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Merge pull request #33 from DevXT-LLC/Add-basic-ui
Added basic streamlit UI to test inference
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,141 @@ | ||
| import streamlit as st | ||
| import openai | ||
| import requests | ||
| import time | ||
| import base64 | ||
| import os | ||
| import re | ||
| from datetime import datetime | ||
| from dotenv import load_dotenv | ||
|
|
||
| load_dotenv() | ||
| st.title("ezLocalai") | ||
|
|
||
| EZLOCALAI_SERVER = os.getenv("EZLOCALAI_URL", "http://localhost:8091") | ||
| EZLOCALAI_API_KEY = os.getenv("EZLOCALAI_API_KEY", "none") | ||
| DEFAULT_LLM = os.getenv("DEFAULT_LLM", "phi-2-dpo") | ||
| openai.base_url = f"{EZLOCALAI_SERVER}/v1/" | ||
| openai.api_key = EZLOCALAI_API_KEY if EZLOCALAI_API_KEY else EZLOCALAI_SERVER | ||
| HEADERS = { | ||
| "Content-Type": "application/json", | ||
| "Authorization": f"{EZLOCALAI_API_KEY}", | ||
| "ngrok-skip-browser-warning": "true", | ||
| } | ||
|
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||
|
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| def get_voices(): | ||
| global EZLOCALAI_SERVER | ||
| global HEADERS | ||
| voices = requests.get(f"{EZLOCALAI_SERVER}/v1/audio/voices", headers=HEADERS) | ||
| return voices.json() | ||
|
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|
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| waiting_for_server = False | ||
|
|
||
| while True: | ||
| try: | ||
| voices = get_voices() | ||
| break | ||
| except: | ||
| if waiting_for_server == False: | ||
| st.spinner("Waiting for server to start...") | ||
| waiting_for_server = True | ||
| time.sleep(1) | ||
| waiting_for_server = False | ||
|
|
||
|
|
||
| def display_content(content): | ||
| global EZLOCALAI_SERVER | ||
| global HEADERS | ||
| outputs_url = f"{EZLOCALAI_SERVER}/outputs/" | ||
| os.makedirs("outputs", exist_ok=True) | ||
| if "http://localhost:8091/outputs/" in content: | ||
| if outputs_url != "http://localhost:8091/outputs/": | ||
| content = content.replace("http://localhost:8091/outputs/", outputs_url) | ||
| if "<audio controls>" in content or " " not in content: | ||
| try: | ||
| audio_response = content.split("data:audio/wav;base64,")[1].split('" type')[ | ||
| 0 | ||
| ] | ||
| except: | ||
| audio_response = content | ||
| file_name = f"outputs/{datetime.now().strftime('%Y-%m-%d-%H-%M-%S')}.wav" | ||
| with open(file_name, "wb") as fh: | ||
| fh.write(base64.b64decode(audio_response)) | ||
| st.audio(file_name, format="audio/wav", start_time=0) | ||
| if outputs_url in content: | ||
| urls = re.findall(f"{re.escape(outputs_url)}[^\"' ]+", content) | ||
| urls = urls[0].split("\n\n") | ||
| for url in urls: | ||
| file_name = url.split("/")[-1] | ||
| url = f"{outputs_url}{file_name}" | ||
| data = requests.get(url, headers=HEADERS).content | ||
| if url.endswith(".jpg") or url.endswith(".png"): | ||
| content = content.replace(url, "") | ||
| st.image(data, use_column_width=True) | ||
| elif url.endswith(".mp4"): | ||
| content = content.replace(url, "") | ||
| st.audio(data, format="audio/mp4", start_time=0) | ||
| elif url.endswith(".wav"): | ||
| content = content.replace(url, "") | ||
| st.audio(data, format="audio/wav", start_time=0) | ||
| st.markdown(content, unsafe_allow_html=True) | ||
|
|
||
|
|
||
| with st.form("chat"): | ||
| SYSTEM_MESSAGE = st.text_area( | ||
| "System Prompt", | ||
| "The assistant is acting as a creative writer. All of your text responses are transcribed to audio and sent to the user. Be concise with all responses. After the request is fulfilled, end with </s>.", | ||
| ) | ||
| DEFAULT_MAX_TOKENS = st.number_input( | ||
| "Max Output Tokens", min_value=10, max_value=300000, value=256 | ||
| ) | ||
| DEFAULT_TEMPERATURE = st.number_input( | ||
| "Temperature", min_value=0.0, max_value=1.0, value=0.5 | ||
| ) | ||
| DEFAULT_TOP_P = st.number_input("Top P", min_value=0.0, max_value=1.0, value=0.9) | ||
| voice_drop_down = st.selectbox( | ||
| "Text-to-Speech Response Voice", ["None"] + voices["voices"], index=0 | ||
| ) | ||
| uploaded_file = st.file_uploader("Upload an image") | ||
| prompt = st.text_area("Your Message:", "Describe each stage of this image.") | ||
| send = st.form_submit_button("Send") | ||
| if prompt != "" and send: | ||
| st.markdown("---") | ||
| st.spinner("Thinking...") | ||
| messages = [] | ||
| if SYSTEM_MESSAGE != "": | ||
| messages.append({"role": "system", "content": SYSTEM_MESSAGE}) | ||
| if uploaded_file: | ||
| messages.append( | ||
| { | ||
| "role": "user", | ||
| "content": [ | ||
| {"type": "text", "text": prompt}, | ||
| { | ||
| "type": f"{uploaded_file.type.split('/')[0]}_url", | ||
| f"{uploaded_file.type.split('/')[0]}_url": { | ||
| "url": f"data:{uploaded_file.type};base64,{base64.b64encode(uploaded_file.read()).decode('utf-8')}", | ||
| }, | ||
| }, | ||
| ], | ||
| }, | ||
| ) | ||
| if uploaded_file.type.startswith("image"): | ||
| st.image(uploaded_file, use_column_width=True) | ||
| if messages == []: | ||
| messages = [ | ||
| {"role": "user", "content": prompt}, | ||
| ] | ||
| extra_body = {} if voice_drop_down == "None" else {"voice": voice_drop_down} | ||
| response = openai.chat.completions.create( | ||
| model=DEFAULT_LLM, | ||
| messages=messages, | ||
| temperature=DEFAULT_TEMPERATURE, | ||
| max_tokens=DEFAULT_MAX_TOKENS, | ||
| top_p=DEFAULT_TOP_P, | ||
| stream=False, | ||
| extra_body=extra_body, | ||
| ) | ||
| display_content(response.choices[0].message.content) | ||
| st.balloons() |