Update app.py

app.py

@@ -77,7 +77,9 @@ def queryGPT(question):
 
 def generate_response(model,tokenizer, prompt, max_length=200):
     input_ids = tokenizer.encode(prompt, return_tensors="pt")      # 'pt' for returning pytorch tensor
-
+    #my_model = GPT2LMHeadModel.from_pretrained(model_output_path)
+    #my_tokenizer = GPT2Tokenizer.from_pretrained(model_output_path)
+    
     # Create the attention mask and pad token id
     attention_mask = torch.ones_like(input_ids)
     pad_token_id = tokenizer.eos_token_id
@@ -99,6 +101,6 @@ with gr.Blocks() as demo:
     btn = gr.Button(value="Submit")
     btn.click(queryGPT, inputs=[txt_input], outputs=[txt_output])
 if __name__ == "__main__":
-    prepareData()
-    fine_tune_gpt()
+    #prepareData()
+    #fine_tune_gpt()
     demo.launch()