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Update app.py
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app.py
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@@ -20,11 +20,11 @@ client = OpenAI(api_key=OPENAI_API_KEY)
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fastapi_app = FastAPI()
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@fastapi_app.get("/initial_prompt")
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def get_initial_prompt():
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return {"prompt": INITIAL_PROMPT}
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@fastapi_app.get("/main_prompt")
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def get_main_prompt():
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return {"prompt": MAIN_PROMPT}
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# ✅ Chatbot Function
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@@ -66,37 +66,36 @@ def respond(user_message, history):
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return "", history
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# ✅ Gradio UI
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gr.
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threading.Thread(target=run_gradio).start()
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if __name__ == "__main__":
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uvicorn.run(fastapi_app, host="0.0.0.0", port=8000)
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fastapi_app = FastAPI()
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@fastapi_app.get("/initial_prompt")
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async def get_initial_prompt():
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return {"prompt": INITIAL_PROMPT}
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@fastapi_app.get("/main_prompt")
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async def get_main_prompt():
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return {"prompt": MAIN_PROMPT}
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# ✅ Chatbot Function
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return "", history
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# ✅ Gradio UI
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def launch_gradio():
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with gr.Blocks() as gradio_app:
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gr.Markdown("## Simple Chat Interface")
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chatbot = gr.Chatbot(
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value=[{"role": "assistant", "content": INITIAL_PROMPT}],
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height=500,
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type="messages"
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)
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state_history = gr.State([("", INITIAL_PROMPT)])
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user_input = gr.Textbox(
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placeholder="Type your message here...",
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label="Your Input"
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)
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user_input.submit(
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respond,
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inputs=[user_input, state_history],
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outputs=[user_input, chatbot]
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).then(
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fn=lambda _, h: h,
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inputs=[user_input, chatbot],
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outputs=[state_history]
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)
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gradio_app.launch(server_name="0.0.0.0", server_port=7860, show_error=True, enable_queue=True)
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# ✅ Run FastAPI and Gradio Separately
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if __name__ == "__main__":
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threading.Thread(target=launch_gradio, daemon=True).start()
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uvicorn.run(fastapi_app, host="0.0.0.0", port=8000)
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