Deploy CU1-X to Hugging Face Spaces

- Multi-model AI pipeline (RF-DETR, CLIP, OCR, BLIP)
- Unified API architecture
- Gradio web interface
- Full model weights included via Git LFS
- Ready for production deployment

app.py

@@ -146,8 +146,7 @@ def main():
             demo.queue().launch(
                 server_name=UI_HOST,
                 server_port=UI_PORT,
-                share=False,
-                api_name="predict"  # Explicitly expose API endpoint
+                share=False
             )
         except OSError as e:
             if "Cannot find empty port" in str(e):

ui/shared_interface.py

@@ -260,6 +260,7 @@ def create_interface(
         )
 
         # Connect detection button
+        # api_name exposes this function as /api/predict endpoint for Hugging Face Spaces
         detect_button.click(
             fn=detection_fn,
             inputs=[
@@ -275,7 +276,8 @@ def create_interface(
                 preprocess_mode_radio,
                 preprocess_preset_dropdown
             ],
-            outputs=[output_image, summary_output, json_output]
+            outputs=[output_image, summary_output, json_output],
+            api_name="predict"  # Expose as /api/predict endpoint
         )
         
         # Build footer markdown