Update app.py

app.py

@@ -140,7 +140,7 @@ def main():
 
     if ptuning_checkpoint is not None:
         print(f"Loading prefix_encoder weight from {ptuning_checkpoint}")
-        model = AutoModel.from_pretrained(model_args.model_name_or_path, config=config, trust_remote_code=True)
+        model = AutoModel.from_pretrained("THUDM/chatglm-6b", config=config, trust_remote_code=True)
         prefix_state_dict = torch.load(os.path.join(ptuning_checkpoint, "pytorch_model.bin"))
         new_prefix_state_dict = {}
         for k, v in prefix_state_dict.items():