from pathlib import Path from fastapi import FastAPI from fastapi.staticfiles import StaticFiles import uvicorn import gradio as gr from datetime import datetime # create a FastAPI app app = FastAPI() # create a static directory to store the static files static_dir = Path('./static') static_dir.mkdir(parents=True, exist_ok=True) # mount FastAPI StaticFiles server app.mount("/static", StaticFiles(directory=static_dir), name="static") # Gradio code def predict(text_input): file_name = f"{datetime.utcnow().strftime('%s')}.html" file_path = static_dir / file_name print(file_path) with open(file_path, "w") as f: f.write(f"""

Hello {text_input}

{file_name}

""") return f'{file_name}' with gr.Blocks() as block: text_input = gr.Textbox(label="Name") markdown = gr.Markdown(label="Output Box") new_btn = gr.Button("New") new_btn.click(fn=predict, inputs=[text_input], outputs=[markdown]) # mount Gradio app to FastAPI app app = gr.mount_gradio_app(app, block, path="/") # serve the app if __name__ == "__main__": uvicorn.run(app, host="0.0.0.0", port=7860)