Create Streamlit.Py

Streamlit.Py

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+# 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}")
+