| import os | |
| import gradio as gr | |
| from transformers import pipeline | |
| auth_token = os.environ.get("access_token") | |
| pipeline_en = pipeline(task="text-classification", model="Hello-SimpleAI/chatgpt-qa-detector-distil",use_auth_token=auth_token) | |
| pipeline_en = pipeline(task="text-classification", model="Hello-SimpleAI/chatgpt-qa-detector-chinese",use_auth_token=auth_token) | |
| def predict_en(q,a): | |
| res = pipeline_en({"text":q, "text_pair":a}) | |
| return res['label'],res['score'] | |
| def predict_zh(q,a): | |
| res = pipeline_en({"text":q, "text_pair":a}) | |
| return res['label'],res['score'] | |
| with gr.Blocks() as demo: | |
| gr.Markdown(""" | |
| ## ChatGPT Detector 🔬 (QA version) | |
| Visit our project on Github: [chatgpt-comparison-detection project](https://github.com/Hello-SimpleAI/chatgpt-comparison-detection)<br> | |
| 欢迎在 Github 上关注我们的 [ChatGPT 对比与检测项目](https://github.com/Hello-SimpleAI/chatgpt-comparison-detection) | |
| This is the **QA version** detector, to detect whether an **answer** is generated by ChatGPT for certain **question**, using PLM-based classifiers.<br> | |
| 您现在使用的是**问答版**的检测器，用来判断某个问题的回答是否由ChatGPT生成，使用基于PTM的分类器来开发。 | |
| We also provide other two versions / 我们还提供了另外两种版本: | |
| - [Sinlge-text version / 独立文本版](https://huggingface.co/spaces/Hello-SimpleAI/chatgpt-detector-single): detect whether a piece of text is ChatGPT generated, using PLM-based classifiers / 判断单条文本是否由ChatGPT生成，使用基于PTM的分类器来开发; | |
| - [Linguistic version / 语言学版](https://huggingface.co/spaces/Hello-SimpleAI/chatgpt-detector-ling): detect whether a piece of text is ChatGPT generated, using linguistic features / 判断单条文本是否由ChatGPT生成，使用基于语言学特征的模型来开发; | |
| """) | |
| with gr.Tab("English"): | |
| gr.Markdown(""" | |
| Note: Providing more text to the `Answer` box can make the prediction more accurate! | |
| """) | |
| q1 = gr.Textbox(lines=2, label='Question',value="What stops a restaurant from noting down my credit card info and using it ? No offense to restaurants . Can be generalized to anyone who I give my credit card info to . Explain like I'm five.") | |
| a1 = gr.Textbox(lines=5, label='Answer',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') | |
| with gr.Tab("中文版"): | |
| gr.Markdown(""" | |
| 注意: 在`回答`栏中输入更多的文本，可以让预测更准确哦！ | |
| """) | |
| q2 = gr.Textbox(lines=2, label='问题',value="如何评价 OpenAI 的超级对话模型 ChatGPT ？") | |
| a2 = gr.Textbox(lines=5, label='回答',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') | |
| button1.click(predict_en, inputs=[q1,a1], outputs=[label1,score1]) | |
| button2.click(predict_zh, inputs=[q2,a2], outputs=[label2,score2]) | |
| demo.launch() |