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Dockerfile

@@ -47,7 +47,7 @@ ENV PATH="/app/.venv/bin:$PATH"
 ENV PYTHONPATH="/app/env:$PYTHONPATH"
 
 HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
-    CMD curl -f http://localhost:8000/health || exit 1
+    CMD curl -f http://localhost:7860/health || exit 1
 
 ENV ENABLE_WEB_INTERFACE=true
-CMD ["sh", "-c", "cd /app/env && uvicorn server.app:app --host 0.0.0.0 --port 8000"]
+CMD ["sh", "-c", "cd /app/env && uvicorn server.app:app --host 0.0.0.0 --port 7860"]

README.md

@@ -4,7 +4,7 @@ emoji: 🧹
 colorFrom: blue
 colorTo: purple
 sdk: docker
-app_port: 8000
+app_port: 7860
 base_path: /web
 ---
 <div align="center">

inference.py

@@ -305,7 +305,11 @@ async def main() -> None:
 
     client = OpenAI(base_url=API_BASE_URL, api_key=API_KEY)
 
-    env = await DataCleaningEnv.from_docker_image(LOCAL_IMAGE_NAME)
+    if os.getenv("SPACE_ID"):   # Running inside HF Space
+        env = DataCleaningEnv(base_url="http://localhost:7860")
+        await env.connect()
+    else:
+        env = await DataCleaningEnv.from_docker_image(LOCAL_IMAGE_NAME)
 
     results = []
     try:

server/Dockerfile

@@ -73,8 +73,8 @@ ENV PYTHONPATH="/app/env:$PYTHONPATH"
 
 # Health check
 HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
-    CMD curl -f http://localhost:8000/health || exit 1
+    CMD curl -f http://localhost:7860/health || exit 1
 
 # Run the FastAPI server
 # The module path is constructed to work with the /app/env structure
-CMD ["sh", "-c", "cd /app/env && uvicorn server.app:app --host 0.0.0.0 --port 8000"]
+CMD ["sh", "-c", "cd /app/env && uvicorn server.app:app --host 0.0.0.0 --port 7860"]

server/app.py

@@ -18,7 +18,7 @@ app = create_app(
 def main() -> None:
     """Entry point for openenv serve / uv run / python -m."""
     import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=8000)
+    uvicorn.run(app, host="0.0.0.0", port=7860)
 
 
 if __name__ == "__main__":