app.py

import gradio as gr
from transformers import pipeline

generator = pipeline('text-generation', model='mohsenfayyaz/mt5-small-query_realestate_cars-finetuned')

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

examples = [
    ["آپارتمان 100 متری توی پیروزی سه خواب"],
    ["شمع 206"],
]

demo = gr.Interface(
    fn=generate,
    inputs=gr.inputs.Textbox(lines=1, label="Input Text"),
    outputs=gr.outputs.Textbox(label="Generated Text"),
    examples=examples,
    cache_examples=True,
    title="Query Information Extraction Demo",
)

demo.launch()