app.py

import gradio as gr
from transformers import pipeline

#generator = pipeline('text-generation', model='gpt2-xl')
generator = pipeline('text-generation', model='pranavpsv/gpt2-genre-story-generator')

def generate(text):
    result = generator(text, max_length=100, num_return_sequences=1)
    return result[0]["generated_text"]

examples = [
    ["<BOS> <sci_fi> After discovering time travel,"],
    ["<BOS> <superhero> Batman"],
    ["<BOS> <drama> Legolas and Gimli advanced on the orcs, raising their weapons with a harrowing war cry"],
]

demo = gr.Interface(
    fn=generate,
    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
    outputs=gr.outputs.Textbox(label="Generated Text"),
    examples=examples
)

demo.launch()