Removed trust_remote

app.py

@@ -10,10 +10,10 @@ import json
 deep_scc_model_args = ClassificationArgs(num_train_epochs=10,max_seq_length=300,use_multiprocessing=False)
 deep_scc_model = ClassificationModel("roberta", "NTUYG/DeepSCC-RoBERTa", num_labels=19, args=deep_scc_model_args, use_cuda=False)
 
-pragformer_config = PragFormerConfig.from_pretrained("Pragformer/PragFormer", trust_remote_code=True)
-pragformer = Pragformer.from_pretrained("Pragformer/PragFormer", config=pragformer_config, trust_remote_code=True)
-pragformer_private = Pragformer.from_pretrained("Pragformer/PragFormer_private", config=pragformer_config, trust_remote_code=True)
-pragformer_reduction = Pragformer.from_pretrained("Pragformer/PragFormer_reduction", config=pragformer_config, trust_remote_code=True)
+pragformer_config = PragFormerConfig.from_pretrained("Pragformer/PragFormer")
+pragformer = Pragformer.from_pretrained("Pragformer/PragFormer", config=pragformer_config)
+pragformer_private = Pragformer.from_pretrained("Pragformer/PragFormer_private", config=pragformer_config)
+pragformer_reduction = Pragformer.from_pretrained("Pragformer/PragFormer_reduction", config=pragformer_config)
 
 
 #Event Listeners
@@ -24,7 +24,7 @@ name_file = ['bash', 'c', 'c#', 'c++','css', 'haskell', 'java', 'javascript', 'l
 
 tokenizer = transformers.AutoTokenizer.from_pretrained('NTUYG/DeepSCC-RoBERTa')
 
-with open('./HF_Pragformer/c_data.json', 'r') as f:
+with open('./c_data.json', 'r') as f:
     data = json.load(f)
 
 def fill_code(code_pth):