Update app.py

app.py

@@ -9,8 +9,13 @@ model.eval()
 
 classes = ["Not LBW", "LBW"]
 
-def predict(video):
-    frames = extract_frames(video)
+def predict(video_file):
+    if isinstance(video_file, dict) and "name" in video_file:
+        video_path = video_file["name"]
+    else:
+        video_path = video_file  # fallback for older Gradio behavior
+
+    frames = extract_frames(video_path)
     with torch.no_grad():
         output = model(frames)
         pred = torch.argmax(output, dim=1).item()
@@ -19,7 +24,7 @@ def predict(video):
 
 iface = gr.Interface(
     fn=predict,
-    inputs=gr.Video(type="filepath"),
+    inputs=gr.Video(),  # No 'type' param in Gradio v4+
     outputs=gr.Text(),
     title="Smart LBW Classifier",
     description="Upload a cricket video. The AI model will predict whether it's an LBW or not."