app.py

from transformers import pipeline
import gradio as gr
import os

# 1. 建立情緒分析管線
sent_cls = pipeline(
    task="sentiment-analysis",
    model="uer/roberta-base-finetuned-jd-binary-chinese"  # 雙分類
)

# 2. 推論函式
def classify(text: str):
    if not text.strip():
        return {"error": "請輸入文字"}
    res = sent_cls(text)[0]
    return {"label": res["label"], "score": round(res["score"], 4)}

# 3. Gradio 介面
demo = gr.Interface(
    fn=classify,
    inputs=gr.Textbox(lines=4, placeholder="輸入評論…"),
    outputs="json",
    title="中文情緒分析 Demo",
    description="RoBERTa 中文二分類情緒分析（positive/negative）"
)

if __name__ == "__main__":
    # localhost:7860 預覽
    demo.launch(share=True)