app.py

import gradio as gr
from transformers import pipeline

# Load the pipeline
pipe = pipeline("text-generation", model="bigscience/bloom-560m")

# Define a function to generate text using the pipeline
def generate_text(prompt):
    generated_text = pipe(prompt, max_length=100)[0]['generated_text']
    return generated_text

# Create a Gradio interface
interface = gr.Interface(
    fn=generate_text,
    inputs=gr.Textbox("text", label="Digite seu texto aqui:", lines=5),
    outputs=gr.Textbox("text", label="Texto Gerado:")
)

# Incluir texto em português para a interface
interface.launch()