app.py

import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='AlekseyKorshuk/pythia-1.4b-deduped-jokes')

def generate(text):
    result = generator(text, max_new_tokens=256, num_return_sequences=1, do_sample=True)
    return result[0]["generated_text"]

examples = [
    ["Two guys walk into a bar."],
    ["Why was the musician arrested?"],
]

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()