Update app.py

app.py

@@ -290,6 +290,7 @@ def predict(image):
 
     print("Min value of image after normalization:", np.min(annotated_img))
     print("Max value of image after normalization:", np.max(annotated_img))
+    print("Type of annotated_img after normalization:", type(annotated_img))
 
     # Convert to PIL Image
     # annotated_img = Image.fromarray(annotated_img)
@@ -300,8 +301,8 @@ def predict(image):
 demo = gr.Interface(
     fn=predict,
     inputs=gr.Image(sources=["webcam"], type="numpy"),  # Accepts image input
-    outputs="image"  # Customize based on your output format
-    # outputs=gr.Image(type="pil"),  # Accepts image input
+    # outputs="image"  # Customize based on your output format
+    outputs=gr.Image(type="numpy"),  # Accepts image input
 )
 
 if __name__ == "__main__":