Update app.py

app.py

@@ -70,7 +70,7 @@ AG_ZIP_NAME    = os.getenv("AG_ZIP_NAME",    "autogluon_predictor_dir.zip")
 
 # Processing parameters
 FRAME_SKIP     = int(os.getenv("FRAME_SKIP", "2"))    # process every Nth frame
-KEEP_CONF      = float(os.getenv("KEEP_CONF", "0.85"))# YOLO conf to keep color inside bbox
+KEEP_CONF      = float(os.getenv("KEEP_CONF", "0.70"))# YOLO conf to keep color inside bbox
 YOLO_CONF      = float(os.getenv("YOLO_CONF", "0.25"))
 YOLO_IOU       = float(os.getenv("YOLO_IOU",  "0.50"))
 MIN_SEP_S      = float(os.getenv("MIN_SEP_S", "1.2")) # min gap between events (s)
@@ -577,40 +577,14 @@ with gr.Blocks(css=CSS, title="Fencing Scoreboard Detector") as demo:
         visible=False
     )
 
-    def wrapped_run(video_file):
+    def run(video_file):
         if not video_file:
-            yield gr.update(value=[], visible=False), "Please upload a video file.", gr.update(value=_make_progress_bar(0), visible=False)
-            return
-
-        # Start looping animation
-        progress_iter = looping_progress()
-
-        # Run pipeline in background, but yield progress until it finishes
-        import threading
-
-        result = {}
-
-        def run_pipeline():
-            clips, status_msg = extract_score_clips(video_file, debug=False)
-            result["clips"] = clips
-            result["status"] = status_msg
-
-        t = threading.Thread(target=run_pipeline)
-        t.start()
-
-        while t.is_alive():
-            yield gr.update(value=[], visible=False), "Processing...", next(progress_iter)
-
-        # When pipeline is done → final bar at 100% + output
-        clips, status_msg = result["clips"], result["status"]
-        final_bar = _make_progress_bar(100, "✅ Done")
-        yield gr.update(value=clips, visible=True), status_msg, final_bar
-
-    run_btn.click(
-        fn=wrapped_run,
-        inputs=in_video,
-        outputs=[gallery, status, progress_html],
-    )
+            return [], "Please upload a video file."
+        clips, status_msg = extract_score_clips(video_file, debug=False)
+        return clips, status_msg
+    
+    run_btn.click(fn=run, inputs=in_video, outputs=[gallery, status])
 
 if __name__ == "__main__":
-    demo.launch(debug=True)
+    demo.launch(server_name="0.0.0.0", server_port=7860, show_api=False)
+