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| import gradio as gr | |
| from flask import Flask, render_template, request # Import Flask components | |
| app = Flask(__name__) | |
| def hello_world(): | |
| return "Hello, World!" | |
| # Define your Gradio interface | |
| def predict(input_data): | |
| # Process the input data using your Flask app logic | |
| processed_data = ... # Replace with your processing code | |
| return processed_data | |
| gradio_app = gr.Interface( | |
| predict, | |
| inputs=[gr.Textbox(label="Input")], # Customize inputs as needed | |
| outputs=gr.Textbox(label="Output"), # Customize outputs as needed | |
| title="Your App Title", | |
| description="A brief description of your app's functionality." | |
| ) | |
| if __name__ == "__main__": | |
| gradio_app.launch() # Optional: Launch the Gradio app locally for testing | |
| app.run() | |