app.py

import gradio as gr
from transformers import pipeline

text_generator = pipeline('text-generation', model='gpt2')

def generate_text(prompt):
    response = text_generator(prompt, max_length=50, num_return_sequences=2)
    return response[0]["generated_text"]

example_prompts = [
    ["The Earth is a big"],
    ["70% of the Earth is covered by"],
]

demo_interface = gr.Interface(
    fn=generate_text,
    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
    outputs=gr.outputs.Textbox(label="Generated Text"),
    examples=example_prompts
)

demo_interface.launch()