app.py

import streamlit as st
from transformers import pipeline, set_seed

# Create a text2text-generation pipeline with the "google/flan-t5-base" model
text_generator = pipeline("text2text-generation", model="google/flan-t5-base")

st.title("Story Generator")

title = st.text_input("Title of the Story:")
character = st.text_input("Character (Hero) Name:")
era = st.selectbox("Era of the Story:", ["Medieval", "Modern", "Future"])
genre = st.selectbox("Genre:", ["Action", "Novelistic", "Love"])
ending = st.selectbox("Ending:", ["Happy", "Sad"])

if st.button("Generate Story"):
    if title and character:
        # Prepare a structured prompt for the story
        prompt = f"Write a {genre} story titled '{title}' set in the {era} era. The main character, {character}, faces a {genre} adventure. In the end, the story has a {ending} ending."
        
        # Generate the story
        set_seed(42)  # Set a seed for reproducibility
        full_story = text_generator(prompt, max_length=1000, do_sample=True)[0]["generated_text"]
        
        st.markdown(full_story)
    else:
        st.warning("Please provide a title and character name.")