Update app.py

app.py

@@ -6,12 +6,6 @@ import pytesseract
 chat_model = pipeline("text-generation", model="gpt2")  # You can switch to any model of your choice
 
 
-gr.load("models/meta-llama/Llama-3.3-70B-Instruct").launch()
-
-# Initialize LLaMA model for more advanced instruction-following tasks
-tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")
-model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")
-
 # Chat function
 def chat_fn(history, user_input):
     conversation = {"history": history, "user": user_input}