updated app.py generate response function

app.py

@@ -5,15 +5,15 @@ from transformers import AutoModelWithLMHead, AutoTokenizer
 # Load model directly
 
 
-tokenizer = AutoTokenizer.from_pretrained("raghavdw/finedtuned_gpt2_medQA_model")
-model = AutoModelWithLMHead.from_pretrained("raghavdw/finedtuned_gpt2_medQA_model")
+loaded_tokenizer = AutoTokenizer.from_pretrained("raghavdw/finedtuned_gpt2_medQA_model")
+loaded_model = AutoModelWithLMHead.from_pretrained("raghavdw/finedtuned_gpt2_medQA_model")
 
 # Function for response generation
 
 def generate_query_response(prompt, max_length=200):
 
-    model = model
-    tokenizer = tokenizer
+    model = loaded_model
+    tokenizer = loaded_tokenizer
 
     input_ids = tokenizer.encode(prompt, return_tensors="pt")