diff --git a/.travis.yml b/.travis.yml
new file mode 100644
index 0000000..d2c746c
--- /dev/null
+++ b/.travis.yml
@@ -0,0 +1,61 @@
+# This file was generated automatically from conda-smithy. To update this configuration,
+# update the conda-forge.yml and/or the recipe/meta.yaml.
+
+language: generic
+
+os: osx
+osx_image: xcode6.4
+
+env:
+  matrix:
+    
+    - CONDA_PY=27
+    - CONDA_PY=35
+    - CONDA_PY=36
+  global:
+    # The BINSTAR_TOKEN secure variable. This is defined canonically in conda-forge.yml.
+    - secure: "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"
+
+
+before_install:
+    # Fast finish the PR.
+    - |
+      (curl https://raw.githubusercontent.com/conda-forge/conda-forge-build-setup-feedstock/master/recipe/ff_ci_pr_build.py | \
+          python - -v --ci "travis" "${TRAVIS_REPO_SLUG}" "${TRAVIS_BUILD_NUMBER}" "${TRAVIS_PULL_REQUEST}") || exit 1
+
+    # Remove homebrew.
+    - |
+      echo ""
+      echo "Removing homebrew from Travis CI to avoid conflicts."
+      curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/uninstall > ~/uninstall_homebrew
+      chmod +x ~/uninstall_homebrew
+      ~/uninstall_homebrew -fq
+      rm ~/uninstall_homebrew
+
+
+install:
+    # Install Miniconda.
+    - |
+      echo ""
+      echo "Installing a fresh version of Miniconda."
+      MINICONDA_URL="https://repo.continuum.io/miniconda"
+      MINICONDA_FILE="Miniconda3-latest-MacOSX-x86_64.sh"
+      curl -L -O "${MINICONDA_URL}/${MINICONDA_FILE}"
+      bash $MINICONDA_FILE -b
+
+    # Configure conda.
+    - |
+      echo ""
+      echo "Configuring conda."
+      source /Users/travis/miniconda3/bin/activate root
+      conda config --remove channels defaults
+      conda config --add channels defaults
+      conda config --add channels conda-forge
+      conda config --set show_channel_urls true
+      conda install --yes --quiet conda-forge-build-setup
+      source run_conda_forge_build_setup
+
+script:
+  - conda build ./recipe
+
+  - upload_or_check_non_existence ./recipe conda-forge --channel=main
diff --git a/recipe/.meta.yaml.swp b/recipe/.meta.yaml.swp
new file mode 100644
index 0000000..7dbf9bc
Binary files /dev/null and b/recipe/.meta.yaml.swp differ
diff --git a/recipe/meta.yaml b/recipe/meta.yaml
index 4d4d49f..2d85677 100644
--- a/recipe/meta.yaml
+++ b/recipe/meta.yaml
@@ -13,7 +13,7 @@ source:
 
 build:
   number: 0
-  skip: true  # [win32 or osx or py34]
+  skip: true  # [win32 or py34]
   features:
     - vc9   # [win and py27]
     - vc10  # [win and py34]
@@ -34,7 +34,8 @@ requirements:
     - scipy >=0.18.1
     - six >=1.5.0
     - smart_open >=1.2.1
-    
+    - pytest
+
 test:
   requires:
     - nose
@@ -44,6 +45,7 @@ test:
     - pyemd
     - mock
     - boto3
+    - pytest
   imports:
     - gensim
     - gensim.corpora
@@ -59,9 +61,9 @@ test:
   files:
     - forge_test.sh
   commands:
-    - time bash ./forge_test.sh  # [not win]
+    - time bash ./forge_test.sh  # [linux]
     - nosetests --exe -v gensim  # [win]
-    
+    - python -m py.test  # [osx]
 about:
   home: http://github.com/RaRe-Technologies/gensim
   license: LGPL-3.0
@@ -69,9 +71,9 @@ about:
   license_family: LGPL
   summary: 'Topic Modelling for Humans'
   description: |
-    Gensim is a Python library for topic modelling, document indexing 
-    and similarity retrieval with large corpora. 
-    Target audience is the natural language processing (NLP) 
+    Gensim is a Python library for topic modelling, document indexing
+    and similarity retrieval with large corpora.
+    Target audience is the natural language processing (NLP)
     and information retrieval (IR) community.
   doc_url: http://radimrehurek.com/gensim/
   dev_url: https://github.com/RaRe-Technologies/gensim