Upload app.py

app.py

@@ -12,6 +12,7 @@ import cv2
 import numpy as np
 import sys
 from pathlib import Path
+from typing import Tuple
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
 # ------------------------------------------------------------------
@@ -92,7 +93,7 @@ load_all_models()
 # ------------------------------------------------------------------
 # Feedback Generation
 # ------------------------------------------------------------------
-def generate_feedback(persona_name, input_report):
+def generate_feedback(persona_name: str, input_report: str) -> str:
     """Generates feedback using the selected model and prompt structure."""
     
     model = MODELS_CACHE.get(persona_name)
@@ -136,7 +137,8 @@ def generate_feedback(persona_name, input_report):
 # ------------------------------------------------------------------
 # Main Analysis Function
 # ------------------------------------------------------------------
-def analyze_video(video_file, persona_choice, reference_exercise):
+def analyze_video(video_file, persona_choice: str, reference_exercise: str) -> Tuple[str, str, str]:
+    """Analyze video and return technical report, coach feedback, and JSON results."""
     if video_file is None:
         return "Please upload a video first.", "", "{}"
     
@@ -205,11 +207,12 @@ with gr.Blocks(title="AI Fitness Coach", theme=gr.themes.Soft()) as demo:
                 visible=False
             )
     
-    # Connect button
+    # Connect button (api_name=False disables API schema generation which has bugs in Gradio 5.x)
     analyze_btn.click(
         fn=analyze_video,
         inputs=[video_input, persona_select, reference_select],
-        outputs=[report_output, feedback_output, json_output]
+        outputs=[report_output, feedback_output, json_output],
+        api_name=False
     )
     
     gr.Markdown("""
@@ -221,5 +224,5 @@ with gr.Blocks(title="AI Fitness Coach", theme=gr.themes.Soft()) as demo:
 
 # Launch
 if __name__ == "__main__":
-    # Ensure share=True is set
-    demo.launch(share=True)
+    # Disable SSR (experimental) and share (not needed for HF Spaces)
+    demo.launch(ssr_mode=False, share=False)