diff --git a/.github/actions/build-action/action.yml b/.github/actions/build-action/action.yml
index 709f8b1..bbcf762 100644
--- a/.github/actions/build-action/action.yml
+++ b/.github/actions/build-action/action.yml
@@ -5,6 +5,27 @@ inputs:
   release_tag:
     description: 'The tag name of the release'
     required: false
+  apple_build_certificate_base64:
+    description: 'The base64-encoded Apple build certificate'
+    required: false
+  apple_build_certificate_password:
+    description: 'The password for the Apple build certificate'
+    required: false
+  apple_provisioning_profile_base64:
+    description: 'The base64-encoded Apple provisioning profile'
+    required: false
+  apple_macos_keychain_password:
+    description: 'The password for the macOS keychain'
+    required: false
+  apple_asc_api_key_key_base64:
+    description: 'The base64-encoded Apple ASC API key'
+    required: false
+  apple_asc_api_key_id:
+    description: 'The ID of the Apple ASC API key'
+    required: false
+  apple_asc_api_key_issuer_uuid:
+    description: 'The UUID of the Apple ASC API key issuer'
+    required: false
 
 runs:
   using: 'composite'
@@ -14,16 +35,27 @@ runs:
 
     - name: Determine target filename
       run: |
-        echo "TARGET_NAME=Selfie-${{ runner.os }}-$(uname -m).zip" >> $GITHUB_ENV
+        echo "TARGET_NAME=Selfie-${{ runner.os }}-$(uname -m)" >> $GITHUB_ENV
+      shell: bash
+
+    - name: Set runner architecture
+      run: |
+        ARCH=$(uname -m)
+        if [ "$ARCH" == "x86_64" ]; then
+          echo "RUNNER_ARCH=x64" >> $GITHUB_ENV
+        else
+          echo "RUNNER_ARCH=$ARCH" >> $GITHUB_ENV
+        fi
       shell: bash
 
     - name: Install the Apple certificate and provisioning profile
       if: runner.os == 'macOS'
       env:
-        APPLE_BUILD_CERTIFICATE_BASE64: ${{ secrets.APPLE_BUILD_CERTIFICATE_BASE64 }}
-        APPLE_BUILD_CERTIFICATE_PASSWORD: ${{ secrets.APPLE_BUILD_CERTIFICATE_PASSWORD }}
-        APPLE_PROVISIONING_PROFILE_BASE64: ${{ secrets.APPLE_PROVISIONING_PROFILE_BASE64 }}
-        APPLE_MACOS_KEYCHAIN_PASSWORD: ${{ secrets.APPLE_MACOS_KEYCHAIN_PASSWORD }}
+        APPLE_BUILD_CERTIFICATE_BASE64: ${{ inputs.apple_build_certificate_base64 }}
+        APPLE_BUILD_CERTIFICATE_PASSWORD: ${{ inputs.apple_build_certificate_password }}
+        APPLE_PROVISIONING_PROFILE_BASE64: ${{ inputs.apple_provisioning_profile_base64 }}
+        APPLE_MACOS_KEYCHAIN_PASSWORD: ${{ inputs.apple_macos_keychain_password }}
+        APPLE_ASC_API_KEY_KEY_BASE64: ${{ inputs.apple_asc_api_key_key_base64 }}
       run: |
         CERTIFICATE_PATH=$RUNNER_TEMP/apple_certificate.p12
         PROVISIONING_PROFILE_PATH=$RUNNER_TEMP/apple_provisioning_profile.provisionprofile
@@ -52,23 +84,36 @@ runs:
         echo "$HOME/.local/bin" >> $GITHUB_PATH
       shell: bash
 
+    # Handle Poetry caching manually, based on the following workaround, until caches are keyed by architecture.
+    # https://github.com/actions/setup-python/issues/826#issuecomment-2021999109
     - name: Set up Python
       uses: actions/setup-python@v5
+      id: setup-python
       with:
         python-version: '3.11'
-        cache: poetry
-        cache-dependency-path: poetry.lock
+        architecture: ${{ env.RUNNER_ARCH }}
 
     - name: Install dependencies with Poetry
-      run: poetry install --no-dev
+      run: |
+        poetry install --no-dev
+        echo "POETRY_CACHE_DIR=$(poetry config cache-dir)" >> $GITHUB_ENV
       shell: bash
 
+    - name: Cache Poetry dependencies
+      uses: actions/cache@v4
+      with:
+        path: ${{ env.POETRY_CACHE_DIR }}
+        key: ${{ runner.os }}-poetry-${{ steps.setup-python.outputs.python-version }}-${{ env.RUNNER_ARCH }}-${{ hashFiles('**/poetry.lock') }}
+        restore-keys: |
+          ${{ runner.os }}-poetry-${{ steps.setup-python.outputs.python-version }}-${{ env.RUNNER_ARCH }}
+
     - name: Use Node.js
       uses: actions/setup-node@v4
       with:
         node-version: '20'
         cache: 'yarn'
         cache-dependency-path: selfie-ui/yarn.lock
+        architecture: ${{ env.RUNNER_ARCH }}
 
     - name: Cache Next.js build artifacts
       uses: actions/cache@v4
@@ -98,16 +143,18 @@ runs:
     - name: Build macOS App
       if: runner.os == 'macOS'
       env:
-        APPLE_ASC_API_KEY_KEY_BASE64: ${{ secrets.APPLE_ASC_API_KEY_KEY_BASE64 }}
+        APPLE_ASC_API_KEY_KEY_BASE64: ${{ inputs.apple_asc_api_key_key_base64 }}
+        APPLE_ASC_API_KEY_ID: ${{ inputs.apple_asc_api_key_id }}
+        APPLE_ASC_API_KEY_ISSUER_UUID: ${{ inputs.apple_asc_api_key_issuer_uuid }}
       run: |
         sh scripts/package-macos-app.sh
 
         ditto -c -k --keepParent "${{ github.workspace }}/dist/Selfie.app" "${{ env.TARGET_NAME }}.zip"
 
-        API_KEY_PATH=$RUNNER_TEMP/AuthKey_${{secrets.APPLE_ASC_API_KEY_ID}}.p8
+        API_KEY_PATH=$RUNNER_TEMP/AuthKey_$APPLE_ASC_API_KEY_ID.p8
         echo -n "$APPLE_ASC_API_KEY_KEY_BASE64" | base64 --decode > $API_KEY_PATH
 
-        NOTARIZATION_OUTPUT=$(xcrun notarytool submit "${{ env.TARGET_NAME }}.zip" --issuer ${{ secrets.APPLE_ASC_API_KEY_ISSUER_UUID }} --key-id ${{ secrets.APPLE_ASC_API_KEY_ID }} --key $API_KEY_PATH --wait 2>&1)
+        NOTARIZATION_OUTPUT=$(xcrun notarytool submit "${{ env.TARGET_NAME }}.zip" --issuer $APPLE_ASC_API_KEY_ISSUER_UUID --key-id $APPLE_ASC_API_KEY_ID --key $API_KEY_PATH --wait 2>&1)
 
         REQUEST_UUID=$(echo "${NOTARIZATION_OUTPUT}" | grep 'id:' | awk '{print $NF}')
         NOTARIZATION_STATUS=$(echo "${NOTARIZATION_OUTPUT}" | grep 'status:' | tail -n 1 | awk '{print $NF}')
@@ -123,7 +170,7 @@ runs:
         if [[ "$NOTARIZATION_STATUS" == "Invalid" ]]; then
           echo "Notarization failed with status: ${NOTARIZATION_STATUS}"
           echo "Fetching notarization log for RequestUUID: ${REQUEST_UUID}..."
-          xcrun notarytool log ${REQUEST_UUID} --key $API_KEY_PATH --key-id ${{ secrets.APPLE_ASC_API_KEY_ID }} --issuer ${{ secrets.APPLE_ASC_API_KEY_ISSUER_UUID }}
+          xcrun notarytool log ${REQUEST_UUID} --key $API_KEY_PATH --key-id $APPLE_ASC_API_KEY_ID --issuer $APPLE_ASC_API_KEY_ISSUER_UUID
           exit 1
         elif [[ "$NOTARIZATION_STATUS" != "Accepted" ]]; then
           echo "Notarization failed with an unexpected status: ${NOTARIZATION_STATUS}"
@@ -141,7 +188,7 @@ runs:
 
     - name: Build Non-macOS App
       if: runner.os != 'macOS'
-      run: zip -r Selfie-${{ runner.os }}.zip dist/selfie
+      run: zip -r "${{ env.TARGET_NAME }}.zip" dist/selfie
       shell: bash
 
     - name: Upload Artifact
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 4a1aafc..d1fae24 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -14,7 +14,8 @@ jobs:
         node-version: [20]
 
     steps:
-      - uses: actions/checkout@v4
+      - name: Checkout code
+        uses: actions/checkout@v4
 
       - name: Install Poetry
         run: |
diff --git a/.github/workflows/package.yml b/.github/workflows/package.yml
index 488f37d..55dffbf 100644
--- a/.github/workflows/package.yml
+++ b/.github/workflows/package.yml
@@ -12,5 +12,16 @@ jobs:
         os: [macos-latest, macos-latest-xlarge]
 
     steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
       - name: Build package
         uses: ./.github/actions/build-action
+        with:
+          apple_build_certificate_base64: ${{ secrets.APPLE_BUILD_CERTIFICATE_BASE64 }}
+          apple_build_certificate_password: ${{ secrets.APPLE_BUILD_CERTIFICATE_PASSWORD }}
+          apple_provisioning_profile_base64: ${{ secrets.APPLE_PROVISIONING_PROFILE_BASE64 }}
+          apple_macos_keychain_password: ${{ secrets.APPLE_MACOS_KEYCHAIN_PASSWORD }}
+          apple_asc_api_key_key_base64: ${{ secrets.APPLE_ASC_API_KEY_KEY_BASE64 }}
+          apple_asc_api_key_id: ${{ secrets.APPLE_ASC_API_KEY_ID }}
+          apple_asc_api_key_issuer_uuid: ${{ secrets.APPLE_ASC_API_KEY_ISSUER_UUID }}
\ No newline at end of file
diff --git a/.github/workflows/release-please.yml b/.github/workflows/release-please.yml
index 6a45e20..af928e6 100644
--- a/.github/workflows/release-please.yml
+++ b/.github/workflows/release-please.yml
@@ -42,3 +42,10 @@ jobs:
         uses: ./.github/actions/build-action
         with:
           release_tag: ${{ needs.release-please.outputs.tag_name }}
+          apple_build_certificate_base64: ${{ secrets.APPLE_BUILD_CERTIFICATE_BASE64 }}
+          apple_build_certificate_password: ${{ secrets.APPLE_BUILD_CERTIFICATE_PASSWORD }}
+          apple_provisioning_profile_base64: ${{ secrets.APPLE_PROVISIONING_PROFILE_BASE64 }}
+          apple_macos_keychain_password: ${{ secrets.APPLE_MACOS_KEYCHAIN_PASSWORD }}
+          apple_asc_api_key_key_base64: ${{ secrets.APPLE_ASC_API_KEY_KEY_BASE64 }}
+          apple_asc_api_key_id: ${{ secrets.APPLE_ASC_API_KEY_ID }}
+          apple_asc_api_key_issuer_uuid: ${{ secrets.APPLE_ASC_API_KEY_ISSUER_UUID }}
diff --git a/.gitignore b/.gitignore
index f552a8f..bd686db 100644
--- a/.gitignore
+++ b/.gitignore
@@ -12,9 +12,6 @@ dist/
 
 .idea/
 
-data/*
-!data/.gitkeep
-
 selfie/web/
 
-*.env
\ No newline at end of file
+*.env
diff --git a/poetry.lock b/poetry.lock
index 30da878..5f93e56 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -347,20 +347,6 @@ files = [
 [package.dependencies]
 six = "*"
 
-[[package]]
-name = "bs4"
-version = "0.0.2"
-description = "Dummy package for Beautiful Soup (beautifulsoup4)"
-optional = false
-python-versions = "*"
-files = [
-    {file = "bs4-0.0.2-py2.py3-none-any.whl", hash = "sha256:abf8742c0805ef7f662dce4b51cca104cffe52b835238afc169142ab9b3fbccc"},
-    {file = "bs4-0.0.2.tar.gz", hash = "sha256:a48685c58f50fe127722417bae83fe6badf500d54b55f7e39ffe43b798653925"},
-]
-
-[package.dependencies]
-beautifulsoup4 = "*"
-
 [[package]]
 name = "cachetools"
 version = "5.3.3"
@@ -991,18 +977,18 @@ all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)"
 
 [[package]]
 name = "filelock"
-version = "3.13.1"
+version = "3.13.3"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
-    {file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
+    {file = "filelock-3.13.3-py3-none-any.whl", hash = "sha256:5ffa845303983e7a0b7ae17636509bc97997d58afeafa72fb141a17b152284cb"},
+    {file = "filelock-3.13.3.tar.gz", hash = "sha256:a79895a25bbefdf55d1a2a0a80968f7dbb28edcd6d4234a0afb3f37ecde4b546"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
+docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"]
 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
@@ -1131,13 +1117,13 @@ tqdm = ["tqdm"]
 
 [[package]]
 name = "gekko"
-version = "1.0.7"
+version = "1.1.0"
 description = "Machine learning and optimization for dynamic systems"
 optional = true
 python-versions = ">=2.6"
 files = [
-    {file = "gekko-1.0.7-py3-none-any.whl", hash = "sha256:a3cc8e01e2a38dfa68fd46af1ce129c89b344aef3e5586bba40e634a0fc3ab08"},
-    {file = "gekko-1.0.7.tar.gz", hash = "sha256:317a31ade8e0f902606a316ff03819c38e0d789b931cd0412bf96c5a09b29896"},
+    {file = "gekko-1.1.0-py3-none-any.whl", hash = "sha256:20d27cbeeb19c274c47fd1e7458f9cc84bc72fff5884792e9b7939d28d51fe39"},
+    {file = "gekko-1.1.0.tar.gz", hash = "sha256:7489887f9cd1e920b3b60ac56da46bcf89cb975673248c8f2c33462152e839d8"},
 ]
 
 [package.dependencies]
@@ -1238,13 +1224,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.4"
+version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
-    {file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
+    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
+    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
 ]
 
 [package.dependencies]
@@ -1255,7 +1241,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.25.0)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
@@ -1283,13 +1269,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.21.4"
+version = "0.22.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.21.4-py3-none-any.whl", hash = "sha256:df37c2c37fc6c82163cdd8a67ede261687d80d1e262526d6c0ce73b6b3630a7b"},
-    {file = "huggingface_hub-0.21.4.tar.gz", hash = "sha256:e1f4968c93726565a80edf6dc309763c7b546d0cfe79aa221206034d50155531"},
+    {file = "huggingface_hub-0.22.2-py3-none-any.whl", hash = "sha256:3429e25f38ccb834d310804a3b711e7e4953db5a9e420cc147a5e194ca90fd17"},
+    {file = "huggingface_hub-0.22.2.tar.gz", hash = "sha256:32e9a9a6843c92f253ff9ca16b9985def4d80a93fb357af5353f770ef74a81be"},
 ]
 
 [package.dependencies]
@@ -1302,15 +1288,16 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
-inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["safetensors", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -1355,13 +1342,13 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "7.0.2"
+version = "7.1.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-7.0.2-py3-none-any.whl", hash = "sha256:f4bc4c0c070c490abf4ce96d715f68e95923320370efb66143df00199bb6c100"},
-    {file = "importlib_metadata-7.0.2.tar.gz", hash = "sha256:198f568f3230878cb1b44fbd7975f87906c22336dba2e4a7f05278c281fbd792"},
+    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
+    {file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
 ]
 
 [package.dependencies]
@@ -1370,7 +1357,7 @@ zipp = ">=0.5"
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "inspecta"
@@ -1486,23 +1473,23 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)", "scipy (>=1.10)"]
 
 [[package]]
 name = "llama-index"
-version = "0.10.20"
+version = "0.10.26"
 description = "Interface between LLMs and your data"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "llama_index-0.10.20-py3-none-any.whl", hash = "sha256:e42bcb00a41f2e60fad3da2d286e53ba0d3f963f94741e7bffd9600e80208413"},
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 [package.dependencies]
-llama-index-agent-openai = ">=0.1.4,<0.2.0"
+llama-index-agent-openai = ">=0.1.4,<0.3.0"
 llama-index-cli = ">=0.1.2,<0.2.0"
-llama-index-core = ">=0.10.20,<0.11.0"
+llama-index-core = ">=0.10.26,<0.11.0"
 llama-index-embeddings-openai = ">=0.1.5,<0.2.0"
 llama-index-indices-managed-llama-cloud = ">=0.1.2,<0.2.0"
 llama-index-legacy = ">=0.9.48,<0.10.0"
-llama-index-llms-openai = ">=0.1.5,<0.2.0"
+llama-index-llms-openai = ">=0.1.13,<0.2.0"
 llama-index-multi-modal-llms-openai = ">=0.1.3,<0.2.0"
 llama-index-program-openai = ">=0.1.3,<0.2.0"
 llama-index-question-gen-openai = ">=0.1.2,<0.2.0"
@@ -1511,13 +1498,13 @@ llama-index-readers-llama-parse = ">=0.1.2,<0.2.0"
 
 [[package]]
 name = "llama-index-agent-openai"
-version = "0.1.5"
+version = "0.2.1"
 description = "llama-index agent openai integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -1526,13 +1513,13 @@ llama-index-llms-openai = ">=0.1.5,<0.2.0"
 
 [[package]]
 name = "llama-index-cli"
-version = "0.1.9"
+version = "0.1.11"
 description = "llama-index cli"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -1542,13 +1529,13 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-core"
-version = "0.10.20.post2"
+version = "0.10.26"
 description = "Interface between LLMs and your data"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -1558,7 +1545,7 @@ deprecated = ">=1.2.9.3"
 dirtyjson = ">=1.0.8,<2.0.0"
 fsspec = ">=2023.5.0"
 httpx = "*"
-llamaindex-py-client = ">=0.1.13,<0.2.0"
+llamaindex-py-client = ">=0.1.15,<0.2.0"
 nest-asyncio = ">=1.5.8,<2.0.0"
 networkx = ">=3.0"
 nltk = ">=3.8.1,<4.0.0"
@@ -1574,6 +1561,7 @@ tiktoken = ">=0.3.3"
 tqdm = ">=4.66.1,<5.0.0"
 typing-extensions = ">=4.5.0"
 typing-inspect = ">=0.8.0"
+wrapt = "*"
 
 [package.extras]
 gradientai = ["gradientai (>=1.4.0)"]
@@ -1585,13 +1573,13 @@ query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "l
 
 [[package]]
 name = "llama-index-embeddings-openai"
-version = "0.1.6"
+version = "0.1.7"
 description = "llama-index embeddings openai integration"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1599,13 +1587,13 @@ llama-index-core = ">=0.10.1,<0.11.0"
 
 [[package]]
 name = "llama-index-indices-managed-llama-cloud"
-version = "0.1.4"
+version = "0.1.5"
 description = "llama-index indices llama-cloud integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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-    {file = "llama_index_indices_managed_llama_cloud-0.1.4.tar.gz", hash = "sha256:1ad07aea659125b31cbf45ff939b19f2208f2f52ac7a1e37539d7a15e9db2c86"},
+    {file = "llama_index_indices_managed_llama_cloud-0.1.5-py3-none-any.whl", hash = "sha256:79f636cb6f4fabb12fec153564110f7f4dfda3cacb087793a5fec988484d7d2c"},
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 ]
 
 [package.dependencies]
@@ -1653,17 +1641,17 @@ query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "l
 
 [[package]]
 name = "llama-index-llms-openai"
-version = "0.1.12"
+version = "0.1.14"
 description = "llama-index llms openai integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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+    {file = "llama_index_llms_openai-0.1.14-py3-none-any.whl", hash = "sha256:13cec467962a6ccb9e63451c7febe8e9c2ed536bd6b1058239c2b4fd86776060"},
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 ]
 
 [package.dependencies]
-llama-index-core = ">=0.10.20.post1,<0.11.0"
+llama-index-core = ">=0.10.24,<0.11.0"
 
 [[package]]
 name = "llama-index-multi-modal-llms-openai"
@@ -1682,17 +1670,17 @@ llama-index-llms-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-program-openai"
-version = "0.1.4"
+version = "0.1.5"
 description = "llama-index program openai integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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 [package.dependencies]
-llama-index-agent-openai = ">=0.1.1,<0.2.0"
+llama-index-agent-openai = ">=0.1.1,<0.3.0"
 llama-index-core = ">=0.10.1,<0.11.0"
 llama-index-llms-openai = ">=0.1.1,<0.2.0"
 
@@ -1714,18 +1702,17 @@ llama-index-program-openai = ">=0.1.1,<0.2.0"
 
 [[package]]
 name = "llama-index-readers-file"
-version = "0.1.11"
+version = "0.1.13"
 description = "llama-index readers file integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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 llama-index-core = ">=0.10.1,<0.11.0"
 pymupdf = ">=1.23.21,<2.0.0"
 pypdf = ">=4.0.1,<5.0.0"
@@ -1733,28 +1720,28 @@ striprtf = ">=0.0.26,<0.0.27"
 
 [[package]]
 name = "llama-index-readers-llama-parse"
-version = "0.1.3"
+version = "0.1.4"
 description = "llama-index readers llama-parse integration"
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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 [package.dependencies]
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-llama-parse = ">=0.3.3,<0.4.0"
+llama-parse = ">=0.4.0,<0.5.0"
 
 [[package]]
 name = "llama-parse"
-version = "0.3.9"
+version = "0.4.0"
 description = "Parse files into RAG-Optimized formats."
 optional = false
-python-versions = ">=3.8.1,<4.0"
+python-versions = "<4.0,>=3.8.1"
 files = [
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 [package.dependencies]
@@ -1762,13 +1749,13 @@ llama-index-core = ">=0.10.7"
 
 [[package]]
 name = "llamaindex-py-client"
-version = "0.1.13"
+version = "0.1.15"
 description = ""
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
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 ]
 
 [package.dependencies]
@@ -1829,96 +1816,132 @@ zeno = ["pandas", "zeno-client"]
 
 [[package]]
 name = "lxml"
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+version = "5.2.0"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
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 python-versions = ">=3.6"
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 [package.extras]
 cssselect = ["cssselect (>=0.7)"]
+html-clean = ["lxml-html-clean"]
 html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
-source = ["Cython (>=3.0.7)"]
+source = ["Cython (>=3.0.10)"]
 
 [[package]]
 name = "markupsafe"
@@ -2489,13 +2512,13 @@ files = [
 
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+version = "1.14.3"
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 [package.dependencies]
@@ -2512,13 +2535,13 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
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 python-versions = ">=3.7.0"
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 [package.dependencies]
@@ -2529,17 +2552,17 @@ numpy = "*"
 packaging = "*"
 sympy = "*"
 torch = ">=1.11"
-transformers = {version = ">=4.26.0", extras = ["sentencepiece"]}
+transformers = {version = ">=4.26.0,<4.40.0", extras = ["sentencepiece"]}
 
 [package.extras]
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 benchmark = ["evaluate (>=0.2.0)", "optuna", "scikit-learn", "seqeval", "torchvision", "tqdm"]
-dev = ["Pillow", "accelerate", "black (>=23.1,<24.0)", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest", "pytest-xdist", "requests", "rjieba", "ruff (==0.1.5)", "sacremoses", "scikit-learn", "timm", "torchaudio", "torchvision"]
+dev = ["Pillow", "accelerate", "black (>=23.1,<24.0)", "diffusers (>=0.17.0)", "einops", "invisible-watermark", "parameterized", "pytest (<=8.0.0)", "pytest-xdist", "requests", "rjieba", "ruff (==0.1.5)", "sacremoses", "scikit-learn", "timm", "torchaudio", "torchvision"]
 diffusers = ["diffusers"]
 doc-build = ["accelerate"]
 exporters = ["onnx", "onnxruntime", "timm"]
 exporters-gpu = ["onnx", "onnxruntime-gpu", "timm"]
-exporters-tf = ["h5py", "numpy (<1.24.0)", "onnx", "onnxruntime", "tensorflow (>=2.4,<=2.12.1)", "tf2onnx", "timm"]
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 furiosa = ["optimum-furiosa"]
 graphcore = ["optimum-graphcore"]
 habana = ["optimum-habana", "transformers (>=4.37.0,<4.38.0)"]
@@ -2552,7 +2575,7 @@ onnxruntime = ["datasets (>=1.2.1)", "evaluate", "onnx", "onnxruntime (>=1.11.0)
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 [[package]]
 name = "ordered-set"
@@ -2679,13 +2702,13 @@ files = [
 
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+version = "0.10.0"
 description = "Parameter-Efficient Fine-Tuning (PEFT)"
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 [package.dependencies]
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 ]
 
 [package.dependencies]
@@ -4515,7 +4539,7 @@ nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"
 nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
+triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -4524,55 +4548,56 @@ optree = ["optree (>=0.9.1)"]
 
 [[package]]
 name = "torchvision"
-version = "0.17.1"
+version = "0.17.0"
 description = "image and video datasets and models for torch deep learning"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
-torch = "2.2.1"
+requests = "*"
+torch = "2.2.0"
 
 [package.extras]
 scipy = ["scipy"]
 
 [[package]]
 name = "tox"
-version = "4.14.1"
+version = "4.14.2"
 description = "tox is a generic virtualenv management and test command line tool"
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "tox-4.14.2-py3-none-any.whl", hash = "sha256:2900c4eb7b716af4a928a7fdc2ed248ad6575294ed7cfae2ea41203937422847"},
+    {file = "tox-4.14.2.tar.gz", hash = "sha256:0defb44f6dafd911b61788325741cc6b2e12ea71f987ac025ad4d649f1f1a104"},
 ]
 
 [package.dependencies]
@@ -4631,13 +4656,13 @@ dev = ["twine"]
 
 [[package]]
 name = "transformers"
-version = "4.38.2"
+version = "4.39.2"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -5268,4 +5293,4 @@ gpu = ["auto-gptq", "autoawq", "optimum"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "ec5a8c0812ac9b0af578f989e8e3a8d3bad757bab9a7f271b12fd8948b829b1f"
+content-hash = "b9f9faf23d7e0cd016ef6db07d40690fead97fe9aa8f1b3f7c76fd41d371c3af"
diff --git a/pyproject.toml b/pyproject.toml
index 2754b73..6982f57 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -27,6 +27,7 @@ python-dotenv = "^1.0.1"
 pillow = "^10.2.0"
 pyqt6 = "^6.6.1"
 swig = "^4.2.1"
+torch = ">=2.0, <2.2.1"  # 2.2.1 and 2.2.2 break macOS builds
 
 # Experimental GPU Features
 auto-gptq = { version = "^0.6.0", optional = true }
diff --git a/selfie-ui/src/app/components/Playground/NoDocumentsBanner.tsx b/selfie-ui/src/app/components/Playground/NoDocumentsBanner.tsx
new file mode 100644
index 0000000..58ea857
--- /dev/null
+++ b/selfie-ui/src/app/components/Playground/NoDocumentsBanner.tsx
@@ -0,0 +1,30 @@
+import React from 'react';
+
+interface Props {
+  documents: any[];
+}
+
+const NoDocumentsBanner: React.FC<Props> = ({ documents }) => {
+  if (documents.length === 0) {
+    return (
+      <div role="alert" className="alert alert-info mb-4">
+        <svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24"
+             className="stroke-current shrink-0 w-6 h-6">
+          <path strokeLinecap="round" strokeLinejoin="round" strokeWidth="2"
+                d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"></path>
+        </svg>
+        <div>
+          <h3 className="font-bold">No data found</h3>
+          <div className="text-xs">Add some documents with the <a href="/#addData" className="link">Add Data</a> page to get
+            started.
+          </div>
+        </div>
+      </div>
+    );
+  }
+  return null;
+};
+
+NoDocumentsBanner.displayName = 'NoDocumentsBanner'
+
+export default NoDocumentsBanner;
diff --git a/selfie-ui/src/app/components/Playground/Playground.tsx b/selfie-ui/src/app/components/Playground/Playground.tsx
index 569db61..0adf6d7 100644
--- a/selfie-ui/src/app/components/Playground/Playground.tsx
+++ b/selfie-ui/src/app/components/Playground/Playground.tsx
@@ -1,10 +1,28 @@
+import React, { useEffect, useState } from 'react';
 import PlaygroundChat from "./PlaygroundChat";
 import PlaygroundQuery from "./PlaygroundQuery";
+import NoDocumentsBanner from "./NoDocumentsBanner";
+import { apiBaseUrl } from "@/app/config";
 
 const Playground = () => {
+  const [documents, setDocuments] = useState(null);
+
+  useEffect(() => {
+    (async () => {
+      try {
+        const response = await fetch(`${apiBaseUrl}/v1/documents`);
+        const data = await response.json();
+        setDocuments(data);
+      } catch (error) {
+        console.error("Error fetching documents:", error);
+      }
+    })();
+  }, []);
+
   return (
     <>
-      <PlaygroundChat />
+      {documents && <NoDocumentsBanner documents={documents} /> }
+      <PlaygroundChat hasIndexedDocuments={(documents ?? []).length > 0} />
       <div className="h-4" />
       <PlaygroundQuery />
     </>
diff --git a/selfie-ui/src/app/components/Playground/PlaygroundQuery.tsx b/selfie-ui/src/app/components/Playground/PlaygroundQuery.tsx
index 54af79b..f0a3154 100644
--- a/selfie-ui/src/app/components/Playground/PlaygroundQuery.tsx
+++ b/selfie-ui/src/app/components/Playground/PlaygroundQuery.tsx
@@ -114,67 +114,19 @@ const PlaygroundQuery = () => {
       <div className="flex flex-col lg:flex-row gap-4">
         <div className="lg:w-1/2">
           <form className="form max-w-full" onSubmit={handleQuery}>
-            <div className="form-control mb-2">
-              {/*<label className="label">*/}
-              {/*<span className="label-text">Limit</span>*/}
-              {/*</label>*/}
+            <label className="input input-bordered flex items-center gap-2">
               <input
-                type="number"
-                className="input input-sm input-bordered"
-                placeholder="Number of documents (optional)"
-                value={limit === undefined ? "" : limit}
-                onChange={(e) => setLimit(Number(e.target.value) || undefined)}
-                min="1"
-              />
-            </div>
-
-            <div className="form-control">
-              {/*<label className="label">*/}
-              {/*  <span className="label-text">Minimum Score</span>*/}
-              {/*</label>*/}
-              <input
-                type="number"
-                className="input input-sm input-bordered"
-                placeholder="Minimum score (optional)"
-                value={minScore === undefined ? "" : minScore}
-                onChange={(e) => setMinScore(Number(e.target.value) || undefined)}
-                min="0"
-                max="1"
-                step="0.01"
-              />
-            </div>
-
-            <div className="form-control mb-2">
-              {/*<label className="label">*/}
-              {/*  <span className="label-text">Relevance Weight</span>*/}
-              {/*</label>*/}
-              <input
-                type="number"
-                className="input input-sm input-bordered"
-                value={relevanceWeight === undefined ? "" : relevanceWeight}
-                placeholder="Relevance weight (optional)"
-                onChange={(e) => setRelevanceWeight(e.target.value ? Number(e.target.value) : undefined)}
-                min="0"
-                max="1"
-                step="0.01"
-              />
-            </div>
-
-            <div className="form-control mb-2">
-              {/*<label className="label">*/}
-              {/*  <span className="label-text">Recency Weight</span>*/}
-              {/*</label>*/}
-              <input
-                type="number"
-                className="input input-sm input-bordered"
-                value={recencyWeight === undefined ? "" : recencyWeight}
-                placeholder="Recency weight (optional)"
-                onChange={(e) => setRecencyWeight(e.target.value ? Number(e.target.value) : undefined)}
-                min="0"
-                max="1"
-                step="0.01"
+                disabled={isTaskRunning}
+                type="text"
+                className="grow bg-base-100"
+                placeholder="E.g. favorite snacks"
+                value={query}
+                onChange={handleQueryChange}
               />
-            </div>
+              {/*<button type="submit">*/}
+              {/*  {isSummaryLoading ? <LoadingIcon/> : <SearchIcon/>}*/}
+              {/*</button>*/}
+            </label>
 
             <div className="form-control">
               <label className="label cursor-pointer flex gap-2 items-center">
@@ -188,19 +140,80 @@ const PlaygroundQuery = () => {
               </label>
             </div>
 
-            <label className="input input-bordered flex items-center gap-2 mb-4">
-              <input
-                disabled={isTaskRunning}
-                type="text"
-                className="grow bg-base-100"
-                placeholder="Search for anything..."
-                value={query}
-                onChange={handleQueryChange}
-              />
-              <button type="submit" className="button">
-                {isSummaryLoading ? <LoadingIcon /> : <SearchIcon />}
-              </button>
-            </label>
+
+            <div className="collapse collapse-arrow collapse-xs bg-base-200 mb-4">
+              <input type="checkbox"/>
+              <div className="collapse-title">
+                Advanced options
+              </div>
+              <div className="collapse-content flex flex-col gap-2">
+                <div className="form-control">
+                  {/*<label className="label">*/}
+                  {/*<span className="label-text">Limit</span>*/}
+                  {/*</label>*/}
+                  <input
+                    type="number"
+                    className="input input-sm input-bordered"
+                    placeholder="Maximum number of documents"
+                    value={limit === undefined ? "" : limit}
+                    onChange={(e) => setLimit(Number(e.target.value) || undefined)}
+                    min="1"
+                  />
+                </div>
+
+                <div className="form-control">
+                  {/*<label className="label">*/}
+                  {/*  <span className="label-text">Minimum Score</span>*/}
+                  {/*</label>*/}
+                  <input
+                    type="number"
+                    className="input input-sm input-bordered"
+                    placeholder="Minimum score (0.0 to 1.0)"
+                    value={minScore === undefined ? "" : minScore}
+                    onChange={(e) => setMinScore(Number(e.target.value) || undefined)}
+                    min="0"
+                    max="1"
+                    step="0.01"
+                  />
+                </div>
+
+                <div className="form-control">
+                  {/*<label className="label">*/}
+                  {/*  <span className="label-text">Relevance Weight</span>*/}
+                  {/*</label>*/}
+                  <input
+                    type="number"
+                    className="input input-sm input-bordered"
+                    value={relevanceWeight === undefined ? "" : relevanceWeight}
+                    placeholder="Relevance weight (0.0 to 1.0)"
+                    onChange={(e) => setRelevanceWeight(e.target.value ? Number(e.target.value) : undefined)}
+                    min="0"
+                    max="1"
+                    step="0.01"
+                  />
+                </div>
+
+                <div className="form-control">
+                  {/*<label className="label">*/}
+                  {/*  <span className="label-text">Recency Weight</span>*/}
+                  {/*</label>*/}
+                  <input
+                    type="number"
+                    className="input input-sm input-bordered"
+                    value={recencyWeight === undefined ? "" : recencyWeight}
+                    placeholder="Recency weight (0.0 to 1.0)"
+                    onChange={(e) => setRecencyWeight(e.target.value ? Number(e.target.value) : undefined)}
+                    min="0"
+                    max="1"
+                    step="0.01"
+                  />
+                </div>
+              </div>
+            </div>
+
+            <button type="submit" className="btn btn-primary btn-block">
+              Submit
+            </button>
           </form>
         </div>
         {!!summary && (
diff --git a/selfie-ui/src/app/components/Settings/Settings.tsx b/selfie-ui/src/app/components/Settings/Settings.tsx
new file mode 100644
index 0000000..86f1639
--- /dev/null
+++ b/selfie-ui/src/app/components/Settings/Settings.tsx
@@ -0,0 +1,411 @@
+import React, { FormEvent, useEffect, useState } from "react";
+import TailwindForm from "../../components/rjsf";
+import validator from '@rjsf/validator-ajv8';
+import { apiBaseUrl } from "@/app/config";
+import TaskToast from "@/app/components/TaskToast";
+import useAsyncTask from "@/app/hooks/useAsyncTask";
+
+const Settings = () => {
+  const [settings, setSettings] = useState<any>({});
+  const [models, setModels] = useState({ data: [] });
+  const [isSaving, setIsSaving] = useState(false);
+  const {isTaskRunning, taskMessage, executeTask} = useAsyncTask();
+
+  const schema = {
+    // title: "Settings",
+    description: "Configure your application settings.",
+    type: "object",
+    required: ["method"],
+    properties: {
+      ngrok_enabled: { type: "boolean", title: "Enable ngrok (create a public URL for your app via http://ngrok.com)", default: false },
+      method: {
+        type: "string",
+        title: "LLM provider",
+        enum: ["llama.cpp", "litellm"],
+        enumNames: ['Local (llama.cpp)', 'Other (litellm)'],
+        default: "llama.cpp"
+      },
+      verbose_logging: { type: "boolean", title: "Verbose logging", default: false },
+      // name: { type: "string", title: "Name" },
+      // description: { type: "string", title: "Description" },
+      // apiKey: { type: "string", title: "API Key" },
+      // host: { type: "string", title: "Host", default: "http://localhost" },
+      // port: { type: "integer", title: "Port", default: 8000 },
+      // share: { type: "boolean", title: "Share", default: false },
+    },
+    allOf: [
+      {
+        if: {
+          properties: {
+            ngrok_enabled: { const: true },
+          },
+        },
+        then: {
+          properties: {
+            ngrok_authtoken: {
+              type: "string",
+              title: "ngrok token",
+            },
+            ngrok_domain: {
+              type: "string",
+              title: "ngrok domain",
+            },
+          },
+          required: ["ngrok_authtoken"],
+        },
+      },
+      {
+        if: {
+          properties: {
+            method: {
+              title: "Local",
+              description: "Local",
+              const: "llama.cpp",
+            }
+          },
+        },
+        then: {
+          properties: {
+            gpu: {
+              type: "boolean",
+              title: "GPU mode (check this if you have an Nvidia GPU or ARM Apple CPU for improved performance)",
+              default: false
+            },
+            model: {
+              // anyOf: [
+                // ...[models.data.length && {
+                // {
+                //   type: "string",
+                //   title: "Select an already-downloaded model",
+                //   enum: models.data.map(m => m.id),
+                //   default: models.data[0]?.id,
+                // },
+                // }].filter(Boolean),
+                // {
+                  type: "string",
+                  // title: "Type in a model",
+                  title: "Model",
+                // },
+              // ],
+            },
+          },
+          required: ["model"],
+        },
+      },
+      {
+        if: {
+          properties: { method: { const: "litellm" } },
+        },
+        then: {
+          properties: {
+            model: {
+              type: "string",
+              title: "Model",
+              default: "gpt-3.5-turbo",
+            },
+            api_key: {
+              type: "string",
+              title: "API Key",
+            },
+            api_base: {
+              type: "string",
+              title: "API Base",
+            },
+            environment_variables: {
+              type: "object",
+              title: "Environment variables",
+              additionalProperties: {
+                type: "string",
+              },
+            },
+          },
+          required: ["model"],
+        },
+      },
+    ],
+  };
+
+  console.log(models)
+
+  const uiSchema = {
+    'ui:order': ['gpu', 'ngrok_enabled', 'ngrok_authtoken', 'ngrok_domain', '*', 'verbose_logging'],
+
+    // TODO: this doesn't work
+    // ngrok_enabled: {
+    //   "ui:enableMarkdownInDescription": true,
+    //   "ui:description": "Enables <a className='link' href='https://ngrok.com'>ngrok</a> for exposing your local server to the internet.",
+    // },
+
+    method: {
+      "ui:widget": "radio",
+    },
+    model: {
+      // "ui:autofocus": true,
+      // "ui:emptyValue": "",
+      // "ui:placeholder": "ui:emptyValue causes this field to always be valid despite being required",
+      // "ui:autocomplete": "family-name",
+      "ui:enableMarkdownInDescription": true,
+      // "ui:description": "E.g. `ollama/llama2`. Make sure your model is a valid <a className=\"link\" href=\"https://litellm.vercel.app/docs/#litellm-python-sdk\">LiteLLM model</a>."
+      "ui:description": settings.method === "litellm" ?
+        "E.g. `ollama/llama2`. Make sure your model is a valid <a className='link' href='https://litellm.vercel.app/docs/#litellm-python-sdk'>LiteLLM model</a>." :
+        `The following models were previously downloaded and can be used immediately:\n\n ${models?.data.map((m: { id: string }) => `• ${m.id}`).join("\n\n")}`,
+    },
+  };
+
+  const getSettings = async () => {
+    const response = await fetch(`${apiBaseUrl}/v1/settings`);
+    const data = await response.json();
+    console.log("Fetched settings:", data);
+    setSettings(data);
+  }
+
+  const saveSettings = (formData: any) => {
+    executeTask(async () => {
+      const response = await fetch(`${apiBaseUrl}/v1/settings`, {
+        method: "PUT",
+        body: JSON.stringify(formData),
+        headers: {
+          "Content-Type": "application/json",
+        },
+      });
+      if (!response.ok) {
+        throw new Error(`Failed to save settings: ${response.statusText}`);
+      }
+      await getSettings();
+    }, {
+      start: 'Saving settings...',
+      success: 'Settings saved successfully!',
+      error: 'Failed to save settings. Please try again.',
+    });
+  };
+
+
+  const onSubmit = async (data: any, event?: FormEvent<HTMLFormElement>) => {
+    const { formData } = data;
+
+    // TODO: This is a hack, find a better way.
+    // Ensure api_key, api_base, model are sent with empty strings if they are not present
+    const formDataWithDefaults = formData?.method === 'litellm' ? { ...{
+        model: undefined,
+        api_key: undefined,
+        api_base: undefined,
+      }, ...formData } : formData;
+
+    try {
+      await saveSettings(formDataWithDefaults);
+      console.log("Settings saved successfully!");
+    } catch (error) {
+      console.error("Error saving settings:", error);
+    }
+  };
+
+  useEffect(() => {
+    (async () => {
+      await getSettings();
+    })();
+  }, []);
+
+  useEffect(() => {
+    (async () => {
+      if (settings.method === "litellm") {
+        const response = await fetch(`${apiBaseUrl}/v1/models`);
+        const { data } = await response.json();
+        setModels({ data: data?.filter((model: any) => model.id.endsWith(".gguf"))})
+      }
+    })();
+  }, [settings.method]);
+
+  const deepMerge = (target: any, source: any) => {
+    for (const key in source) {
+      if (source[key] && typeof source[key] === 'object') {
+        if (!target[key] || typeof target[key] !== 'object') {
+          target[key] = {};
+        }
+        deepMerge(target[key], source[key]);
+      } else {
+        target[key] = source[key];
+      }
+    }
+    return target;
+  };
+
+  const applyPreset = (preset: Preset) => {
+    setSettings((prevSettings: any) =>
+      deepMerge({...prevSettings}, preset.settings)
+    );
+  }
+
+  const renderPreset = (preset: Preset) => {
+    return (
+      <div key={preset.label} className="preset-button inline-block mr-2">
+        <button
+          className="btn btn-accent relative"
+          onClick={() => applyPreset(preset)}
+        >
+          {preset.label}
+          {preset.docsLink && (
+            <a
+              href={preset.docsLink}
+              target="_blank"
+              rel="noopener noreferrer"
+              className="link text-xs rounded-br-lg absolute bottom-0 right-0 px-1 rounded-tl-sm bg-neutral text-neutral-content"
+              onClick={(e) => e.stopPropagation()}
+            >
+              Docs
+            </a>
+          )}
+        </button>
+      </div>
+    );
+  }
+
+  interface PresetSetting {
+    method: string;
+    model: string;
+    api_key: string;
+    api_base: string;
+    environment_variables?: {
+      [key: string]: string;
+    };
+  }
+
+  interface Preset {
+    label: string;
+    docsLink: string;
+    settings: PresetSetting;
+  }
+
+  const presets: Preset[] = [
+    {
+      label: 'Local Mistral 7B',
+      docsLink: 'https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF',
+      settings: {
+        method: 'llama.cpp',
+        model: 'TheBloke/Mistral-7B-Instruct-v0.2-GGUF/mistral-7b-instruct-v0.2.Q4_K_M.gguf',
+        api_key: '',
+        api_base: '',
+      }
+    },
+    {
+      label: 'Local Mixtral 8x7B',
+      docsLink: 'https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF',
+      settings: {
+        method: 'llama.cpp',
+        model: 'TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF/mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf',
+        api_key: '',
+        api_base: '',
+      }
+    },
+    {
+      label: 'Ollama',
+      docsLink: 'https://litellm.vercel.app/docs/providers/ollama',
+      settings: {
+        method: 'litellm',
+        model: 'ollama_chat/mistral',
+        api_key: '',
+        api_base: '',
+      }
+    },
+    {
+      label: 'OpenAI-Compatible',
+      docsLink: 'https://litellm.vercel.app/docs/providers/openai_compatible',
+      settings: {
+        method: 'litellm',
+        model: 'openai/mistral',
+        api_key: 'sk-1234',
+        api_base: 'http://0.0.0.0:4000',
+      }
+    },
+    {
+      label: 'OpenRouter',
+      docsLink: 'https://litellm.vercel.app/docs/providers/openrouter',
+      settings: {
+        method: 'litellm',
+        model: 'openrouter/google/palm-2-chat-bison',
+        api_key: '<your-openrouter-api-key>',
+        api_base: '',
+        environment_variables: {
+          OPENROUTER_API_KEY: '<your-openrouter-api-key>',
+          OR_SITE_URL: '',
+          OR_APP_NAME: '',
+        },
+      }
+    },
+    {
+      label: 'OpenAI',
+      docsLink: 'https://litellm.vercel.app/docs/providers/openai',
+      settings: {
+        method: 'litellm',
+        model: 'gpt-3.5-turbo',
+        api_key: '<your-openai-api-key>',
+        api_base: '',
+        environment_variables: {
+          OPENAI_API_KEY: '<your-openai-api-key>',
+        },
+      }
+    },
+    // {
+    //   label: 'Custom OpenAI Proxy',
+    //   docsLink: 'https://litellm.vercel.app/docs/providers/custom_openai_proxy',
+    //   settings: {
+    //     method: 'litellm',
+    //     model: 'command-nightly',
+    //     api_key: 'anything',
+    //     api_base: 'https://openai-proxy.berriai.repl.co',
+    //     environment_variables: {
+    //       OPENAI_API_KEY: 'anything',
+    //     },
+    //     custom_llm_provider: 'openai',  # Need to think about how to support this
+    //   }
+    // },
+  ];
+
+  return (
+    <>
+      <h2 className="text-xl font-bold mb-4">LLM Presets</h2>
+
+      {taskMessage && <TaskToast isTaskRunning={isTaskRunning} taskMessage={taskMessage}/>}
+      {settings.method === "llama.cpp" && (
+          <div role="alert" className="alert my-6">
+            <svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 24 24"
+                 className="stroke-info shrink-0 w-6 h-6">
+              <path strokeLinecap="round" strokeLinejoin="round" strokeWidth="2"
+                    d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"></path>
+            </svg>
+            <span>Heads up, you&apos;ve selected llama.cpp - please ensure you have enough system RAM to load the configured model!</span>
+          </div>
+      )}
+
+      <p>Customize your LLM provider using one of the presets below, or manually configure <a className="link"
+                                                                                              href="https://huggingface.co/models?pipeline_tag=text-generation&sort=trending&search=gguf"
+                                                                                              target="_blank">any
+        llama.cpp</a> or <a className="link" href="https://litellm.vercel.app/docs/providers" target="_blank">LiteLLM-supported
+        model.</a> Configure <a href="https://ngrok.com" target="_blank" className="link">ngrok</a> to expose your local server to the internet.</p>
+
+      <div className="my-3 flex gap-2 flex-wrap">
+        {presets.map(renderPreset)}
+      </div>
+
+      <h2 className="text-xl font-bold mb-4">Your Settings</h2>
+
+      <TailwindForm
+        schema={schema}
+        uiSchema={uiSchema}
+        onSubmit={onSubmit}
+        onChange={({formData}) => setSettings(formData)}
+        validator={validator}
+        formData={settings}
+      >
+        <div>
+          <button type="submit" className="btn btn-lg btn-block btn-primary mt-4 w-full" disabled={isSaving}>
+            {isSaving ? 'Saving...' : 'Save Settings'}
+          </button>
+        </div>
+      </TailwindForm>
+    </>
+  );
+};
+
+Settings.displayName = "Settings";
+
+export default Settings;
diff --git a/selfie-ui/src/app/components/Settings/index.tsx b/selfie-ui/src/app/components/Settings/index.tsx
new file mode 100644
index 0000000..8a4c4e8
--- /dev/null
+++ b/selfie-ui/src/app/components/Settings/index.tsx
@@ -0,0 +1,3 @@
+import Settings from "./Settings";
+
+export { Settings }
diff --git a/selfie-ui/src/app/components/rjsf/AddButton/AddButton.tsx b/selfie-ui/src/app/components/rjsf/AddButton/AddButton.tsx
index 2f8883b..e87658e 100644
--- a/selfie-ui/src/app/components/rjsf/AddButton/AddButton.tsx
+++ b/selfie-ui/src/app/components/rjsf/AddButton/AddButton.tsx
@@ -16,8 +16,7 @@ export default function AddButton<
   return (
     <button
       {...props}
-      style={{ width: "100%" }}
-      className={`ml-1 grid justify-items-center bg-blue-500 px-4 py-2 text-base font-normal text-white hover:bg-blue-700 ${props.className}`}
+      className={`btn btn-block text-base ${props.className}`}
       title={translateString(TranslatableString.AddItemButton)}
     >
       <BsPlus />
diff --git a/selfie-ui/src/app/components/rjsf/ArrayFieldItemTemplate/ArrayFieldItemTemplate.tsx b/selfie-ui/src/app/components/rjsf/ArrayFieldItemTemplate/ArrayFieldItemTemplate.tsx
index c9ea327..34aacc5 100644
--- a/selfie-ui/src/app/components/rjsf/ArrayFieldItemTemplate/ArrayFieldItemTemplate.tsx
+++ b/selfie-ui/src/app/components/rjsf/ArrayFieldItemTemplate/ArrayFieldItemTemplate.tsx
@@ -4,7 +4,6 @@ import {
   RJSFSchema,
   StrictRJSFSchema,
 } from "@rjsf/utils"
-import { CSSProperties } from "react"
 
 export default function ArrayFieldItemTemplate<
   T = any,
@@ -30,69 +29,53 @@ export default function ArrayFieldItemTemplate<
 
   const { CopyButton, MoveDownButton, MoveUpButton, RemoveButton } =
     registry.templates.ButtonTemplates
-  const btnStyle: CSSProperties = {
-    flex: 1,
-    paddingLeft: 6,
-    paddingRight: 6,
-    fontWeight: "bold",
+
+
+  const renderToolbar = () => {
+    return <>
+      {(hasMoveUp || hasMoveDown) && (
+        <MoveUpButton
+          className="array-item-move-up self-end"
+          disabled={disabled || readonly || !hasMoveUp}
+          onClick={onReorderClick(index, index - 1)}
+          uiSchema={uiSchema}
+          registry={registry}
+        />
+      )}
+      {(hasMoveUp || hasMoveDown) && (
+        <MoveDownButton
+          className="self-end"
+          disabled={disabled || readonly || !hasMoveDown}
+          onClick={onReorderClick(index, index + 1)}
+          uiSchema={uiSchema}
+          registry={registry}
+        />
+      )}
+      {hasCopy && (
+        <CopyButton
+          className="self-end"
+          disabled={disabled || readonly}
+          onClick={onCopyIndexClick(index)}
+          uiSchema={uiSchema}
+          registry={registry}
+        />
+      )}
+      {hasRemove && (
+        <RemoveButton
+          className="self-end"
+          disabled={disabled || readonly}
+          onClick={onDropIndexClick(index)}
+          uiSchema={uiSchema}
+          registry={registry}
+        />
+      )}
+    </>
   }
 
   return (
-    <div>
-      <div className="mb-2 flex items-center">
-        <div className="w-3/4 flex-none lg:w-3/4">{children}</div>
-        <div className="w-1/4 flex-none px-4 py-6 lg:w-1/4">
-          {hasToolbar && (
-            <div className="flex ">
-              {(hasMoveUp || hasMoveDown) && (
-                <div className="m-0 p-0">
-                  <MoveUpButton
-                    className="array-item-move-up"
-                    style={btnStyle}
-                    disabled={disabled || readonly || !hasMoveUp}
-                    onClick={onReorderClick(index, index - 1)}
-                    uiSchema={uiSchema}
-                    registry={registry}
-                  />
-                </div>
-              )}
-              {(hasMoveUp || hasMoveDown) && (
-                <div className="m-0 p-0">
-                  <MoveDownButton
-                    style={btnStyle}
-                    disabled={disabled || readonly || !hasMoveDown}
-                    onClick={onReorderClick(index, index + 1)}
-                    uiSchema={uiSchema}
-                    registry={registry}
-                  />
-                </div>
-              )}
-              {hasCopy && (
-                <div className="m-0 p-0">
-                  <CopyButton
-                    style={btnStyle}
-                    disabled={disabled || readonly}
-                    onClick={onCopyIndexClick(index)}
-                    uiSchema={uiSchema}
-                    registry={registry}
-                  />
-                </div>
-              )}
-              {hasRemove && (
-                <div className="m-0 p-0">
-                  <RemoveButton
-                    style={btnStyle}
-                    disabled={disabled || readonly}
-                    onClick={onDropIndexClick(index)}
-                    uiSchema={uiSchema}
-                    registry={registry}
-                  />
-                </div>
-              )}
-            </div>
-          )}
-        </div>
-      </div>
+    <div className="mb-2 flex items-center gap-1">
+      <div className="w-full">{children}</div>
+        {hasToolbar && renderToolbar()}
     </div>
   )
 }
diff --git a/selfie-ui/src/app/components/rjsf/ArrayFieldTemplate/ArrayFieldTemplate.tsx b/selfie-ui/src/app/components/rjsf/ArrayFieldTemplate/ArrayFieldTemplate.tsx
index 428bd81..68c8d2e 100644
--- a/selfie-ui/src/app/components/rjsf/ArrayFieldTemplate/ArrayFieldTemplate.tsx
+++ b/selfie-ui/src/app/components/rjsf/ArrayFieldTemplate/ArrayFieldTemplate.tsx
@@ -79,19 +79,14 @@ export default function ArrayFieldTemplate<
                 ),
               )}
             {canAdd && (
-              <div className="">
-                <div className="mt-2 flex">
-                  <div className="w-3/4"></div>
-                  <div className="w-1/4 px-4 py-6">
-                    <AddButton
-                      className="array-item-add"
-                      onClick={onAddClick}
-                      disabled={disabled || readonly}
-                      uiSchema={uiSchema}
-                      registry={registry}
-                    />
-                  </div>
-                </div>
+              <div className="w-full">
+                <AddButton
+                  className="btn-accent array-item-add"
+                  onClick={onAddClick}
+                  disabled={disabled || readonly}
+                  uiSchema={uiSchema}
+                  registry={registry}
+                />
               </div>
             )}
           </div>
diff --git a/selfie-ui/src/app/components/rjsf/BaseInputTemplate/BaseInputTemplate.tsx b/selfie-ui/src/app/components/rjsf/BaseInputTemplate/BaseInputTemplate.tsx
index a7170a1..cfdd898 100644
--- a/selfie-ui/src/app/components/rjsf/BaseInputTemplate/BaseInputTemplate.tsx
+++ b/selfie-ui/src/app/components/rjsf/BaseInputTemplate/BaseInputTemplate.tsx
@@ -43,10 +43,11 @@ export default function BaseInputTemplate<
   const _onFocus = ({ target: { value } }: FocusEvent<HTMLInputElement>) =>
     onFocus(id, value)
 
+  // TODO: It seems like input-error is never applied.
   const inputClass = `
-    border rounded-lg p-2 focus:border-primary focus:outline-none w-full bg-background
-    ${rawErrors.length > 0 ? "border-red-500" : "border-muted-foreground"}
-  `
+    input input-bordered w-full
+    ${rawErrors.length > 0 ? "input-error" : ""}
+    ${((disabled || readonly) ? "input-disabled" : "")}`
 
   return (
     <>
diff --git a/selfie-ui/src/app/components/rjsf/CheckboxWidget/CheckboxWidget.tsx b/selfie-ui/src/app/components/rjsf/CheckboxWidget/CheckboxWidget.tsx
index 200eecf..eab258a 100644
--- a/selfie-ui/src/app/components/rjsf/CheckboxWidget/CheckboxWidget.tsx
+++ b/selfie-ui/src/app/components/rjsf/CheckboxWidget/CheckboxWidget.tsx
@@ -53,7 +53,7 @@ export default function CheckboxWidget<
   const description = options.description || schema.description
   return (
     <div
-      className={`relative ${
+      className={`form-control relative ${
         disabled || readonly ? "cursor-not-allowed opacity-50" : ""
       }`}
       aria-describedby={ariaDescribedByIds<T>(id)}
@@ -67,7 +67,7 @@ export default function CheckboxWidget<
           registry={registry}
         />
       )}
-      <label className="mt-4 block">
+      <label className={`label ${(disabled || readonly) ? '' : 'cursor-pointer'} flex justify-start gap-2`}>
         <input
           id={id}
           name={id}
@@ -79,9 +79,9 @@ export default function CheckboxWidget<
           onChange={_onChange}
           onBlur={_onBlur}
           onFocus={_onFocus}
-          className="form-checkbox text-primary"
+          className="checkbox"
         />
-        <span className="ml-2">{labelValue(label, hideLabel || !label)}</span>
+        <span className="label-text">{labelValue(label, hideLabel || !label)}</span>
       </label>
     </div>
   )
diff --git a/selfie-ui/src/app/components/rjsf/CheckboxesWidget/CheckboxesWidget.tsx b/selfie-ui/src/app/components/rjsf/CheckboxesWidget/CheckboxesWidget.tsx
index 58cae84..67bc270 100644
--- a/selfie-ui/src/app/components/rjsf/CheckboxesWidget/CheckboxesWidget.tsx
+++ b/selfie-ui/src/app/components/rjsf/CheckboxesWidget/CheckboxesWidget.tsx
@@ -71,7 +71,7 @@ export default function CheckboxesWidget<
                 type="checkbox"
                 id={optionId(id, index)}
                 name={id}
-                className="form-checkbox border-0 bg-transparent"
+                className="checkbox form-checkbox border-0 bg-transparent"
                 required={required}
                 checked={checked}
                 autoFocus={autofocus && index === 0}
diff --git a/selfie-ui/src/app/components/rjsf/DescriptionField/DescriptionField.tsx b/selfie-ui/src/app/components/rjsf/DescriptionField/DescriptionField.tsx
index 302e6c0..857e732 100644
--- a/selfie-ui/src/app/components/rjsf/DescriptionField/DescriptionField.tsx
+++ b/selfie-ui/src/app/components/rjsf/DescriptionField/DescriptionField.tsx
@@ -13,7 +13,7 @@ export default function DescriptionField<
   if (description) {
     return (
       <div>
-        <div id={id} className="mb-4">
+        <div id={id} className="mb-4 text-md">
           {description}
         </div>
       </div>
diff --git a/selfie-ui/src/app/components/rjsf/FieldTemplate/FieldTemplate.tsx b/selfie-ui/src/app/components/rjsf/FieldTemplate/FieldTemplate.tsx
index 9c792ae..5896e58 100644
--- a/selfie-ui/src/app/components/rjsf/FieldTemplate/FieldTemplate.tsx
+++ b/selfie-ui/src/app/components/rjsf/FieldTemplate/FieldTemplate.tsx
@@ -58,29 +58,28 @@ export default function FieldTemplate<
       uiSchema={uiSchema}
       registry={registry}
     >
-      <div className="mb-4 block">
+      <div className="form-control">
         {displayLabel && (
           <label
             htmlFor={id}
-            className={`mb-2 inline-block ${
-              rawErrors.length > 0 ? "text-red-500" : ""
+            className={`label disable-pt-0 ${
+              rawErrors.length > 0 ? "error" : ""
             }`}
           >
-            {label}
-            {required ? "*" : null}
+            <span className="label-text">{label}{required ? "*" : null}</span>
           </label>
         )}
         {children}
         {displayLabel && rawDescription && (
-          <small className="mt-1 block">
-            <div
-              className={`${
-                rawErrors.length > 0 ? "text-red-500" : "text-muted-foreground"
+          <div className="label text-sm select-text">
+            <span
+              className={`label-text-alt ${
+                rawErrors.length > 0 ? "error" : ""
               }`}
             >
               {description}
-            </div>
-          </small>
+            </span>
+          </div>
         )}
         {errors}
         {help}
diff --git a/selfie-ui/src/app/components/rjsf/IconButton/IconButton.tsx b/selfie-ui/src/app/components/rjsf/IconButton/IconButton.tsx
index f6ac062..c77386c 100644
--- a/selfie-ui/src/app/components/rjsf/IconButton/IconButton.tsx
+++ b/selfie-ui/src/app/components/rjsf/IconButton/IconButton.tsx
@@ -28,14 +28,14 @@ export default function IconButton<
   const variantClass =
     // @ts-expect-error incomplete type from rjsf
     props.variant === "danger"
-      ? "bg-red-500 hover:bg-red-700 text-white"
+      ? "btn-error"
       : disabled
-      ? "bg-gray-100 text-gray-300"
-      : "bg-gray-200 hover:bg-gray-500 text-gray-700"
+      ? "btn-disabled"
+      : ""
 
   return (
     <button
-      className={`grid justify-items-center px-4 py-2 text-base font-normal ${buttonClass} ${variantClass} ${className}`}
+      className={`btn grid justify-items-center px-4 py-2 text-base font-normal ${buttonClass} ${variantClass} ${className}`}
       {...otherProps}
     >
       {icon}
@@ -106,8 +106,7 @@ export function RemoveButton<
     <IconButton
       title={translateString(TranslatableString.RemoveButton)}
       {...props}
-      // @ts-expect-error incomplete props from rjsf
-      variant="danger"
+      className={`btn-error btn-outline ${props?.className}`}
       icon={<IoIosRemove />}
     />
   )
diff --git a/selfie-ui/src/app/components/rjsf/ObjectFieldTemplate/ObjectFieldTemplate.tsx b/selfie-ui/src/app/components/rjsf/ObjectFieldTemplate/ObjectFieldTemplate.tsx
index e19a8be..65c677e 100644
--- a/selfie-ui/src/app/components/rjsf/ObjectFieldTemplate/ObjectFieldTemplate.tsx
+++ b/selfie-ui/src/app/components/rjsf/ObjectFieldTemplate/ObjectFieldTemplate.tsx
@@ -77,13 +77,14 @@ export default function ObjectFieldTemplate<
         ))}
         {canExpand(schema, uiSchema, formData) ? (
           <div className="flex">
-            <div className="ml-auto w-1/4 py-4">
+            <div className="w-full">
               <AddButton
                 onClick={onAddClick(schema)}
                 disabled={disabled || readonly}
-                className="object-property-expand"
+                className="btn-accent object-property-expand"
                 uiSchema={uiSchema}
                 registry={registry}
+                type="button"
               />
             </div>
           </div>
diff --git a/selfie-ui/src/app/components/rjsf/RadioWidget/RadioWidget.tsx b/selfie-ui/src/app/components/rjsf/RadioWidget/RadioWidget.tsx
index 6f010d7..9353b64 100644
--- a/selfie-ui/src/app/components/rjsf/RadioWidget/RadioWidget.tsx
+++ b/selfie-ui/src/app/components/rjsf/RadioWidget/RadioWidget.tsx
@@ -48,9 +48,11 @@ export default function RadioWidget<
           const radio = (
             <label
               key={index}
-              className={`block ${
-                inline ? "mr-3 inline-flex items-center" : ""
-              }`}
+              className={`label
+                flex justify-start gap-2
+                ${inline ? "inline-flex" : ""}
+                ${(disabled || itemDisabled || readonly) ? "" : "cursor-pointer"}
+              `}
             >
               <input
                 id={optionId(id, index)}
@@ -64,9 +66,9 @@ export default function RadioWidget<
                 onBlur={_onBlur}
                 onFocus={_onFocus}
                 aria-describedby={ariaDescribedByIds<T>(id)}
-                className="border-muted-foreground bg-background text-primary focus:ring-2 focus:ring-primary"
+                className="radio"
               />
-              <span className="ml-2">{option.label}</span>
+              <span className="label-text">{option.label}</span>
             </label>
           )
           return radio
diff --git a/selfie-ui/src/app/components/rjsf/SubmitButton/SubmitButton.tsx b/selfie-ui/src/app/components/rjsf/SubmitButton/SubmitButton.tsx
index 95faccb..a283e09 100644
--- a/selfie-ui/src/app/components/rjsf/SubmitButton/SubmitButton.tsx
+++ b/selfie-ui/src/app/components/rjsf/SubmitButton/SubmitButton.tsx
@@ -25,7 +25,7 @@ export default function SubmitButton<
     <div>
       <button
         type="submit"
-        className="bg-primary px-4 py-2 text-base font-normal text-primary-foreground hover:bg-primary/90"
+        className="btn btn-primary btn-lg btn-block"
         {...submitButtonProps}
       >
         {submitText}
diff --git a/selfie-ui/src/app/components/rjsf/WrapIfAdditionalTemplate/WrapIfAdditionalTemplate.tsx b/selfie-ui/src/app/components/rjsf/WrapIfAdditionalTemplate/WrapIfAdditionalTemplate.tsx
index 8e1989f..fd826cc 100644
--- a/selfie-ui/src/app/components/rjsf/WrapIfAdditionalTemplate/WrapIfAdditionalTemplate.tsx
+++ b/selfie-ui/src/app/components/rjsf/WrapIfAdditionalTemplate/WrapIfAdditionalTemplate.tsx
@@ -46,13 +46,13 @@ export default function WrapIfAdditionalTemplate<
   const keyId = `${id}-key`
 
   return (
-    <div className={`flex ${classNames}`} style={style}>
-      <div className="w-1/2 flex-none p-2">
+    <div className={`flex flex-wrap ${classNames}`} style={style}>
+      <div className="flex-1 form-control mr-2">
         <label
           htmlFor={keyId}
-          className="block text-sm font-medium text-muted-foreground"
+          className="label disable-pt-0"
         >
-          {keyLabel}
+          <span className="label-text">{keyLabel}</span>
         </label>
         <input
           required={required}
@@ -62,11 +62,13 @@ export default function WrapIfAdditionalTemplate<
           name={keyId}
           onBlur={!readonly ? handleBlur : undefined}
           type="text"
-          className="mt-1 w-full border p-2 shadow-sm"
+          className={`input input-bordered w-full ${(disabled || readonly) ? "input-disabled" : ""}`}
         />
       </div>
-      <div className="w-1/2 flex-none p-2">{children}</div>
-      <div className="w-1/4 flex-none p-2">
+      <div className="flex-1 min-w-0">
+        {children}
+      </div>
+      <div className="ml-2 self-end">
         <RemoveButton
           iconType="block"
           className="w-full"
diff --git a/selfie-ui/src/app/page.tsx b/selfie-ui/src/app/page.tsx
index 64dae80..918df9f 100644
--- a/selfie-ui/src/app/page.tsx
+++ b/selfie-ui/src/app/page.tsx
@@ -8,11 +8,13 @@ import useAsyncTask from "@/app/hooks/useAsyncTask";
 import TaskToast from "@/app/components/TaskToast";
 import ManageData from "@/app/components/ManageData";
 import { Playground } from "@/app/components/Playground";
+import { Settings } from "@/app/components/Settings";
 
 const pages = [
   { component: Playground, id: 'playground' },
   { component: AddData, id: 'addData' },
   { component: ManageData, id: 'manageData' },
+  { component: Settings, id: 'settings' },
 ];
 
 const App = () => {
diff --git a/selfie/.env.example b/selfie/.env.example
index ef41d0c..44ef7ea 100644
--- a/selfie/.env.example
+++ b/selfie/.env.example
@@ -1,3 +1,3 @@
-PORT=8181
+API_PORT=8181
 NGROK_AUTHTOKEN=<YOUR_NGROK_AUTHTOKEN> # Only needed if running using "share" flag.
 NGROK_DOMAIN=<YOUR_NGROK_DOMAIN> # Optional static domain. You can create one at https://dashboard.ngrok.com/cloud-edge/domains.
diff --git a/selfie/__init__.py b/selfie/__init__.py
index d204c56..500369c 100644
--- a/selfie/__init__.py
+++ b/selfie/__init__.py
@@ -1,27 +1,20 @@
+import os
+
 import selfie.logging
 
 import logging
 import warnings
 import colorlog
 
-### Preemptive fix based on suggestion in https://github.com/BerriAI/litellm/issues/2607
-# import platform
-# import os
-#
-# os_name = platform.system()
-#
-# if os_name == 'Darwin':  # macOS
-#     cache_dir = os.path.expanduser('~/Library/Caches/TikToken')
-# elif os_name == 'Windows':
-#     cache_dir = os.path.join(os.environ['APPDATA'], 'TikToken', 'Cache')
-# else:  # Assume Linux/Unix
-#     cache_dir = os.path.expanduser('~/TikToken/Cache')
-#
-# # LiteLLM writes to a read-only directory in the built application bundle, try to override it
-# # Source: https://github.com/BerriAI/litellm/pull/1947, with the latest code here: https://github.com/BerriAI/litellm/blob/main/litellm/utils.py
-# os.environ['TIKTOKEN_CACHE_DIR'] = cache_dir
-#
-# # Now we can safely import litellm
+from selfie.utils.filesystem import get_nltk_dir, get_tiktoken_dir
+
+# Override the data dir for nltk as LlamaIndex chooses a write-protected directory (https://github.com/run-llama/llama_index/blob/v0.10.26/llama-index-core/llama_index/core/utils.py#L47)
+# https://github.com/nltk/nltk/blob/3.8.1/web/data.rst
+os.environ["NLTK_DATA"] = get_nltk_dir("Selfie")
+os.environ["TIKTOKEN_CACHE_DIR"] = get_tiktoken_dir("Selfie")
+# LiteLLM doesn't (yet?) respect the TIKTOK_CACHE_DIR environment variable
+# Source: https://github.com/BerriAI/litellm/pull/1947, with the latest code here: https://github.com/BerriAI/litellm/blob/main/litellm/utils.py
+# Now we can safely import litellm
 import litellm
 
 # Suppress specific warnings
diff --git a/selfie/__main__.py b/selfie/__main__.py
index 1ce559c..f3b9b33 100644
--- a/selfie/__main__.py
+++ b/selfie/__main__.py
@@ -9,48 +9,61 @@
 import os
 from dotenv import load_dotenv
 
-from selfie.config import create_app_config, default_port, get_app_config
+from selfie.config import create_app_config, default_port
 from selfie.logging import get_log_path
 
 logger = logging.getLogger(__name__)
 logger.setLevel(logging.INFO)
 
 
-def get_default_gpu_mode():
-    os_name = platform.system()
-    architecture = platform.machine()
-
-    if os_name == 'Darwin' and architecture == 'arm64':
-        return True
-
-    return False
-
-
 def serialize_args_to_env(args):
     for arg, value in vars(args).items():
-        env_var = f"SELFIE_{arg.upper()}"
-        os.environ[env_var] = str(value)
+        if value is not None:
+            os.environ[f"SELFIE_{arg.upper()}"] = str(value)
 
 
 def deserialize_args_from_env():
-    return argparse.Namespace(
-        share=os.getenv('SELFIE_SHARE') == 'True',
-        port=int(os.getenv('SELFIE_PORT', default_port)),
-        gpu=os.getenv('SELFIE_GPU') == 'True' if os.getenv('SELFIE_GPU') is not None else get_default_gpu_mode(),
-        reload=os.getenv('SELFIE_RELOAD') == 'True',
-        verbose=os.getenv('SELFIE_VERBOSE') == 'True',
-        headless=os.getenv('SELFIE_HEADLESS') == 'True',
-    )
+    # Common lambda for boolean conversion
+    to_bool = lambda v: v.lower() == 'true'
+
+    # Environment variable mappings with optional defaults
+    env_vars = {
+        'ngrok_enabled': ('SELFIE_NGROK_ENABLED', to_bool),
+        'api_port': ('SELFIE_API_PORT', int),
+        'gpu': ('SELFIE_GPU', to_bool),
+        'reload': ('SELFIE_RELOAD', to_bool),
+        'verbose_logging': ('SELFIE_VERBOSE_LOGGING', to_bool),
+        'headless': ('SELFIE_HEADLESS', to_bool),
+        'model': ('SELFIE_MODEL', str),
+    }
+
+    args = {}
+    for arg, (env_var, convert) in env_vars.items():
+        value = os.getenv(env_var)
+        if value is not None:
+            args[arg] = convert(value)
+
+    class FallbackToNoneNamespace(argparse.Namespace):
+        def __getattr__(self, name):
+            if name in self.__dict__:
+                return self.__dict__[name]
+            return None
+
+    return FallbackToNoneNamespace(**args)
 
 
 def parse_args():
+    # TODO: Update these to sync with the configuration
     parser = argparse.ArgumentParser(description="Run the selfie app.")
-    parser.add_argument("--share", action="store_true", help="Share the API via ngrok")
-    parser.add_argument("--port", type=int, default=int(os.getenv('PORT', default_port)), help="Specify the port to run on")
-    parser.add_argument("--gpu", default=get_default_gpu_mode(), action="store_true", help="Enable GPU support")
-    parser.add_argument("--reload", action="store_true", help="Enable hot-reloading")
-    parser.add_argument("--verbose", action="store_true", help="Enable verbose logging")
-    parser.add_argument("--headless", action="store_true", help="Run in headless mode (no GUI)")
+    # Set all defaults to None, so that we can check if they were set by the user
+    # Defaults will be set in the configuration
+    parser.add_argument("--ngrok_enabled", action="store_true", default=None, help="Share the API via ngrok, requires token to be set")
+    parser.add_argument("--api_port", type=int, default=None, help="Specify the port to run on")
+    parser.add_argument("--gpu", default=None, action="store_true", help="Enable GPU support")
+    parser.add_argument("--reload", action="store_true", default=None, help="Enable hot-reloading")
+    parser.add_argument("--verbose_logging", action="store_true", default=None, help="Enable verbose logging")
+    parser.add_argument("--headless", action="store_true", default=None, help="Run in headless mode (no GUI)")
+    parser.add_argument("--model", type=str, default=None, help="Specify the model to use")
     args = parser.parse_args()
     serialize_args_to_env(args)
     return args
@@ -61,24 +74,26 @@ def get_configured_app(shareable=False):
 
     logger.info(f"Running with args: {args}")
 
-    if args.verbose:
+    if 'verbose_logging' in args and args.verbose_logging:
         logging.getLogger("selfie").setLevel(level=logging.DEBUG)
 
-    ngrok_auth_token = os.environ.get('NGROK_AUTHTOKEN', None)
-    ngrok_domain = os.environ.get('NGROK_DOMAIN', None)
+    logger.info("Creating app configuration")
+    app_config = create_app_config(**vars(args))
 
-    if shareable and args.share:
-        if ngrok_auth_token is None:
-            raise ValueError("NGROK_AUTHTOKEN environment variable is required to share the API. Visit https://dashboard.ngrok.com to get your token.")
+    if app_config.verbose_logging:
+        logging.getLogger("selfie").setLevel(level=logging.DEBUG)
 
-        listener = ngrok.forward(args.port, authtoken_from_env=True, domain=ngrok_domain)
-        logger.info(f"Application is available at {listener.url()}")
-        os.environ['SELFIE_HOST'] = listener.url()
-        del os.environ['SELFIE_PORT']
+    if shareable and app_config.ngrok_enabled:
+        if app_config.ngrok_authtoken is None:
+            raise ValueError("ngrok_authtoken is required to share the API.")
 
-    logger.info("Creating app configuration")
-
-    create_app_config(**vars(args))
+        listener = ngrok.forward(app_config.api_port, authtoken=app_config.ngrok_authtoken, domain=app_config.ngrok_domain)
+        logger.info(f"Application is available at {listener.url()}")
+        # TODO: The idea was that these values could be used elsewhere in the app, but now that these values are synced with the database, this doesn't work. Figure out a way to make this work.
+        # os.environ["SELFIE_HOST"] = listener.url()
+        # del os.environ["SELFIE_API_PORT"] if "SELFIE_API_PORT" in os.environ else None
+    elif app_config.ngrok_enabled:
+        logger.warning("ngrok_enabled is set but ngrok_authtoken is not set. Disabling ngrok.")
 
     # Ensure this import happens after configuration is set
     from selfie.api import app
@@ -88,8 +103,14 @@ def get_configured_app(shareable=False):
 
 def start_fastapi_server():
     args = deserialize_args_from_env()
-    if args.reload:
-        uvicorn.run("selfie.__main__:get_configured_app", host="0.0.0.0", port=args.port, reload=True, factory=True)
+    host = "0.0.0.0"
+    port = args.api_port or default_port
+
+    if not args.headless and args.reload:
+        logger.warning("Reloading is only supported in --headless mode. Disabling reload.")
+
+    if args.headless and args.reload:
+        uvicorn.run("selfie.__main__:get_configured_app", host=host, port=port, factory=True, reload=True)
     else:
         fastapi_app = get_configured_app(shareable=True)
 
@@ -101,6 +122,12 @@ def start_fastapi_server():
             "maxBytes": 1024*1024,
             "backupCount": 5,
             "formatter": "default",
+            "level": "DEBUG",
+        }
+
+        uvicorn_log_config["handlers"]["console"] = {
+            "class": "logging.StreamHandler",
+            "formatter": "default",
         }
 
         uvicorn_log_config["formatters"]["default"] = {
@@ -115,32 +142,30 @@ def start_fastapi_server():
             "use_colors": False,
         }
 
-        uvicorn_log_config["handlers"]["console"] = {
-            "class": "logging.StreamHandler",
-            "formatter": "default",
-        }
+
 
         uvicorn_log_config["loggers"]["uvicorn"] = {
             "handlers": ["selfie", "console"],
-            "level": "INFO",
+            "level": "DEBUG",
             "propagate": False,
         }
 
         uvicorn_log_config["loggers"]["uvicorn.error"] = {
             "handlers": ["selfie", "console"],
-            "level": "INFO",
+            "level": "DEBUG",
             "propagate": False,
         }
 
         uvicorn_log_config["loggers"]["uvicorn.access"] = {
             "handlers": ["selfie", "console"],
-            "level": "INFO",
+            "level": "DEBUG",
             "propagate": False,
             "formatter": "access",
-    }
+        }
+
         # Start Uvicorn with the modified log config
         # TODO: this log_config does not seem to write all uvicorn logs in selfie.log
-        uvicorn.run(fastapi_app, host="0.0.0.0", port=args.port, log_config=uvicorn_log_config)
+        uvicorn.run(fastapi_app, host=host, port=port, log_config=uvicorn_log_config)
 
 
 def main():
diff --git a/selfie/api/__init__.py b/selfie/api/__init__.py
index 5087d16..84fda40 100644
--- a/selfie/api/__init__.py
+++ b/selfie/api/__init__.py
@@ -15,6 +15,7 @@
 from selfie.api.models import router as models_router
 from selfie.api.connectors import router as connectors_router
 from selfie.api.logs import router as logs_router
+from selfie.api.settings import router as settings_router
 from selfie.config import get_app_config
 
 logger = logging.getLogger(__name__)
@@ -95,6 +96,7 @@
 app.include_router(models_router)
 app.include_router(connectors_router)
 app.include_router(logs_router)
+app.include_router(settings_router)
 
 
 class CleanURLMiddleware(BaseHTTPMiddleware):
diff --git a/selfie/api/documents.py b/selfie/api/documents.py
index ada7819..668c8d3 100644
--- a/selfie/api/documents.py
+++ b/selfie/api/documents.py
@@ -4,6 +4,7 @@
 from fastapi import APIRouter, Query
 from pydantic import BaseModel, Field
 
+from selfie.database.service import remove_documents, remove_document
 from selfie.embeddings import ScoredEmbeddingDocumentModel
 from selfie.database import DataManager
 from selfie.embeddings import DataIndex
@@ -59,7 +60,7 @@ async def get_documents() -> List[FetchedDocument]:
                description="Remove multiple documents by their IDs.",
                status_code=204)
 async def delete_documents(request: DeleteDocumentsRequest):
-    await DataManager().remove_documents([int(document_id) for document_id in request.document_ids])
+    await remove_documents(DataManager(), [int(document_id) for document_id in request.document_ids])
 
 
 @router.delete("/documents/{document_id}",
@@ -67,7 +68,7 @@ async def delete_documents(request: DeleteDocumentsRequest):
                description="Remove a document by its ID.",
                status_code=204)
 async def delete_document(document_id: int, delete_indexed_data: Optional[bool] = True):
-    await DataManager().remove_document(document_id, delete_indexed_data)
+    await remove_document(DataManager(), document_id, delete_indexed_data)
 
 
 class SearchDocumentsResponse(BaseModel):
diff --git a/selfie/api/models.py b/selfie/api/models.py
index 3b2cabe..e88ff66 100644
--- a/selfie/api/models.py
+++ b/selfie/api/models.py
@@ -40,24 +40,30 @@ class ModelsResponse(BaseModel):
 async def get_models() -> ModelsResponse:
     hf_cache_info = scan_cache_dir()
     models = []
+    seen = set()
 
     for repo in hf_cache_info.repos:
         for revision in repo.revisions:
             gguf_files = [file for file in revision.files if file.file_name.endswith('.gguf')]
             if gguf_files:
                 for gguf_file in gguf_files:
+                    model_id = f"{repo.repo_id}/{gguf_file.file_name}"
+                    if model_id not in seen:
+                        models.append(Model(
+                            id=model_id,
+                            object="model",
+                            created=gguf_file.blob_last_modified,
+                            owned_by="user"
+                        ))
+                        seen.add(model_id)
+            else:
+                if repo.repo_id not in seen:
                     models.append(Model(
-                        id=f"{repo.repo_id}/{gguf_file.file_name}",
+                        id=repo.repo_id,
                         object="model",
-                        created=gguf_file.blob_last_modified,
+                        created=min(revision.last_modified for revision in repo.revisions),
                         owned_by="user"
                     ))
-            else:
-                models.append(Model(
-                    id=repo.repo_id,
-                    object="model",
-                    created=min(file.last_modified for file in repo.revisions),
-                    owned_by="user"
-                ))
+                    seen.add(repo.repo_id)
 
     return ModelsResponse(object="list", data=models)
diff --git a/selfie/api/settings.py b/selfie/api/settings.py
new file mode 100644
index 0000000..feab670
--- /dev/null
+++ b/selfie/api/settings.py
@@ -0,0 +1,39 @@
+from typing import Optional
+
+from fastapi import APIRouter
+from pydantic import BaseModel, Extra
+
+from selfie.config import AppConfig
+from selfie.database import DataManager
+
+router = APIRouter(tags=["Configuration"])
+
+
+class Settings(BaseModel):
+    method: Optional[str] = None
+    model: Optional[str] = None
+    environment_variables: Optional[dict] = None
+    gpu: Optional[bool] = None
+
+    class Config:
+        extra = Extra.allow
+
+
+@router.put("/settings",
+            tags=["Configuration"],
+            description="Update the settings of the Selfie instance.",
+            status_code=204)
+async def update_settings(request: Settings):
+    settings_dict = request.dict(exclude_unset=True, exclude_none=True)
+    manager = DataManager()
+    manager.save_settings(settings_dict, delete_others=True)
+    AppConfig.reload()
+
+
+@router.get("/settings",
+            tags=["Configuration"],
+            description="Get the settings of the Selfie instance.")
+async def get_settings():
+    manager = DataManager()
+    settings_dict = manager.get_settings()
+    return Settings(**settings_dict)
diff --git a/selfie/config.ini.example b/selfie/config.ini.example
new file mode 100644
index 0000000..060fd90
--- /dev/null
+++ b/selfie/config.ini.example
@@ -0,0 +1,7 @@
+; Can be used to override the default configuration
+[database]
+storage_root = ~/.Selfie/data/database
+db_name = selfie.db
+
+[embeddings]
+storage_root = ~/.Selfie/data/embeddings
diff --git a/selfie/config.py b/selfie/config.py
index dff5ee2..081bbba 100644
--- a/selfie/config.py
+++ b/selfie/config.py
@@ -1,65 +1,160 @@
+from os import environ
 import os
 import platform
 from typing import Optional
 
-from pydantic import BaseModel, Field, ValidationError, Extra
+from pydantic import BaseModel, Field, Extra
 import logging
 
-from selfie.utils.filesystem import get_data_dir
-
 logger = logging.getLogger(__name__)
 
-default_port = 8181
+default_port = int(os.getenv('API_PORT', 8181))  # TODO: Not sure if this is persisted across processes, etc.
+
+_singleton_instance = None
+
+default_method = 'llama.cpp'
+default_local_model = 'TheBloke/Mistral-7B-Instruct-v0.2-GGUF/mistral-7b-instruct-v0.2.Q4_K_M.gguf'
+default_hosted_model = 'openai/gpt-3.5-turbo'
+default_local_gpu_model = 'TheBloke/Mistral-7B-OpenOrca-GPTQ'
+
+ensure_set_in_db = ['gpu', 'method', 'model', 'verbose_logging']
+
+
+# TODO: This is not accurate, e.g. if the user starts the app with --gpu
+def get_default_gpu_mode():
+    os_name = platform.system()
+    architecture = platform.machine()
 
+    if os_name == 'Darwin' and architecture == 'arm64':
+        return True
 
-data_root = get_data_dir('Selfie')
+    return False
 
 
 class AppConfig(BaseModel):
     host: str = Field(default="http://localhost", description="Specify the host, with the scheme")
-    port: Optional[int] = Field(default=default_port, description="Specify the port to run on")
+    api_port: Optional[int] = Field(default=default_port, description="Specify the port to run on")
     share: bool = Field(default=False, description="Enable sharing via ngrok")
-    gpu: bool = Field(default=False, description="Enable GPU support")
-    verbose: bool = Field(default=False, description="Enable verbose logging")
-    database_storage_root: str = Field(default=os.path.join(data_root, "database"), description="Root directory for database storage")
-    embeddings_storage_root: str = Field(default=os.path.join(data_root, "embeddings"), description="Root directory for embeddings storage")
+    gpu: bool = Field(default=get_default_gpu_mode(), description="Enable GPU support")
+    verbose_logging: bool = Field(default=False, description="Enable verbose logging")
     db_name: str = Field(default='selfie.db', description="Database name")
-    # local_model: str = Field(default='TheBloke/Mixtral-8x7B-Instruct-v0.1-GGUF/mixtral-8x7b-instruct-v0.1.Q4_K_M.gguf', description="Local model")
-    local_model: str = Field(default='TheBloke/Mistral-7B-Instruct-v0.2-GGUF/mistral-7b-instruct-v0.2.Q4_K_M.gguf', description="Local model")
-    local_gpu_model: str = Field(default='TheBloke/Mistral-7B-OpenOrca-GPTQ', description="Local GPU model")
+    method: str = Field(default=default_method, description="LLM provider method, llama.cpp or litellm")
+    model: str = Field(default=default_local_model, description="Local model")
+    api_base: Optional[str] = Field(default=None, description="Specify an optional litellm API base URL")
     local_functionary_model: str = Field(default="meetkai/functionary-7b-v2-GGUF/functionary-7b-v2.q4_0.gguf", description="Local functionary model")
-    hosted_model: str = Field(default="openai/gpt-3.5-turbo", description="Hosted model")
     embedding_chunk_size: int = Field(default=512, description="Embedding chunk size")
     embedding_chunk_overlap: int = Field(default=50, description="Embedding chunk overlap")
+    environment_variables: dict = Field(default={}, description="Environment variables to load, used by e.g. litellm")
+    ngrok_enabled: bool = Field(default=False, description="Enable ngrok")
+    ngrok_authtoken: Optional[str] = Field(default=None, description="ngrok authentication token")
+    ngrok_domain: Optional[str] = Field(default=None, description="ngrok domain")
+
+    _runtime_overrides: dict = {}
 
     @property
     def base_url(self):
-        if self.port:
-            return f"{self.host}:{self.port}"
+        if self.api_port:
+            return f"{self.host}:{self.api_port}"
         else:
             return self.host
 
     class Config:
         extra = Extra.allow
 
+    def __setattr__(self, name, value):
+        super().__setattr__(name, value)
+        if name == "environment_variables":
+            self.load_environment_variables()
 
-_singleton_instance = None
+    def load_environment_variables(self):
+        for key, value in self.environment_variables.items():
+            environ[key] = str(value)
+        logger.info("Environment variables loaded or updated.")
+
+    @classmethod
+    def reload(cls):
+        global _singleton_instance
+        if _singleton_instance is None:
+            raise ValueError("AppConfig instance not created yet.")
+
+        # Capture current environment variables before update
+        current_env_vars = set(_singleton_instance.environment_variables.keys())
+
+        # Load new configuration values, e.g., from a database or another source
+        db_config = AppConfig(**load_config_from_database())
+
+        # Merge configurations: default < database < CLI options
+        config_dict = cls().dict()
+        config_dict.update(db_config.dict(exclude_unset=True))
+        config_dict.update(_singleton_instance._runtime_overrides)
+
+        # Determine environment variables that are going away
+        new_env_vars = set(config_dict.get("environment_variables", {}).keys())
+        vars_to_remove = current_env_vars - new_env_vars
+
+        # Remove environment variables that are no longer present
+        for var in vars_to_remove:
+            if var in os.environ:
+                del os.environ[var]
+                logger.info(f"Removed environment variable: {var}")
+
+        # Instead of creating a new instance, update the existing one
+        logger.info(f"Reloading AppConfig with: {config_dict}")
+        for key, value in config_dict.items():
+            setattr(_singleton_instance, key, value)
+
+        # Load (or reload) the environment variables based on the new configuration
+        _singleton_instance.load_environment_variables()
+
+        return _singleton_instance
 
 
 def create_app_config(**kwargs):
+    default_config = AppConfig()
+    db_config = load_config_from_database()
+    loaded_db_config = AppConfig(**db_config)
+
+    # Merge configurations: default < database
+    config_dict = default_config.dict()
+    config_dict.update(loaded_db_config.dict(exclude_unset=True))
+
+    # Update the merged configuration with explicitly provided CLI options
+    runtime_overrides = {}
+    for key, value in kwargs.items():
+        if value is not None:
+            config_dict[key] = value
+            runtime_overrides[key] = value
+
+    for field in ensure_set_in_db:
+        updates = {}
+        if field not in db_config or db_config[field] is None:
+            logger.info(f"No saved setting for {field}, saving {config_dict[field]}")
+            updates[field] = config_dict[field]
+        if updates:
+            update_config_in_database(updates)
+
     global _singleton_instance
-    try:
-        logger.debug("Creating AppConfig instance")
-        _singleton_instance = AppConfig(**kwargs)
-        return _singleton_instance
-    except ValidationError as e:
-        logger.error("Configuration validation error:", e.json())
-        raise ValueError("Invalid configuration provided.") from e
+    logger.info(f"Creating AppConfig with: {config_dict}")
+    _singleton_instance = AppConfig(**config_dict)
+    _singleton_instance._runtime_overrides = runtime_overrides
+
+    _singleton_instance.load_environment_variables()
+    return _singleton_instance
+
+
+def load_config_from_database():
+    from selfie.database import DataManager
+    return DataManager().get_settings()
+
+
+def update_config_in_database(settings, delete_others=False):
+    from selfie.database import DataManager
+    DataManager().save_settings(settings, delete_others=delete_others)
 
 
 def get_app_config():
     global _singleton_instance
     if _singleton_instance is None:
-        logger.error("AppConfig instance not created yet.")
         raise ValueError("AppConfig instance not created yet.")
     return _singleton_instance
+
diff --git a/selfie/config_ini.py b/selfie/config_ini.py
new file mode 100644
index 0000000..8a4b675
--- /dev/null
+++ b/selfie/config_ini.py
@@ -0,0 +1,23 @@
+import os
+import configparser
+from selfie.utils.filesystem import get_data_path
+
+
+def load_config():
+    config = configparser.ConfigParser()
+
+    # Set default values
+    config['database'] = {
+        'storage_root': get_data_path('Selfie', 'database'),
+        'db_name': 'selfie.db',
+    }
+    config['embeddings'] = {
+        'storage_root': get_data_path('Selfie', 'embeddings'),
+    }
+
+    # Read the config file if it exists
+    config_path = os.path.join(os.path.dirname(__file__), 'config.ini')
+    if os.path.exists(config_path):
+        config.read(config_path)
+
+    return config
diff --git a/selfie/connectors/text_files/connector.py b/selfie/connectors/text_files/connector.py
index ed1628b..9e21eb9 100644
--- a/selfie/connectors/text_files/connector.py
+++ b/selfie/connectors/text_files/connector.py
@@ -7,7 +7,7 @@
 from llama_index.core.node_parser import SentenceSplitter
 
 from selfie.connectors.base_connector import BaseConnector
-from selfie.database import BaseModel, DataManager
+from selfie.database import BaseModel
 from selfie.embeddings import EmbeddingDocumentModel
 from selfie.types.documents import DocumentDTO
 from selfie.utils.data_structures import data_uri_to_dict
@@ -47,7 +47,7 @@ def transform_for_embedding(self, configuration: dict[str, Any], documents: List
             EmbeddingDocumentModel(
                 text=text_chunk,
                 source="text_files",
-                timestamp=DataManager._extract_timestamp(document),
+                timestamp=document.extract_timestamp(),
                 source_document_id=document.id,
             )
             for document in documents
diff --git a/selfie/database/__init__.py b/selfie/database/__init__.py
index feab650..ea10ad6 100644
--- a/selfie/database/__init__.py
+++ b/selfie/database/__init__.py
@@ -1,11 +1,13 @@
-import importlib
+# TODO: This is an *incomplete* migration of functionality to service.py.
+# This should not contain any database operations, only initialization. All
+# operations should be contained in the service.
+
 import json
 import logging
 import os
 from datetime import datetime
-from typing import List, Dict, Any, Callable
+from typing import Dict, Any
 
-from llama_index.core.node_parser import SentenceSplitter
 from peewee import (
     Model,
     SqliteDatabase,
@@ -19,17 +21,17 @@
 )
 from playhouse.shortcuts import model_to_dict
 
-from selfie.config import get_app_config
-from selfie.embeddings import DataIndex
-from selfie.embeddings.document_types import EmbeddingDocumentModel
-# TODO: This module should not be aware of DocumentDTO. Refactor its usage out of this module.
-from selfie.types.documents import DocumentDTO
+from selfie.config_ini import load_config
+from selfie.utils.filesystem import resolve_path
 
 logger = logging.getLogger(__name__)
 
 database_proxy = Proxy()
 
-config = get_app_config()
+config = load_config()
+
+storage_root = resolve_path(config.get('database', 'storage_root'))
+db_name = config.get('database', 'db_name')
 
 
 class BaseModel(Model):
@@ -95,13 +97,13 @@ class Meta:
 
 
 class DataManager:
-    def __init__(self, storage_path: str = config.database_storage_root):
+    def __init__(self, storage_path: str = storage_root):
         os.makedirs(storage_path, exist_ok=True)
 
-        self.db = SqliteDatabase(os.path.join(storage_path, config.db_name))
+        self.db = SqliteDatabase(os.path.join(storage_path, db_name))
         database_proxy.initialize(self.db)
         self.db.connect()
-        self.db.create_tables([DocumentConnectionModel, DocumentModel])
+        self.db.create_tables([DocumentConnectionModel, DocumentModel, SettingsModel])
 
     def add_document_connection(
             self,
@@ -116,79 +118,6 @@ def add_document_connection(
     # def remove_data_source(self, source_id: int):
     #     DataSource.get_by_id(source_id).delete_instance()
 
-    async def remove_documents(self, document_ids: List[int], delete_indexed_data: bool = True):
-        if delete_indexed_data:
-            await DataIndex("n/a").delete_documents_with_source_documents(document_ids)
-
-        try:
-            with self.db.atomic():
-                DocumentModel.delete().where(DocumentModel.id.in_(document_ids)).execute()
-        except Exception as e:
-            logger.error(f"Error removing documents, but indexed data was removed: {e}")
-            raise e
-
-    async def remove_document(self, document_id: int, delete_indexed_data: bool = True):
-        return await self.remove_documents([document_id], delete_indexed_data)
-
-    async def remove_document_connection(self, document_connection_id: int, delete_documents: bool = True,
-                                         delete_indexed_data: bool = True):
-        if self.get_document_connection(document_connection_id) is None:
-            raise ValueError(f"No document connection found with ID {document_connection_id}")
-
-        if delete_indexed_data:
-            source_document_ids = [doc.id for doc in DocumentModel.select().where(
-                DocumentModel.document_connection == document_connection_id)]
-            await DataIndex("n/a").delete_documents_with_source_documents(source_document_ids)
-
-        with self.db.atomic():
-            if delete_documents:
-                DocumentModel.delete().where(DocumentModel.document_connection == document_connection_id).execute()
-
-            DocumentConnectionModel.delete().where(DocumentConnectionModel.id == document_connection_id).execute()
-
-    def scan_document_connections(self, connection_ids: List[int]) -> Dict[str, Any]:
-        changes = {}
-        for connection_id in connection_ids:
-            document_connection = DocumentConnectionModel.get_by_id(connection_id)
-
-            connection_config = json.loads(document_connection.configuration)
-            if connection_config["loader_name"].startswith("selfie"):
-                # TODO: last_loaded_timestamp is not currently defined
-                connection_config["load_data_kwargs"]["earliest_date"] = document_connection.last_loaded_timestamp
-
-            documents = self._fetch_documents(connection_config)
-            for doc in documents:
-                document, created = DocumentModel.get_or_create(
-                    document_connection=document_connection,
-                    content=doc.content,  # TODO: This, if doc.content_type matches text, otherwise key should be object
-                    defaults={
-                        "content_type": doc.content_type,
-                        "name": doc.name,
-                        "size": doc.size,
-                    },
-                )
-                changes[document.id] = "Created" if created else "Updated"
-        return changes
-
-    def _fetch_documents(self, configuration: Dict[str, Any]) -> List[DocumentDTO]:
-        # TODO: Replace this with DocumentConnector implementation. Maybe it shouldn't return Peewee models directly.
-        module_name, class_name = configuration["loader_name"].rsplit(".", 1)
-        module = importlib.import_module(module_name)
-        loader_class = getattr(module, class_name)
-        loader = loader_class(
-            *configuration["constructor_args"], **configuration["constructor_kwargs"]
-        )
-        loader_docs = loader.load_data(*configuration["load_data_args"], **configuration["load_data_kwargs"])
-        return [
-            DocumentDTO(
-                content=doc.text,
-                content_type="text",
-                name="N/A",
-                size=0
-            )
-            for doc in loader_docs
-        ]
-
     def _get_unique_key(self, doc, unique_key_path: str):
         keys = unique_key_path.split(".")
         value = doc
@@ -199,57 +128,6 @@ def _get_unique_key(self, doc, unique_key_path: str):
                 value = getattr(value, key, None)
         return value
 
-    async def index_documents(self, document_connection: DocumentConnectionModel):
-        print("Indexing documents")
-
-        self.scan_document_connections([document_connection.id])
-
-        documents = self._fetch_documents(json.loads(document_connection.configuration))
-        documents = [
-            document for doc in documents for document in
-            self._map_selfie_documents_to_index_documents(selfie_document=doc)
-        ]
-
-        await DataIndex("n/a").index(documents, extract_importance=False)
-
-        # TODO: record the last time this data source was indexed
-
-        return {"message": f"{len(documents)} documents indexed successfully"}
-
-    async def index_document(self, document: DocumentDTO, selfie_documents_to_index_documents: Callable[
-        [DocumentDTO], List[EmbeddingDocumentModel]] = None):
-        print("Indexing document")
-
-        if selfie_documents_to_index_documents is None:
-            selfie_documents_to_index_documents = self._map_selfie_documents_to_index_documents
-
-        index_documents = selfie_documents_to_index_documents(document)
-        if not index_documents:
-            logger.warning("No documents to index")
-            return {"message": "No documents to index"}
-
-        return await DataIndex("n/a").index(index_documents, extract_importance=False)
-
-    @staticmethod
-    def _map_selfie_documents_to_index_documents(selfie_document: DocumentDTO):
-        return [
-            EmbeddingDocumentModel(
-                text=text_chunk,
-                # source=selfie_document.document_connection.connector_name,
-                source="Unknown",
-                timestamp=DataManager._extract_timestamp(selfie_document),
-                source_document_id=selfie_document.id,
-            )
-            for text_chunk in SentenceSplitter(
-                chunk_size=config.embedding_chunks_size,
-                chunk_overlap=config.embedding_chunk_overlap
-           ).split_text(selfie_document.content)
-        ]
-
-    @staticmethod
-    def _extract_timestamp(doc):
-        return doc.created_at if doc.created_at else datetime.now()
-
     @staticmethod
     def get_document_connection(document_connection_id: int):
         return DocumentConnectionModel.get_by_id(document_connection_id)
@@ -286,6 +164,30 @@ def get_documents(self):
     def get_document(self, document_id: str):
         return DocumentModel.get_by_id(document_id)
 
+    def save_settings(self, settings: Dict[str, Any], delete_others: bool = False):
+        logger.info(f"Saving settings: {settings}")
+        with self.db.atomic():
+            if delete_others:
+                SettingsModel.delete().execute()
+            for key, value in settings.items():
+                if isinstance(value, dict):
+                    for nested_key, nested_value in value.items():
+                        SettingsModel.replace(key=f"{key}.{nested_key}", value=json.dumps(nested_value)).execute()
+                else:
+                    SettingsModel.replace(key=key, value=json.dumps(value)).execute()
+
+    def get_settings(self) -> Dict[str, Any]:
+        settings = {}
+        for setting in SettingsModel.select():
+            keys = setting.key.split(".")
+            value = json.loads(setting.value)
+            if len(keys) == 1:
+                settings[keys[0]] = value
+            else:
+                nested_dict = settings.setdefault(keys[0], {})
+                nested_dict[keys[1]] = value
+        return settings
+
 
 if __name__ == "__main__":
     manager = DataManager()
diff --git a/selfie/database/service.py b/selfie/database/service.py
new file mode 100644
index 0000000..f49924b
--- /dev/null
+++ b/selfie/database/service.py
@@ -0,0 +1,127 @@
+# TODO: This is an *incomplete* migration of functionality from __init__.py,
+# which should not contain any database operations, only initialization. All
+# operations should be contained in this service (maybe in a class).
+
+import importlib
+import json
+from typing import Callable, List, Dict, Any
+import logging
+
+from selfie.embeddings import EmbeddingDocumentModel
+from selfie.database import DocumentModel, DocumentConnectionModel
+from selfie.embeddings import DataIndex
+from selfie.types.documents import DocumentDTO
+
+logger = logging.getLogger(__name__)
+
+
+async def remove_document_connection(data_manager, document_connection_id: int, delete_documents: bool = True,
+                                     delete_indexed_data: bool = True):
+    if data_manager.get_document_connection(document_connection_id) is None:
+        raise ValueError(f"No document connection found with ID {document_connection_id}")
+
+    if delete_indexed_data:
+        source_document_ids = [doc.id for doc in DocumentModel.select().where(
+            DocumentModel.document_connection == document_connection_id)]
+        await DataIndex("n/a").delete_documents_with_source_documents(source_document_ids)
+
+    with data_manager.db.atomic():
+        if delete_documents:
+            DocumentModel.delete().where(DocumentModel.document_connection == document_connection_id).execute()
+
+        DocumentConnectionModel.delete().where(DocumentConnectionModel.id == document_connection_id).execute()
+
+
+async def index_documents(data_manager, document_connection: DocumentConnectionModel):
+    print("Indexing documents")
+
+    scan_document_connections(data_manager, [document_connection.id])
+
+    documents = fetch_documents(data_manager, json.loads(document_connection.configuration))
+    documents = [
+        document for doc in documents for document in
+        doc.map_to_index_documents()
+    ]
+
+    await DataIndex("n/a").index(documents, extract_importance=False)
+
+    # TODO: record the last time this data source was indexed
+
+    return {"message": f"{len(documents)} documents indexed successfully"}
+
+
+async def index_document(data_manager, document: DocumentDTO, selfie_documents_to_index_documents: Callable[
+    [DocumentDTO], List[EmbeddingDocumentModel]] = None):
+    print("Indexing document")
+
+    if selfie_documents_to_index_documents is None:
+        index_documents = document.map_to_index_documents()
+    else:
+        index_documents = selfie_documents_to_index_documents(document)
+
+    if not index_documents:
+        logger.warning("No documents to index")
+        return {"message": "No documents to index"}
+
+    return await DataIndex("n/a").index(index_documents, extract_importance=False)
+
+
+async def remove_documents(data_manager, document_ids: List[int], delete_indexed_data: bool = True):
+    if delete_indexed_data:
+        await DataIndex("n/a").delete_documents_with_source_documents(document_ids)
+
+    try:
+        with data_manager.db.atomic():
+            DocumentModel.delete().where(DocumentModel.id.in_(document_ids)).execute()
+    except Exception as e:
+        logger.error(f"Error removing documents, but indexed data was removed: {e}")
+        raise e
+
+
+async def remove_document(data_manager, document_id: int, delete_indexed_data: bool = True):
+    return await remove_documents(data_manager, [document_id], delete_indexed_data)
+
+
+def fetch_documents(data_manager, configuration: Dict[str, Any]) -> List[DocumentDTO]:
+    # TODO: Replace this with DocumentConnector implementation. Maybe it shouldn't return Peewee models directly.
+    module_name, class_name = configuration["loader_name"].rsplit(".", 1)
+    module = importlib.import_module(module_name)
+    loader_class = getattr(module, class_name)
+    loader = loader_class(
+        *configuration["constructor_args"], **configuration["constructor_kwargs"]
+    )
+    loader_docs = loader.load_data(*configuration["load_data_args"], **configuration["load_data_kwargs"])
+    return [
+        DocumentDTO(
+            content=doc.text,
+            content_type="text",
+            name="N/A",
+            size=0
+        )
+        for doc in loader_docs
+    ]
+
+
+def scan_document_connections(data_manager, connection_ids: List[int]) -> Dict[str, Any]:
+    changes = {}
+    for connection_id in connection_ids:
+        document_connection = DocumentConnectionModel.get_by_id(connection_id)
+
+        connection_config = json.loads(document_connection.configuration)
+        if connection_config["loader_name"].startswith("selfie"):
+            # TODO: last_loaded_timestamp is not currently defined
+            connection_config["load_data_kwargs"]["earliest_date"] = document_connection.last_loaded_timestamp
+
+        documents = fetch_documents(data_manager, connection_config)
+        for doc in documents:
+            document, created = DocumentModel.get_or_create(
+                document_connection=document_connection,
+                content=doc.content,  # TODO: This, if doc.content_type matches text, otherwise key should be object
+                defaults={
+                    "content_type": doc.content_type,
+                    "name": doc.name,
+                    "size": doc.size,
+                },
+            )
+            changes[document.id] = "Created" if created else "Updated"
+    return changes
diff --git a/selfie/embeddings/__init__.py b/selfie/embeddings/__init__.py
index 6e0e8ce..23388c9 100644
--- a/selfie/embeddings/__init__.py
+++ b/selfie/embeddings/__init__.py
@@ -11,6 +11,7 @@
 import tiktoken
 from llama_index.core.node_parser import SentenceSplitter
 
+from selfie.config_ini import load_config
 from selfie.config import get_app_config
 from selfie.data_generators.chat_training_data import (
     ChatTrainingDataGenerator,
@@ -20,32 +21,17 @@
 from selfie.embeddings.importance_scorer import ImportanceScorer
 from selfie.embeddings.recency_scorer import RecencyScorer
 from selfie.embeddings.relevance_scorer import RelevanceScorer
+from selfie.utils.filesystem import resolve_path
 from txtai.embeddings import Embeddings
 
-from txtai.pipeline import LLM
 
 logger = logging.getLogger(__name__)
 
 default_importance = 0.3
-
+storage_root = resolve_path(load_config().get('embeddings', 'storage_root'))
 config = get_app_config()
 
 
-def get_default_completion():
-    llm = LLM(
-        verbose=config.verbose,
-        path=config.local_model,
-        method="llama.cpp",
-        n_ctx=8192,
-        n_gpu_layers=-1 if config.gpu else 0,
-    )
-
-    async def completion(prompt):
-        return llm(prompt)
-
-    return completion
-
-
 # TODO: Probably a minor issue, so hard-coding the tokenizer for now:
 # 1. The default tokenizer should probably be based on the user's default/configured model
 # 2. If the user changes their default model, already-indexed documents could be larger than max_embedding_size_tokens
@@ -65,14 +51,14 @@ def __new__(cls, *args, **kwargs):
             cls._singleton = super(DataIndex, cls).__new__(cls)
         return cls._singleton
 
-    def __init__(self, character_name, storage_path: str = config.embeddings_storage_root, use_local_llm=True, completion=None):
+    def __init__(self, character_name, storage_path: str = storage_root, use_local_llm=True, completion=None):
         if not hasattr(self, 'is_initialized'):
             logger.info("Initializing DataIndex")
             self.storage_path = os.path.join(storage_path, "index")
             logger.info(f"Storage path: {self.storage_path}")
             os.makedirs(storage_path, exist_ok=True)
 
-            self.completion = completion or get_default_completion()
+            self.completion = completion
             self.character_name = character_name
             self.embeddings = Embeddings(
                 hybrid=True,
@@ -260,7 +246,8 @@ async def _summarize_documents(
 
         # TODO: truncate the prompt to fit the context window
         if model == "local":
-            return await self.completion(prompt)
+            from selfie.text_generation.default_completion import default_completion
+            return await (self.completion or default_completion)(prompt)
         else:
             from litellm import completion
 
diff --git a/selfie/embeddings/importance_scorer.py b/selfie/embeddings/importance_scorer.py
index 439917d..961cd15 100644
--- a/selfie/embeddings/importance_scorer.py
+++ b/selfie/embeddings/importance_scorer.py
@@ -45,7 +45,7 @@ def calculate_raw_score(self, document: EmbeddingDocumentModel):
 
                 llm = LLM(
                     config.local_functionary_model,
-                    verbose=config.verbose,
+                    verbose=config.verbose_logging,
                     n_gpu_layers=-1 if config.gpu else 0,
                     method="llama.cpp",
                     chat_format="functionary",
diff --git a/selfie/gui.py b/selfie/gui.py
index 66f9cde..856153a 100644
--- a/selfie/gui.py
+++ b/selfie/gui.py
@@ -1,4 +1,5 @@
 import selfie.logging
+from selfie.config import get_default_gpu_mode
 
 from selfie.logging import get_log_path
 
@@ -14,7 +15,6 @@
 from PyQt6.QtGui import QIcon, QFont
 from PyQt6.QtCore import pyqtSignal, pyqtSlot, QTimer
 
-from selfie.__main__ import get_default_gpu_mode
 
 logger = logging.getLogger(__name__)
 
@@ -76,12 +76,12 @@ def __init__(self, argv):
 
         menu.addSeparator()
 
-        exit_action = menu.addAction("Exit")
-        exit_action.triggered.connect(self.quit)
-
         self.show_log_action = menu.addAction("Show Logs")
         self.show_log_action.triggered.connect(self.show_log_window)
 
+        self.exit_action = menu.addAction("Exit")
+        self.exit_action.triggered.connect(self.quit)
+
         menu.addSeparator()
 
         self.gpu_mode_action = menu.addAction("GPU Mode Unknown")
@@ -96,8 +96,12 @@ def __init__(self, argv):
         self.server_ready_signal.connect(self.post_server_start)
         self.server_stopped_signal.connect(self.post_server_stop)
 
+        self.start_service()
+
     def show_log_window(self):
         self.log_widget.show()
+        self.log_widget.raise_()
+        self.log_widget.activateWindow()
 
     def update_gpu_mode_status(self):
         # TODO: Fix this hack
@@ -108,7 +112,8 @@ def update_gpu_mode_status(self):
 
         status_text = "GPU Mode Enabled" if gpu_mode_enabled else "GPU Mode Disabled" if gpu_mode_enabled is False else "GPU Mode Unknown"
         self.gpu_mode_action.setText(status_text)
-        self.gpu_mode_action.setVisible(True)
+        # TODO: Enable this when it's possible to correctly detect the GPU mode
+        # self.gpu_mode_action.setVisible(True)
 
     def update_service_icon(self, state):
         icon_paths = {
diff --git a/selfie/logging.py b/selfie/logging.py
index c166a14..a231fec 100644
--- a/selfie/logging.py
+++ b/selfie/logging.py
@@ -19,11 +19,10 @@ def setup_logging():
     logger.setLevel(level)
 
     file_handler = RotatingFileHandler(log_path, maxBytes=1024*1024, backupCount=5)
-    file_handler.setLevel(level)
+    file_handler.setLevel(logging.DEBUG)
     formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
     file_handler.setFormatter(formatter)
 
     logger.addHandler(file_handler)
 
-
 setup_logging()
diff --git a/selfie/text_generation/default_completion.py b/selfie/text_generation/default_completion.py
new file mode 100644
index 0000000..ecd27bb
--- /dev/null
+++ b/selfie/text_generation/default_completion.py
@@ -0,0 +1,17 @@
+from selfie.text_generation import completion
+from selfie.types.completion_requests import CompletionRequest
+
+
+async def default_completion(prompt):
+    result = await completion(CompletionRequest(
+        disable_augmentation=True,
+        prompt=prompt,
+        max_tokens=4096,
+    ))
+
+    # TODO: Responses should be consistent
+    # Check if 'message' key exists and return the appropriate content
+    if 'message' in result["choices"][0]:
+        return result["choices"][0]["message"]["content"]
+    else:
+        return result["choices"][0]["text"]
diff --git a/selfie/text_generation/generation.py b/selfie/text_generation/generation.py
index 4cfc00d..c74bc9b 100644
--- a/selfie/text_generation/generation.py
+++ b/selfie/text_generation/generation.py
@@ -1,3 +1,5 @@
+from functools import lru_cache
+
 import logging
 import json
 import os
@@ -7,7 +9,7 @@
 from sse_starlette import EventSourceResponse
 from txtai.pipeline import GenerationFactory, LLM
 
-from selfie.config import get_app_config
+from selfie.config import get_app_config, default_hosted_model, default_local_model, default_method
 from selfie.types.completion_requests import SelfieCompletionResponse, CompletionRequest, ChatCompletionRequest
 
 logger = logging.getLogger(__name__)
@@ -15,6 +17,20 @@
 config = get_app_config()
 
 
+@lru_cache(maxsize=1)
+def get_llama_cpp_llm(model, verbose, gpu):
+    logger.info(f"Creating new llama.cpp model instance with model {model}")
+    return LLM(
+        verbose=verbose,
+        path=model,
+        method="llama.cpp",
+        n_ctx=8192,
+        n_gpu_layers=-1 if gpu else 0,
+        # Special-case models whose embedded prompt templates do not work well
+        **({'chat_format': "mistrallite"} if "mistral" in model or "mixtral" in model else {})
+    ).generator.llm
+
+
 async def completion(request: CompletionRequest | ChatCompletionRequest) -> SelfieCompletionResponse:
     logger.debug(f"Handling a completion request: {request}")
 
@@ -23,36 +39,24 @@ async def completion(request: CompletionRequest | ChatCompletionRequest) -> Self
 
     chat_mode = isinstance(request, ChatCompletionRequest)
 
-    if request.method and request.method != "litellm" and request.api_base:
-        logger.warning("Ignoring api_base because method is not litellm")
+    if request.method:
+        if request.method != "litellm" and request.api_base:
+            logger.warning("Ignoring api_base because method is not litellm")
         method = request.method
-    elif (request.method == "litellm" and request.model is None) or (request.method is None and request.api_base is not None):
-        request.method = "litellm"
-        request.model = config.hosted_model if request.model is None else request.model
+    elif request.api_base is not None:
         method = "litellm"
-    elif request.method is None and request.model:
-        method = GenerationFactory.method(request.model, request.method)
-    elif request.method is None:
-        method = 'llama.cpp'
+        request.model = request.model or default_hosted_model
     else:
-        method = request.method
+        method = GenerationFactory.method(request.model, config.method) if request.model else config.method
 
     open_ai_params = request.openai_params()
 
     logger.debug(f"OpenAI params: {open_ai_params}")
 
     if method == "llama.cpp":
-        model = request.model or config.local_model
-        logger.info(f"Using model {model}")
-        llm = LLM(
-            verbose=config.verbose,
-            path=model,
-            method="llama.cpp",
-            n_ctx=8192,
-            n_gpu_layers=-1 if config.gpu else 0,
-            # Special-case models whose embedded prompt templates do not work well
-            **({ 'chat_format': "mistrallite"} if "mistral" in model or "mixtral" in model else {})
-        ).generator.llm
+        model = request.model or config.model
+        logger.info(f"Using llama.cpp model {model}")
+        llm = get_llama_cpp_llm(model, config.verbose_logging, config.gpu)
 
         completion_fn = (llm.create_chat_completion if chat_mode else llm.create_completion)
 
@@ -65,7 +69,7 @@ async def completion(request: CompletionRequest | ChatCompletionRequest) -> Self
                 {"data": json.dumps(item)} for item in result
             )
     elif method == "litellm":
-        logger.info(f"Using model {request.model or 'litellm default'}")
+        logger.info(f"Using litellm model {request.model or config.model or 'litellm default'}")
         if not chat_mode:
             open_ai_params["messages"] = [{"content": open_ai_params["prompt"], "role": "user"}]
             del open_ai_params["prompt"]
@@ -73,7 +77,14 @@ async def completion(request: CompletionRequest | ChatCompletionRequest) -> Self
         if "temperature" in open_ai_params and open_ai_params["temperature"] == 0.0:
             open_ai_params["temperature"] = 0.0000001
 
-        result = litellm.completion(**open_ai_params, base_url=request.api_base, api_key=request.api_key or "none")
+        open_ai_params["model"] = request.model or config.model
+
+        result = litellm.completion(
+            **open_ai_params,
+            base_url=request.api_base or config.api_base,
+            api_key=request.api_key or config.api_key if hasattr(config, 'api_key') else None
+        )
+
         if request.stream:
             logger.debug("Streaming response")
             return EventSourceResponse(
@@ -82,7 +93,7 @@ async def completion(request: CompletionRequest | ChatCompletionRequest) -> Self
             )
     elif method == "transformers":  # TODO: Check GPU support
         # # TODO: TL;DR this seems like way too much. Look for another library.
-        # model = request.model or default_local_gpu_model
+        # model = request.model or config.model
         # logger.info(f"Using model {model}")
         #
         # import torch
diff --git a/selfie/types/completion_requests.py b/selfie/types/completion_requests.py
index 8eb71c3..e14f2ae 100644
--- a/selfie/types/completion_requests.py
+++ b/selfie/types/completion_requests.py
@@ -72,10 +72,6 @@ class Config:
             }
         }
 
-
-class ChatCompletionRequest(BaseCompletionRequest):
-    messages: List[Message] = Field(..., description="A list of messages comprising the conversation so far.")
-
     custom_params: ClassVar[List[str]] = ["method", "api_base", "api_key", "disable_augmentation"]
 
     def openai_params(self):
@@ -95,6 +91,10 @@ def extra_params(self):
         """
         return {k: v for k, v in self.model_dump().items() if k not in self.model_fields.keys()}
 
+
+class ChatCompletionRequest(BaseCompletionRequest):
+    messages: List[Message] = Field(..., description="A list of messages comprising the conversation so far.")
+
     model_config = {
         "json_schema_extra": {
             "example": {
diff --git a/selfie/types/documents.py b/selfie/types/documents.py
index 133b2ae..306f472 100644
--- a/selfie/types/documents.py
+++ b/selfie/types/documents.py
@@ -1,6 +1,9 @@
 from pydantic import BaseModel
 from typing import Optional, Dict, Any
 from datetime import datetime
+from llama_index.core.node_parser import SentenceSplitter
+from selfie.config import get_app_config
+from selfie.embeddings import EmbeddingDocumentModel
 
 
 class BaseDTO(BaseModel):
@@ -16,6 +19,26 @@ class DocumentDTO(BaseDTO):
     name: str
     size: int
 
+    def map_to_index_documents(self):
+        config = get_app_config()
+
+        return [
+            EmbeddingDocumentModel(
+                text=text_chunk,
+                # source=selfie_document.document_connection.connector_name,
+                source="Unknown",
+                timestamp=self.extract_timestamp(),
+                source_document_id=self.id,
+            )
+            for text_chunk in SentenceSplitter(
+                chunk_size=config.embedding_chunks_size,
+                chunk_overlap=config.embedding_chunk_overlap
+            ).split_text(self.content)
+        ]
+
+    def extract_timestamp(self):
+        return self.created_at if self.created_at else datetime.now()
+
 
 class DocumentConnectionDTO(BaseDTO):
     id: Optional[int] = None
diff --git a/selfie/utils/filesystem.py b/selfie/utils/filesystem.py
index e8fd020..96b98c7 100644
--- a/selfie/utils/filesystem.py
+++ b/selfie/utils/filesystem.py
@@ -2,36 +2,81 @@
 import platform
 
 
-def get_app_dir(app_name, dir_name, roaming=True, log_dir=False):
+def get_system_path(app_name, dir_name, path_type='data'):
+    """
+    Generates paths for app data, caches, and logs based on the operating system.
+
+    Args:
+        app_name (str): The application's name, part of the path.
+        dir_name (str): The specific directory name for the data.
+        path_type (str): The type of path ('data', 'cache', 'logs').
+
+    Returns:
+        str: The constructed path.
+    """
     os_name = platform.system()
-    if os_name == 'Darwin':
-        home = os.path.expanduser('~')
-        if log_dir:
-            return os.path.join(home, 'Library', 'Logs', app_name, dir_name)
-        return os.path.join(home, 'Library', 'Application Support', app_name, dir_name)
-    elif os_name == 'Windows':
-        if roaming:
-            root = os.environ.get('APPDATA')
-        else:
-            root = os.environ.get('LOCALAPPDATA')
-        if root is None:
-            raise OSError("Unable to determine application data directory")
-        return os.path.join(root, app_name, dir_name)
-    else:
-        home = os.path.expanduser('~')
-        return os.path.join(home, '.' + app_name, dir_name)
+    paths_config = {
+        'Darwin': {
+            'base': os.path.expanduser('~'),
+            'sub': {
+                'data': ['Library', 'Application Support'],
+                'cache': ['Library', 'Caches'],
+                'logs': ['Library', 'Logs'],
+            }
+        },
+        'Windows': {
+            'base': {
+                'data': os.environ.get('APPDATA'),
+                'cache': os.environ.get('LOCALAPPDATA'),
+                'logs': os.environ.get('LOCALAPPDATA'),
+            },
+            'sub': {
+                'data': [],
+                'cache': ['Cache'],
+                'logs': ['Logs'],
+            }
+        },
+        'Linux': {
+            'base': os.path.expanduser('~'),
+            'sub': {
+                'data': ['.' + app_name],
+                'cache': ['.' + app_name, 'cache'],
+                'logs': [app_name, 'logs'],
+            }
+        }
+    }
+
+    config = paths_config.get(os_name, paths_config['Linux'])  # Default to Linux for unknown OS
+    base_path = config['base'][path_type] if isinstance(config['base'], dict) else config['base']
+    sub_path = config['sub'][path_type] + [app_name, dir_name] if path_type in ['data', 'logs'] else config['sub'][path_type] + [dir_name]
+
+    if base_path is None:
+        raise OSError(f"Unable to determine base path for {path_type} on {os_name}.")
+
+    constructed_path = os.path.join(base_path, *sub_path)
+    normalized_path = os.path.normpath(constructed_path)
+
+    return normalized_path
 
 
 def ensure_dir_exists(dir_path):
     os.makedirs(dir_path, exist_ok=True)
 
 
+def get_nltk_dir(app_name):
+    return get_system_path(app_name, "nltk_data", path_type='cache')
+
+
+def get_tiktoken_dir(app_name):
+    return get_system_path(app_name, "tiktoken_cache", path_type='cache')
+
+
 def get_data_dir(app_name):
-    return get_app_dir(app_name, 'Data', roaming=True)
+    return get_system_path(app_name, 'data')
 
 
 def get_log_dir(app_name):
-    return get_app_dir(app_name, '', log_dir=True)
+    return get_system_path(app_name, '', path_type='logs')
 
 
 def get_data_path(app_name, file_name):
@@ -44,3 +89,8 @@ def get_log_path(app_name, file_name):
     log_dir = get_log_dir(app_name)
     ensure_dir_exists(log_dir)
     return os.path.join(log_dir, file_name)
+
+
+def resolve_path(path):
+    """Expand user directory (~), resolve to absolute path, and follow symlinks."""
+    return os.path.realpath(os.path.abspath(os.path.expanduser(path)))
diff --git a/start.sh b/start.sh
index 999a876..3a0f0fb 100755
--- a/start.sh
+++ b/start.sh
@@ -1,12 +1,5 @@
 #!/bin/bash
 
-if [ ! -f "selfie/.env" ]; then
-    echo "Copying selfie/.env.example to selfie/.env..."
-    cp selfie/.env.example selfie/.env
-else
-    echo "selfie/.env already exists. Skipping copy."
-fi
-
 MISSING_DEPENDENCIES=""
 
 PYTHON_COMMAND=$(command -v python3 || { command -v python &>/dev/null && python --version 2>&1 | grep -q "Python 3" && echo python; })
@@ -19,12 +12,6 @@ if [ ! -z "$MISSING_DEPENDENCIES" ]; then
     exit 1
 fi
 
-if command -v nvcc &>/dev/null || command -v rocm-info &>/dev/null || [ "$(uname -m)" = "arm64" ]; then
-    GPU_FLAG="--gpu"
-else
-    GPU_FLAG=""
-fi
-
 echo "Installing Python dependencies with Poetry..."
 poetry install
 
@@ -44,4 +31,4 @@ if [ ! -z "$ENV_FLAG" ]; then
     export $ENV_FLAG
 fi
 
-poetry run python -m selfie $GPU_FLAG
+poetry run python -m selfie