pages/upload_analysis.py

import gradio as gr
from gully_drs_core import pose_analysis

def analyze_video(uploaded_practice_video, video_type):
    try:
        feedback = pose_analysis.analyze_practice_video(uploaded_practice_video, video_type)
        return feedback["recommendations"]
    except Exception as e:
        return [f"Error during video analysis: {e}"]

def create_analysis_ui():
    with gr.Blocks() as demo:
        gr.Markdown("### 📤 Upload Batting/Bowling Video for AI Analysis")
        
        # Video upload component (fixed type parameter)
        uploaded_practice_video = gr.File(label="Upload your practice video", type="filepath", interactive=True)
        
        # Video type selection
        video_type = gr.Dropdown(choices=["Batting", "Bowling"], label="Select Video Type", interactive=True)
        
        # Output display for analysis results
        result_output = gr.Textbox(label="AI Feedback", interactive=False)

        # Process button and results
        analyze_btn = gr.Button("🎯 Analyze Performance")
        
        # Link button click to analysis function
        analyze_btn.click(
            fn=analyze_video,
            inputs=[uploaded_practice_video, video_type],
            outputs=[result_output]
        )
    
    return demo

if __name__ == "__main__":
    create_analysis_ui()