app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_name = "cahya/gpt2-small-indonesian-522M"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

def generate_response(prompt):
    input_ids = tokenizer.encode(prompt, return_tensors="pt")
    with torch.no_grad():
        output = model.generate(
            input_ids,
            max_length=80,
            do_sample=True,
            top_k=50,
            top_p=0.95,
            temperature=0.9,
            pad_token_id=tokenizer.eos_token_id
        )
    return tokenizer.decode(output[0], skip_special_tokens=True)

gr.Interface(
    fn=generate_response,
    inputs=gr.Textbox(lines=4, placeholder="Tulis rayuanmu di sini... 🤭"),
    outputs="text",
    title="🧠 AI Nakal Bahasa Indonesia",
    description="Powered by GPT-2 Indo — Coba tanya yang manja, romantis, atau... 🌚"
).launch()