imbajin commented on code in PR #164:
URL:
https://github.com/apache/incubator-hugegraph-ai/pull/164#discussion_r1962981652
##########
hugegraph-llm/src/hugegraph_llm/demo/rag_demo/app.py:
##########
@@ -184,13 +178,22 @@ def refresh_ui_config_prompt() -> tuple:
admin_http_api(api_auth, log_stream)
app.include_router(api_auth)
-
+ # Mount Gradio inside FastAPI
# TODO: support multi-user login when need
app = gr.mount_gradio_app(
app, hugegraph_llm, path="/", auth=("rag", admin_settings.user_token)
if auth_enabled else None
)
- # TODO: we can't use reload now due to the config 'app' of uvicorn.run
- # ❎:f'{__name__}:app' / rag_web_demo:app /
hugegraph_llm.demo.rag_web_demo:app
- # TODO: merge unicorn log to avoid duplicate log output (should be
unified/fixed later)
- uvicorn.run(app, host=args.host, port=args.port, reload=False)
+ return app
+
+
+if __name__ == "__main__":
+ parser = argparse.ArgumentParser()
+ parser.add_argument("--host", type=str, default="0.0.0.0", help="host")
+ parser.add_argument("--port", type=int, default=8001, help="port")
+ args = parser.parse_args()
+
+ import logging
+ logging.getLogger("uvicorn.access").propagate = False
Review Comment:
Thanks a lot, there is another problem, as shown in the figure, the current
gradio logs are not under our control, and a large number of influxes are
flooding in.
<img width="1453" alt="image"
src="https://github.com/user-attachments/assets/ed02a8c1-8bde-4176-ad07-f61b52eb8667";
/>
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