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app.py

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+from fastapi import FastAPI
+import gradio as gr
+
+# Create FastAPI app
+app = FastAPI()
+
+# Shared data
+shared_message = {"text": "Hello from FastAPI + Gradio!"}
+
+
+# --- FastAPI Route ---
+@app.get("/api/message")
+def get_message():
+    """Fetch the current message."""
+    return {"message": shared_message["text"]}
+
+
+@app.post("/api/message")
+def update_message(new_message: str):
+    """Update the current message."""
+    shared_message["text"] = new_message
+    return {"success": True, "message": shared_message["text"]}
+
+
+# --- Gradio Interface ---
+def fetch_message():
+    return shared_message["text"]
+
+
+def set_message(new_message):
+    shared_message["text"] = new_message
+    return f"Updated message: {new_message}"
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Simple Gradio + FastAPI Integration")
+    message_display = gr.Textbox(label="Current Message", value=fetch_message, interactive=False)
+    new_message_input = gr.Textbox(label="Set New Message")
+    submit_button = gr.Button("Update Message")
+    submit_button.click(set_message, inputs=new_message_input, outputs=message_display)
+
+# Mount Gradio app at `/gradio`
+gradio_app = gr.mount_gradio_app(app, demo, path="/gradio")
+
+# --- Run ---
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)

requirements.txt

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+gradio
+newspaper3k
+transformers
+sentence-transformers
+openai
+todoist-api-python
+flask
+twilio
+fastapi
+uvicorn
+ffmpy
+google-cloud-storage
+fpdf
+markdown
+nest_asyncio
+reportlab