preparing for distribution

.github/workflows/pypi.yaml

@@ -0,0 +1,22 @@
+name: Publish Plugin to PyPI
+
+on:
+  workflow_dispatch:
+
+jobs:
+  pypi:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - run: |
+          pipx install poetry
+      - uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+      - name: Build and Publish
+        run: |
+          cd web
+          npm install
+          npm run build
+          poetry build
+          poetry publish -u ${{ secrets.PYPI_USERNAME }} -p ${{ secrets.TEST_PYPI_PASSWORD }}

.github/workflows/test-pypi.yaml

@@ -0,0 +1,25 @@
+name: Publish Plugin to Test PyPI
+
+on:
+  workflow_dispatch:
+
+jobs:
+  pypi:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - run: |
+          pipx install poetry
+      - uses: actions/setup-python@v5
+        with:
+          python-version: '3.10'
+      - name: Set up Test PyPI Repository
+        run: |
+          poetry config repositories.test-pypi https://test.pypi.org/legacy/
+      - name: Build and Publish
+        run: |
+          cd web
+          npm install
+          npm run build
+          poetry build
+          poetry publish -r test-pypi -u ${{ secrets.PYPI_USERNAME }} -p ${{ secrets.TEST_PYPI_PASSWORD }}

README.md

@@ -1,2 +1,23 @@
-# graphbook-huggingface
-The huggingface plugin for Graphbook
+<p align="center">
+  <a href="https://graphbook.ai">
+    <img src="https://github.com/graphbookai/graphbook/blob/main/docs/_static/graphbook.png?raw=true" alt="Logo" width=256>
+  </a>
+
+  <h1 align="center">Graphbook Huggingface</h1>
+
+  <p align="center">
+    A Huggingface Plugin to drag-and-drop models and datasets onto Graphbook workflows
+  </p>
+</p>
+
+This plugin contains a web panel for searching and drag-and-dropping models and datasets from [Huggingface Hub](https://huggingface.co/) onto their graphbook workflows.
+It also contains the following nodes:
+
+* `HuggingfacePipeline` for model usage from transformers package
+* `HuggingfaceDataset` for dataset usage from the datasets package
+* `AssignModelOutputsToNotes` to assign HF model outputs to incoming Notes
+
+## Getting started
+1. `pip install graphbook_huggingface`
+1. `graphbook --config hf.config.yaml`
+

graphbook_huggingface/__init__.py

@@ -7,4 +7,4 @@
 export("HuggingfaceDataset", HuggingfaceDataset)
 export("AssignModelOutputsToNotes", AssignModelOutputsToNotes)
 
-web(osp.realpath(osp.join(osp.dirname(__file__), "../web/dist/bundle.js")))
+web(osp.realpath(osp.join(osp.dirname(__file__), "./dist/bundle.js")))

hf.config.yaml

@@ -0,0 +1,2 @@
+plugins:
+  - graphbook_huggingface

web/package.json

@@ -5,7 +5,8 @@
   "main": "index.js",
   "scripts": {
     "test": "echo \"Error: no test specified\" && exit 1",
-    "build": "webpack --config webpack.config.js --mode development"
+    "build:dev": "webpack --config webpack.config.js --mode development",
+    "build": "webpack --config webpack.config.js --mode production"
   },
   "author": "",
   "license": "ISC",

web/webpack.config.js

@@ -1,7 +1,7 @@
 module.exports = {
     entry: './src/main.tsx',
     output: {
-        filename: 'bundle.js',        
+        filename: '../../graphbook_huggingface/dist/bundle.js',        
         library: {
             type: 'module'
         },