Update app.py

app.py

@@ -1,52 +1,18 @@
 import gradio as gr
-from gully_drs_core import ball_detection, replay_utils
+from pages.live_match import create_lbw_ui
+from pages.upload_analysis import create_analysis_ui
 
-def record_or_upload_video(video_input, pitch_position):
-    # Handle video input (either upload or recording)
-    video_path = video_input.name if hasattr(video_input, 'name') else video_input
+# Define the Gradio interface with tabs
+with gr.Blocks(title="Gully DRS - Decision Review System") as app:
+    gr.Markdown("# Gully DRS - Decision Review System")
     
-    # Pass the video path and pitch position to the LBW detection logic
-    result_clip_path, decision = ball_detection.process_lbw_detection(video_path, pitch_position)
+    # Create tabs for Live Match and Pose Analysis
+    with gr.Tabs():
+        with gr.TabItem("Live Match LBW Review"):
+            create_lbw_ui()
+        with gr.TabItem("Pose-Based Practice Analysis"):
+            create_analysis_ui()
 
-    return result_clip_path, decision
-
-def process_lbw_detection(uploaded_video_file):
-    try:
-        # Process the uploaded video for LBW detection
-        result_clip_path, decision = ball_detection.process_lbw_detection(uploaded_video_file)
-        return result_clip_path, decision
-    except Exception as e:
-        return None, f"Error during LBW detection: {e}"
-
-def create_lbw_ui():
-    with gr.Blocks() as demo:
-        gr.Markdown("### 🏏 GullyDRS - AI Powered Gully Cricket Review System")
-        
-        # Video input: either upload a video or record a video
-        with gr.Row():
-            video_input = gr.Video(label="Upload or Record a Match Video", type="filepath", interactive=True)
-        
-        # Slider for wickets pitch setup
-        pitch_position = gr.Slider(minimum=0, maximum=100, label="Set Wickets Pitch", value=50)  # Example range
-
-        # Button to process the video and make LBW decision
-        process_btn = gr.Button("🚨 Start LBW Detection")
-        
-        # Result output (replay video and decision)
-        with gr.Row():
-            result_clip = gr.Video(label="Replay with LBW Decision", elem_id="result_video")
-            decision_output = gr.Textbox(label="LBW Decision", interactive=False)
-        
-        # Trigger video processing and analysis when the button is clicked
-        process_btn.click(
-            fn=record_or_upload_video,
-            inputs=[video_input, pitch_position],
-            outputs=[result_clip, decision_output]
-        )
-    
-    return demo
-
-
-# Launch the Gradio UI for LBW review
-demo = create_lbw_ui()
-demo.launch(share=True)  # Using share=True to allow public URL
+# Launch the app
+if __name__ == "__main__":
+    app.launch()