app.py

import gradio as gr
from transformers import pipeline

# 加载 Hugging Face 的预训练文本分类模型
classifier = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")

# 定义预测函数
def predict(text):
    result = classifier(text)
    return f"Sentiment: {result[0]['label']} (Confidence: {result[0]['score']:.4f})"

# 创建 Gradio 界面
iface = gr.Interface(
    fn=predict,
    inputs=gr.Textbox(lines=2, placeholder="Enter text to classify..."),
    outputs="text",
    title="Text Sentiment Classifier",
    description="Enter a sentence to predict its sentiment using a pre-trained model."
)



# 启动 Gradio 应用
iface.launch()