Update app.py

app.py

@@ -2,15 +2,13 @@ import streamlit as st
 import torch
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-hf_token = st.secrets["TOKEN"]
-
 # Load the fine-tuned model and tokenizer
 model_repo_path = 'sabssag/Code-T5'
 model = AutoModelForSeq2SeqLM.from_pretrained(model_repo_path)
 tokenizer = AutoTokenizer.from_pretrained(model_repo_path)
 
 # Function to generate Python code from LaTeX expression
-def generate_code_from_latex(latex_expression, max_length=256):
+def generate_code(latex_expression, max_length=256):
     inputs = tokenizer(f"Latex Expression: {latex_expression} Solution:", return_tensors="pt").to(model.device)
     
     # Generate the output