app.py

import os
import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline

hf_token = os.environ["HF_TOKEN"]
model_name = "melyssa08/model_collapse_generation_0"

tokenizer = AutoTokenizer.from_pretrained(model_name, token=hf_token)
model = AutoModelForCausalLM.from_pretrained(model_name, token=hf_token)
generator = pipeline("text-generation", model=model, tokenizer=tokenizer)

def gerar_texto(texto):
    result = generator(texto, max_length=50, num_return_sequences=1)
    return result[0]["generated_text"]

# Criar Blocks
with gr.Blocks() as demo:
    input_text = gr.Textbox(label="Digite seu texto")
    output_text = gr.Textbox(label="Texto gerado")
    gr.Button("Gerar").click(gerar_texto, input_text, output_text)

# Expor API POST JSON
demo.launch(server_name="0.0.0.0", server_port=7860, share=True)