Update app.py

app.py

@@ -2,28 +2,6 @@ import gradio as gr
 from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 import pytesseract
 
-
-# Load model directly
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-tokenizer = AutoTokenizer.from_pretrained("openai-community/gpt2")
-model = AutoModelForCausalLM.from_pretrained("openai-community/gpt2")
-# Use a pipeline as a high-level helper
-from transformers import pipeline
-
-messages = [
-    {"role": "user", "content": "Who are you?"},
-]
-pipe = pipeline("text-generation", model="meta-llama/Llama-3.3-70B-Instruct")
-pipe(messages)
-
-# Load model directly
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")
-model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.3-70B-Instruct")
-
-
 # Initialize chat model (You can change the model here)
 chat_model = pipeline("text-generation", model="gpt2")  # You can switch to any model of your choice