Update app.py

app.py

@@ -4,42 +4,49 @@ 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_zh 
-# pipeline_zh = pipeline(task="text2text-generation", model="beyond/genius-base-chinese")
+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(sketch):
-#   generated_text = pipeline_zh(sketch, num_beams=3, do_sample=True, max_length=200)[0]['generated_text']
-#   return generated_text.replace(' ','')
-    return ''
-  
- 
+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
+                ## 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"):
         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.")
-        label = gr.Textbox(lines=1, label='Predicted Label 🎃')
-        score = gr.Textbox(lines=1, label='Prob')
         button1 = gr.Button("🤖 Predict!")
-    # with gr.Tab("Chinese"):
-    #     input2 = gr.Textbox(lines=5, value="")
-    #     output2 = gr.Textbox(lines=5)
-    #     output2 = output2
-    #     button2 = gr.Button("Generate")
-
-    # with gr.Accordion("Open for More!"):
-    #     gr.Markdown("Look at me...")
+        label1 = gr.Textbox(lines=1, label='Predicted Label 🎃')
+        score1 = gr.Textbox(lines=1, label='Prob')
+    with gr.Tab("中文版"):
+        q2 = gr.Textbox(lines=2, label='问题',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.")
+        a2 = gr.Textbox(lines=5, label='回答',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.")
+        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])
+    button1.click(predict_zh, inputs=[q2,a2], outputs=[label2,score2])
 
-    button1.click(predict_en, inputs=[q1,a1], outputs=[label,score])
-    # button2.click(predict_zh, inputs=input2, outputs=output2)
 
 demo.launch()