| 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() |