app.py

import streamlit as st
from transformers import pipeline

# Load the text generation pipeline
generator = pipeline("text-generation")

def generate_bedtime_story(name, interests, friends, age):
    story_prompt = f"I want to tell a bed time story to a child named {name}. I want the story to revolve around some of {name}'s main interests, which are {interests}. I also want the story to include some of {name}'s friends, who are called: {friends}. Make sure the story is suitable for a child of the age {age}." 
    story = generator(story_prompt, max_length=1000)[0]['generated_text']
    return story

def main():
    st.title("Bedtime Story Generator")

    name = st.text_input("Enter the name of the person you're reading to:")
    age = st.text_input("Enter the age of the person you're reading to:")
    interests = st.text_input("Enter some of things the person is interested in:")
    friends = st.text_input("Enter the names of some of their friends:")

    if st.button("Generate Story"):
        if name and interests and friends and age:
            story = generate_bedtime_story(name, interests, age, friends.split(","))
            st.write(story)
        else:
            st.warning("Please fill in all the inputs.")

if __name__ == "__main__":
    main()