Update app.py

app.py

@@ -19,6 +19,7 @@ transform = T.Compose([
 def predict(image):
     # Preprocess the image by converting the colour space to RGB
     image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+    print("converted the colour to RGB.")
     
     img_tensor = transform(image).unsqueeze(0)  # Add batch dimension
     
@@ -34,7 +35,7 @@ def predict(image):
 # Gradio interface
 demo = gr.Interface(
     fn=predict,
-    inputs=gr.Image(sources=["webcam"], type="pil"),  # Accepts image input
+    inputs=gr.Image(sources=["webcam"], type="numpy"),  # Accepts image input
     outputs="image" # Customize based on your output format
 )