Update app.py

app.py

@@ -15,18 +15,19 @@ def download_model_NLP():
     
     
     output = "GPT2_keras_deer"
-    #id_weights = "106fk9vGF_sHB8St9B2cKYE9jQVNSdKW_"
-    #gdown.download(id=id_weights, output=output, quiet=False)
+    id_weights = "106fk9vGF_sHB8St9B2cKYE9jQVNSdKW_"
+    gdown.download(id=id_weights, output=output, quiet=False)
 
-    #id_index = "10EWM2kJG4djpI5T6VLuj0UkGCbVIjmJx"
-    #gdown.download(id=id_index, output=output, quiet=False)
+    id_index = "10EWM2kJG4djpI5T6VLuj0UkGCbVIjmJx"
+    gdown.download(id=id_index, output=output, quiet=False)
 
-    #id_check_point = "10Et7a0EzyrnnBhMWzt6frXLiNVm8a2qz"
-    #gdown.download(id=id_check_point, output=output, quiet=False)
+    id_check_point = "10Et7a0EzyrnnBhMWzt6frXLiNVm8a2qz"
+    gdown.download(id=id_check_point, output=output, quiet=False)
 
-    id_folder = "1zi3hSBRTP9uwHDVwQMqpGeXb8RBhJfrO"
-    gdown.download_folder(id=id_folder, quiet=True, use_cookies=False)
-    
+    #id_folder = "1zi3hSBRTP9uwHDVwQMqpGeXb8RBhJfrO"
+    #gdown.download_folder(id=id_folder, quiet=True, use_cookies=False)
+
+    print(output)
     model.load_weights(output)
     
     return model