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| import os | |
| import gradio as gr | |
| from transformers import pipeline | |
| pipeline_en = pipeline(task="text-classification", model="Hello-SimpleAI/chatgpt-detector-roberta") | |
| pipeline_zh = pipeline(task="text-classification", model="Hello-SimpleAI/chatgpt-detector-roberta-chinese") | |
| def predict_en(text): | |
| res = pipeline_en(text)[0] | |
| return res['label'],res['score'] | |
| def predict_zh(text): | |
| res = pipeline_zh(text)[0] | |
| return res['label'],res['score'] | |
| with gr.Blocks() as demo: | |
| gr.Markdown(""" | |
| ## 🔬🔬🔬 | |
| """) | |
| with gr.Tab("中文版"): | |
| gr.Markdown(""" | |
| 注意: 在`文本`栏中输入更多的文本，可以让预测更准确哦！ | |
| """) | |
| t2 = gr.Textbox(lines=5, label='文本',value="对于OpenAI大力出奇迹的工作，自然每个人都有自己的看点。我自己最欣赏的地方是ChatGPT如何解决 “AI校正(Alignment)“这个问题。这个问题也是我们课题组这两年在探索的学术问题之一。") | |
| button2 = gr.Button("🤖 预测!") | |
| label2 = gr.Textbox(lines=1, label='预测结果 🎃') | |
| score2 = gr.Textbox(lines=1, label='模型概率') | |
| with gr.Tab("English"): | |
| gr.Markdown(""" | |
| Note: Providing more text to the `Text` box can make the prediction more accurate! | |
| """) | |
| t1 = gr.Textbox(lines=5, label='Text',value="There are a few things that can help protect your credit card information from being misused when you give it to a restaurant or any other business:\n\nEncryption: Many businesses use encryption to protect your credit card information when it is being transmitted or stored. This means that the information is transformed into a code that is difficult for anyone to read without the right key.") | |
| button1 = gr.Button("🤖 Predict!") | |
| label1 = gr.Textbox(lines=1, label='Predicted Label 🎃') | |
| score1 = gr.Textbox(lines=1, label='Prob') | |
| button1.click(predict_en, inputs=[t1], outputs=[label1,score1], api_name='predict_en') | |
| button2.click(predict_zh, inputs=[t2], outputs=[label2,score2], api_name='predict_zh') | |
| demo.launch() |