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Running on Zero
Running on Zero
Update app.py
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app.py
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import spaces # must be first
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import gradio as gr
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else:
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result += "✅ This text is clean. No proper sentence needed."
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return result
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except Exception as e:
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return f"Error: {str(e)}"
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with gr.Blocks(title="Multilingual Moderation API") as demo:
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gr.Markdown("# Multilingual Moderation API")
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inp = gr.Textbox(lines=3, placeholder="Type a toxic sentence here...", label="Text")
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btn = gr.Button("Moderate")
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out = gr.Textbox(lines=12, label="Moderation Result")
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btn.click(moderate_ui, inp, out, api_name="moderate_ui")
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# Hidden event so ZeroGPU detects the @spaces.GPU function
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with gr.Row(visible=False):
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h_in = gr.Textbox()
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h_out = gr.JSON()
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h_btn = gr.Button()
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h_btn.click(generate_suggestions, h_in, h_out, api_name="rewrite")
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moderation_api.add_middleware(
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CORSMiddleware,
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allow_origins=["*"], # restrict to your Angular domain in production
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allow_methods=["*"],
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allow_headers=["*"],
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)
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if __name__ == "__main__":
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server_name="0.0.0.0",
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server_port=7860,
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prevent_thread_lock=True,
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)
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gradio_app.router.routes.insert(0, Mount("/api", app=moderation_api))
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demo.block_thread()
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import gradio as gr
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import spaces
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import uvicorn
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# Dummy GPU function at the module level to pass ZeroGPU startup check
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@spaces.GPU
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def _satisfy_zerogpu_startup_check():
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"""Dummy function to bypass ZeroGPU startup requirement."""
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return "GPU available"
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from app.main import app as fastapi_app
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# 1. Create the Gradio Interface
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def moderate_ui(text):
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return f"Processing text: {text}"
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demo = gr.Interface(
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fn=moderate_ui,
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inputs="text",
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outputs="text",
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title="Multilingual Moderation API"
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)
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# 2. Mount your FastAPI app onto Gradio's underlying FastAPI instance
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# This keeps your /moderate and /health endpoints accessible.
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# We mount it under the "/api" path to avoid conflicts.
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demo.app.mount("/api", fastapi_app)
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# 3. Launch Gradio (required for ZeroGPU)
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if __name__ == "__main__":
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demo.launch(server_name="0.0.0.0", server_port=7860)
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