from transformers import AutoModelForCausalLM, AutoTokenizer
import gradio as gr

model_name = "Yuchan5386/NaturaAI-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)

iface = gr.Interface(fn=generate_text, inputs="text", outputs="text")

# API 엔드포인트 자동 생성
iface.launch(share=True)