app.py

import gradio as gr
from transformers import pipeline

# Load the story generation pipeline
generator = pipeline("text-generation", model="gpt2", max_length=200)

def generate_story(moral):
    prompt = f"The moral of the story is: {moral}. Here's the story:"
    story = generator(prompt, max_length=200, num_return_sequences=1)[0]['generated_text']
    return story

# Create a Gradio interface
iface = gr.Interface(
    fn=generate_story,
    inputs=gr.Textbox(label="Enter the moral of the story"),
    outputs=gr.Textbox(label="Generated Story"),
    title="Moral to Story Generator",
    description="Input a moral, and this app will generate a story based on it using AI."
)

iface.launch()