app.py

import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='pytorch_model.bin')

def generate(text):
    result = generator(text, max_length=30, num_return_sequences=1)
    return result[0]["generated_text"]

examples = [
    ["Today I'll be"],
    ["Why does the lying news media"],
    ["The democrats have"]
]

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()