Mount Gradio UI onto FastAPI server to serve both / and /api/v1 endpoints

app.py

@@ -1,6 +1,6 @@
 """
-Main entry point for Hugging Face Spaces (Gradio SDK + ZeroGPU support).
-Provides an interactive Gradio Web UI and exposes the FastAPI REST API simultaneously.
+Main entry point for Hugging Face Spaces (Gradio SDK + FastAPI REST API).
+Mounts Gradio UI onto FastAPI server so that both the Web UI (at /) and REST API (at /api/v1/...) work seamlessly.
 """
 
 import os
@@ -84,7 +84,7 @@ with gr.Blocks(title="Bilingual Arabic-English Text Summarization AI", theme=gr.
     gr.Markdown("""
     **Production NLP Platform** supporting Extractive (TextRank, LSA, Hybrid) and Abstractive (Seq2Seq + Bahdanau Attention) summarization.
     
-    🔗 **REST API**: Use `/api/v1/summarize` | `/api/v1/health` | `/api/v1/detect-language` | `/api/v1/evaluate`
+    🔗 **REST API**: Use `/api/v1/summarize` | `/api/v1/health` | `/api/v1/detect-language` | `/api/v1/evaluate` | Docs at `/docs`
     """)
     
     with gr.Row():
@@ -120,12 +120,13 @@ with gr.Blocks(title="Bilingual Arabic-English Text Summarization AI", theme=gr.
     btn.click(
         fn=summarize_text,
         inputs=[input_text, algorithm, sentences, beam_width],
-        outputs=[output_summary, out_lang, out_reduc, out_lat]
+        outputs=[output_summary, out_lang, out_reduc, out_lat],
+        api_name="summarize"
     )
 
-# Properly register all FastAPI routes and schemas into Gradio's FastAPI app
-demo.app.include_router(fastapi_app.router)
+# Mount Gradio UI directly onto the FastAPI app
+app = gr.mount_gradio_app(fastapi_app, demo, path="/")
 
-# Launch Gradio app
-demo.queue()
-demo.launch(ssr_mode=False)
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)