app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline("text-generation", model="isarth/distill_gpt2_story_generator")
# pipeline = pipeline("text-generation", model="tohur/natsumura-storytelling-rp-1.0-llama-3.1-8b")

def text_generate(input_text):
    result = pipeline(input_text)
    result = result[0]["generated_text"]
    return result

demo = gr.Interface(fn=text_generate, inputs="text", outputs="text")
demo.launch()