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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)
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