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import gradio as gr | |
from transformers import pipeline | |
# 直接加载 Hugging Face 模型 | |
classifier = pipeline("text-classification", model="bert-base-uncased") | |
def predict(text): | |
return classifier(text) | |
demo = gr.Interface( | |
fn=predict, | |
inputs=gr.Textbox(label="输入文本"), | |
outputs=gr.Label(label="分类结果"), | |
title="BERT 文本分类演示", | |
) | |
demo.launch() |