app.py

import streamlit as st
from transformers import pipeline

# Add a title
st.title('GPT Detection Demo')

# Add 4 options for 4 models
option = st.sidebar.selectbox(
    'Which pipeline do you want to use?',
    ('sentiment-analysis', 'ner', 'question-answering', 'text-generation'),
)

option2 = st.sidebar.selectbox(
    'Which model do you want to use?',
    ('gpt2', 'gpt2-medium', 'gpt2-large', 'gpt2-xl'),
)

pipe = pipeline(option)
text = st.text_area('Enter text here', '')

if st.button('Generate'):
    st.write(pipe(text)[0])