app.py

import streamlit as st
from transformers import pipeline

pipe = pipeline(
    "text-generation", model="RickMartel/GPT2_FineTuned_By_Doc_RAND_v3", device="cpu"
)


txt = st.text_area('enter text of a biblical nature')

if txt:
    out = pipe(txt, num_return_sequences=1)[0]["generated_text"]
    st.json(out)