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Update app.py
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app.py
CHANGED
@@ -791,19 +791,21 @@ def fetch_updated_state():
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logger.debug(f"{key}: String: {value}")
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logger.debug(f"{key}: Unsupported type: {value}")
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def update_gradio_state(project_desc_table, task_analysis_txt, execution_status, execution_results):
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@@ -1161,39 +1163,72 @@ def create_gradio_interface(state=None):
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# Load function to initialize the state
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# demo.load(load_fn, inputs=None, outputs=[state]) # Initialize the state when the page is loaded
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#
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logging.debug(f"Gradio version: {gr.__version__}")
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logging.debug(f"FastAPI version: {fastapi.__version__}")
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# Mount the Gradio ASGI app at "/gradio"
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app.mount("/gradio", gradio_asgi_app)
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# create a static directory to store the static files
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static_dir = Path('./static')
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static_dir.mkdir(parents=True, exist_ok=True)
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#
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#
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# if os.path.exists(gradio_assets_path):
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# # If assets exist, mount them
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# app.mount("/assets", StaticFiles(directory=gradio_assets_path), name="assets")
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# else:
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# logging.error(f"Gradio assets directory not found at: {gradio_assets_path}")
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# Redirect from the root endpoint to the Gradio app
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@app.get("/", response_class=RedirectResponse)
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async def index():
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return
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# Run the FastAPI server using uvicorn
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if __name__ == "__main__":
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logger.debug(f"{key}: String: {value}")
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else:
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logger.debug(f"{key}: Unsupported type: {value}")
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return shared_state['project_desc_table'], shared_state['task_analysis_txt'], shared_state['execution_status'], shared_state['execution_results']
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# response = requests.get("http://localhost:5000/state")
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# # Check the status code and the raw response
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# if response.status_code == 200:
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# try:
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# state = response.json() # Try to parse JSON
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# return pd.DataFrame(state["project_desc_table"]), state["task_analysis_txt"], pd.DataFrame(state["execution_status"]), state["execution_results"]
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# except ValueError as e:
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# logger.error(f"JSON decoding failed: {e}")
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# logger.debug("Raw response body:", response.text)
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# else:
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# logger.error(f"Error: {response.status_code} - {response.text}")
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# """Fetch the updated shared state from FastAPI."""
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# return pd.DataFrame(), "", pd.DataFrame(), {}
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def update_gradio_state(project_desc_table, task_analysis_txt, execution_status, execution_results):
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# Load function to initialize the state
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# demo.load(load_fn, inputs=None, outputs=[state]) # Initialize the state when the page is loaded
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# Function to launch Gradio
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def launch_gradio():
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demo = create_gradio_interface()
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demo.launch(share=True, inline=False) # Gradio in the foreground
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# Function to run FastAPI server using uvicorn in the background
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async def run_fastapi():
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config = uvicorn.Config(app, host="0.0.0.0", port=5000, reload=True, log_level="debug")
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server = uvicorn.Server(config)
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await server.serve()
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# FastAPI endpoint to display a message
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@app.get("/", response_class=HTMLResponse)
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async def index():
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return "FastAPI is running. Visit Gradio at the provided public URL."
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# Main entry point for the asynchronous execution
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async def main():
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# Run Gradio in the foreground and FastAPI in the background
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loop = asyncio.get_event_loop()
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# Run Gradio in a separate thread (non-blocking)
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loop.run_in_executor(None, launch_gradio)
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# Run FastAPI in the background (asynchronous)
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await run_fastapi()
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if __name__ == "__main__":
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import nest_asyncio
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nest_asyncio.apply() # Allow nested use of asyncio event loops in Jupyter notebooks
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# Run the main function to launch both services concurrently
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asyncio.run(main())
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# # In[21]:
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# demo = create_gradio_interface()
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# # Use Gradio's `server_app` to get an ASGI app for Blocks
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# gradio_asgi_app = demo.launch(share=False, inbrowser=False, server_name="0.0.0.0", server_port=7860, inline=False)
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# logging.debug(f"Gradio version: {gr.__version__}")
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# logging.debug(f"FastAPI version: {fastapi.__version__}")
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# # Mount the Gradio ASGI app at "/gradio"
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# app.mount("/gradio", gradio_asgi_app)
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# # create a static directory to store the static files
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# static_dir = Path('./static')
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# static_dir.mkdir(parents=True, exist_ok=True)
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# # mount FastAPI StaticFiles server
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# app.mount("/static", StaticFiles(directory=static_dir), name="static")
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# # Dynamically check for the Gradio asset directory
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# # gradio_assets_path = os.path.join(os.path.dirname(gr.__file__), "static")
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# # if os.path.exists(gradio_assets_path):
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# # # If assets exist, mount them
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# # app.mount("/assets", StaticFiles(directory=gradio_assets_path), name="assets")
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# # else:
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# # logging.error(f"Gradio assets directory not found at: {gradio_assets_path}")
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# # Redirect from the root endpoint to the Gradio app
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# @app.get("/", response_class=RedirectResponse)
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# async def index():
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# return RedirectResponse(url="/gradio", status_code=307)
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# # Run the FastAPI server using uvicorn
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# if __name__ == "__main__":
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# # port = int(os.getenv("PORT", 5000)) # Default to 7860 if PORT is not set
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# uvicorn.run(app, host="0.0.0.0", port=5000)
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