Update ct_seg_gradio.py

ct_seg_gradio.py

@@ -7,7 +7,7 @@ from PIL import Image
 from huggingface_hub import HfApi
 #import torchvision.transforms as transforms
 
-api = HfApi()
+#api = HfApi()
 
 num_rank = 200
 image_prefix = "ct_synthetic_60_large/"
@@ -62,10 +62,12 @@ def find_completed_idxs(save_path=save_path):
         return file_list, incorrect_files
 
 def load_next(rank, img_1, mask_1, img_2, mask_2, img_3, mask_3, img_4, mask_4, example, ids=image_ids, image_prefix=image_prefix, save_path=save_path):
+    '''
     api.upload_folder(
     folder_path="/home/user/app/ct_seg_ranks",
     repo_id="eprakash/gradio",
     repo_type="space",)
+    '''
     file_list, incorrect_files = find_completed_idxs()
     print(str(file_list) + " " + str(incorrect_files))
     if (int(example) not in file_list or int(example) in incorrect_files):
@@ -73,10 +75,12 @@ def load_next(rank, img_1, mask_1, img_2, mask_2, img_3, mask_3, img_4, mask_4,
         r_fp = open(save_path + "/" + str(int(example)) +".txt", "w")
         r_fp.write(r + "\n")
         r_fp.close()
+    '''
     api.upload_folder(
     folder_path="/home/user/app/ct_seg_ranks",
     repo_id="eprakash/gradio",
     repo_type="space",)
+    '''
     file_list, incorrect_files = find_completed_idxs()
     if (len(incorrect_files) != 0):
         example = incorrect_files[-1]