Create app.py

app.py

@@ -0,0 +1,44 @@
+import gradio as gr
+from transformers import pipeline
+
+auth_token = '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'
+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")
+
+
+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 ''
+  
+ 
+
+
+with gr.Blocks() as demo:
+    gr.Markdown("""
+                ## ChatGPT detector
+                """)
+    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")
+        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...")
+
+    button1.click(predict_en, inputs=[q1,a1], outputs=[label,score])
+    # button2.click(predict_zh, inputs=input2, outputs=output2)
+
+demo.launch()