tried to change it back so that the image runs

app.py

@@ -211,7 +211,7 @@ def predict_pipeline(img_input,
                                 color='red',
                                 radius=2,
                                 use_normalized_coordinates=False)
-        return img_input
+        return img_input, #list_kpts_per_crop
 
     else:
         # Compute kpts for each crop
@@ -240,7 +240,7 @@ def predict_pipeline(img_input,
             img_background.paste(img_crop,
                                 box = tuple([int(math.floor(t)) for t in md_results.xyxy[0][ic,:2]]))
                                                                 
-        return img_background #Image.fromarray(list_crops[0]) #Image.fromarray(md_results.imgs[0]) #list_annotated_crops #
+        return img_background, #list_kpts_per_crop, #Image.fromarray(list_crops[0]) #Image.fromarray(md_results.imgs[0]) #list_annotated_crops #
 
 
 ##########################################################
@@ -299,7 +299,8 @@ gr_pose_output = gr.Dataframe(headers=['bodypart', 'x', 'y', 'confidence'],
                               label='pose coordinates')
 
 outputs = [gr_gallery_output, #gr_json_output, 
-gr_pose_output,]
+#gr_pose_output,
+]
 
 gr_title = "MegaDetector v5 + DLClive"
 gr_description = "Detect and estimate the pose of animals in camera trap images, using MegaDetector v5a + DeepLabCut-live. \