app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

# Carrega o modelo e o tokenizer
model_name = "ytu-ce-cosmos/Turkish-Llama-8b-DPO-v0.1"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

def generate_text(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

# Cria a interface Gradio
interface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
interface.launch()