app.py

import streamlit as st
from transformers import pipeline

# Load the model
qa_pipeline = pipeline("text-generation", model="EleutherAI/gpt-neo-125m")

# Streamlit interface
st.title("GPT-Neo 125M Q&A App")

# Example questions
example_questions = [
    "Who is Spider-Man?",
    "Who is Venom?",
    "Who is OpenAI?",
    "Who is Rocket Raccoon?"
]

st.subheader("Select an example question or type your own:")
selected_question = st.selectbox("Choose an example question", example_questions)
user_question = st.text_input("Or ask your own question:", value=selected_question)

# Generate answer
if user_question:
    with st.spinner('Generating answer...'):
        response = qa_pipeline(user_question, max_length=50)
        answer = response[0]['generated_text']
        st.write(answer)