Create pythonpublish.yml

.github/workflows/pythonpublish.yml

@@ -0,0 +1,29 @@
+name: Upload Python Package
+
+on:
+  release:
+    types: [created]
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v1
+    - name: Set up Python
+      uses: actions/setup-python@v1
+      with:
+        python-version: '3.5'
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+        pip install torch
+        pip install setuptools==42.0.2
+        pip install wheel twine
+    - name: Build and publish
+      env:
+        TWINE_USERNAME: ${{ secrets.PYPI_USERNAME }}
+        TWINE_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
+      run: |
+        python setup.py sdist bdist_wheel
+        twine upload dist/*

.idea/vcs.xml

@@ -1,6 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="VcsDirectoryMappings">
-    <mapping directory="$PROJECT_DIR$" vcs="Git" />
-  </component>
-</project>

MANIFEST.in

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+include *.txt README.md
+recursive-include docs *.txt

docs/index.rst

@@ -10,6 +10,7 @@ Welcome to nyaggle's documentation!
    :maxdepth: 2
    :caption: Contents:
 
+   installation
    source/nyaggle
 
 

docs/installation.rst

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+Installation
+===================================
+
+You can install nyaggle via pip:
+
+
+.. code-block:: bash
+
+    pip install nyaggle
+
+
+
+To use :code:`nyaggle.nlp.BertSentenceVectorizer`, you first need to install PyTorch.
+Please refer to `PyTorch installation page <https://pytorch.org/get-started/locally/#start-locally>`_
+to install Pytorch to your environment.
+
+If you use :code:`lang=ja` option in :code:`BertSentenceVecorizer`,
+you need to intall MeCab and mecab-python3 package to your environment.