app.py

import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='wannaphong/mark3_aa')

def generate(text):
    return generator(text,max_new_tokens=124)[0]["generated_text"] # use yield from#result = generator(text, max_length=30, num_return_sequences=1)
    # return result[0]["generated_text"]  # type: ignore

examples = [
    ["The Moon's orbit around Earth has"],
    ["The smooth Borealis basin in the Northern Hemisphere covers 40%"],
]

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

demo.launch()