Update app.py

app.py

@@ -15,11 +15,11 @@ torch.set_default_tensor_type('torch.cuda.FloatTensor')
 
 
 # Initialize the model and tokenizer
-model = AutoModelForCausalLM.from_pretrained("ManishThota/Sparrow",
+model = AutoModelForCausalLM.from_pretrained("ManishThota/SparrowVQE",
                                              torch_dtype=torch.float16, 
                                              device_map="auto",
                                              trust_remote_code=True)
-tokenizer = AutoTokenizer.from_pretrained("ManishThota/Sparrow", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("ManishThota/SparrowVQE", trust_remote_code=True)
 
 def predict_answer(image, question, max_tokens):
     #Set inputs