# Import the required libraries
import streamlit as st
from transformers import pipeline

# Create a calculator function using the Llama model
def calculator(expression):
  # Initialize the Llama model from Hugging Face
  model = pipeline("text2text-generation", model="EleutherAI/llama")
  # Generate the answer using the model
  answer = model(expression)[0]["generated_text"]
  # Return the answer
  return answer

# Create a Streamlit app to display the calculator
st.title("Calculator using Llama model")
# Get the user input
expression = st.text_input("Enter an expression to calculate:")
# Check if the input is not empty
if expression:
  # Call the calculator function and display the answer
  answer = calculator(expression)
  st.write(f"The answer is: {answer}")