Dockerizing

.github/workflows/push2hf.yml

@@ -0,0 +1,21 @@
+name: Sync to Hugging Face Space
+
+on:
+#   push:
+#     branches: [main]
+  workflow_dispatch:
+
+jobs:
+  sync:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+          lfs: true
+
+      - name: Push to Space
+        env:
+          HF_TOKEN: ${{ secrets.HUGGINGFACE_API_KEY }}
+        run: |
+          git push https://dn-scrib:$HF_TOKEN@huggingface.co/spaces/dn-scribe/scribe-mcp main --force

.vscode/mcp.json

@@ -1,9 +1,9 @@
 {
 	"servers": {
-		"ScribeMCPHuggingFace": {
-			"url": "https://eporath-scribe-mcp.hf.space/mcp",
-			"type": "sse"
-		},
+		// "ScribeMCPHuggingFace": {
+		// 	"url": "https://eporath-scribe-mcp.hf.space/mcp",
+		// 	"type": "sse"
+		// },
 		"ScribeMCPLocal": {
 			"url": "http://127.0.0.1:8000/mcp",
 			"type": "sse"

Dockerfile

@@ -2,15 +2,15 @@ FROM python:3.10-slim
 
 WORKDIR /app
 
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
 COPY . .
 
+# RUN pip install 'scribe-python-client[all]'
+RUN pip install --no-cache-dir -e '.[all]'
+
 ENV PYTHONPATH=/app
 
 RUN mkdir -p /app/tmp && chmod -R 777 /app/tmp
 
-EXPOSE 7860
+EXPOSE 8000
 
-CMD ["python", "-m", "uvicorn", "scribe_python_client.mcp_app.app:app", "--host", "0.0.0.0", "--port", "7860"]
+CMD ["scribe-client", "--mcp", "--api-token", "$SCRIBE_TOKEN"]

scribe_python_client/mcp_app/main.py

@@ -15,4 +15,4 @@ def run_mcp_server():
     mcp.mount()
     mcp.setup_server()
     import uvicorn
-    uvicorn.run(app, host="127.0.0.1", port=8000)
+    uvicorn.run(app, host="0.0.0.0", port=8000)