app.py

# Load model directly
import streamlit as st
import transformers

st.title("A Simple Interface for a Language Model")

st.subheader("Input Text")
input_text = st.text_area("Enter your text here", "Type something here...")

if st.button("Generate Response"):
    # Initialize tokenizer and model
    tokenizer = transformers.AutoTokenizer.from_pretrained("microsoft/phi-2")
    model = transformers.AutoModelForCausalLM.from_pretrained("microsoft/phi-2")

    # Encode input text
    inputs = tokenizer(input_text, return_tensors="pt")

    # Generate response
    response = model.generate(**inputs, max_length=100, do_sample=True)

    # Decode response
    st.subheader("Generated Response")
    st.write(tokenizer.decode(response[0]))