app.py

import gradio as gr
from transformers import pipeline

# Load the model from Hugging Face
model = pipeline("text-generation", model="pranavpsv/gpt2-genre-story-generator")

# Define a function to generate the story
def generate_story(prompt):
    result = model(prompt, max_length=100, num_return_sequences=1)
    return result[0]['generated_text']

# Define Gradio interface
description = "Story generation with GPT-2"
title = "Generate your own story"
examples = [["Adventurer is approached by a mysterious stranger in the tavern for a new quest."]]

interface = gr.Interface(
    fn=generate_story,
    inputs=gr.Textbox(lines=2, placeholder="Enter your story prompt here..."),
    outputs="text",
    description=description,
    title=title,
    examples=examples
)

interface.launch()