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

# 모델과 토크나이저 로드
tokenizer = AutoTokenizer.from_pretrained("matthewburke/korean_sentiment")
model = AutoModelForSequenceClassification.from_pretrained("matthewburke/korean_sentiment")

# 예측 함수 정의
def predict_sentiment(text):
    inputs = tokenizer(text, return_tensors="pt")
    outputs = model(**inputs)
    prediction = torch.argmax(outputs.logits, dim=-1)
    labels = ["Negative", "Neutral", "Positive"]
    return labels[prediction]

# Gradio 인터페이스 정의
interface = gr.Interface(fn=predict_sentiment, inputs="text", outputs="text")
interface.launch()