Add app.py and requirements.py

app.py

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+import openai
+import json
+import os
+
+openai.api_key = os.getenv('API_KEY')
+
+def ask(question, history):
+    history = history + [question]
+    try:
+        response = openai.ChatCompletion.create(
+            model="gpt-3.5-turbo",
+            messages=[
+                {"role":"user" if i%2==0 else "assistant", "content":content}
+                for i,content in enumerate(history)
+            ]
+        )["choices"][0]["message"]["content"]
+        while response.startswith("\n"):
+            response = response[1:]
+    except Exception as e:
+        print(e)
+        response = 'Timeout! Please wait a few minutes and retry'
+    history = history + [response]
+    with open("dialogue.txt", "a", encoding='utf-8') as f:
+        f.write(json.dumps(history, ensure_ascii=False)+"\n")
+    return history
+
+
+
+import gradio as gr
+
+
+def predict(question, history=[]):
+    history = ask(question, history)
+    response = [(history[i].replace("\n","<br>"),history[i+1].replace("\n","<br>")) for i in range(0,len(history)-1,2)]
+    return "", history, response
+
+
+with gr.Blocks() as demo:
+    
+    examples = [
+        ['200字介绍一下凯旋门：'],
+        ['网上购物有什么小窍门？'],
+        ['补全下述对三亚的介绍：\n三亚位于海南岛的最南端，是'],
+        ['将这句文言文翻译成英语："逝者如斯夫，不舍昼夜。"'],
+        ['Question: What\'s the best winter resort city? User: A 10-year professional traveler. Answer: '],
+        ['How to help my child to make friends with his classmates? answer this question step by step:'],
+        ['polish the following statement for a paper: In this section, we perform case study to give a more intuitive demonstration of our proposed strategies and corresponding explanation.'],
+    ]
+    
+    gr.Markdown(
+        """
+        朋友你好，
+        
+        这是我利用[gradio](https://gradio.app/creating-a-chatbot/)编写的一个小网页，用于以网页的形式给大家分享ChatGPT请求服务，希望你玩的开心
+        
+        p.s. 响应时间和问题复杂程度相关，<del>一般能在10~20秒内出结果</del>用了新的api已经提速到大约5秒内了
+        """)
+
+    chatbot = gr.Chatbot()
+    state = gr.State([])
+    
+    with gr.Row():
+        txt = gr.Textbox(show_label=False, placeholder="Enter text and press enter").style(container=False)
+
+    txt.submit(predict, [txt, state], [txt, state, chatbot])
+    
+    with gr.Row():
+        gen = gr.Button("Submit")
+        clr = gr.Button("Clear")
+    
+    gen.click(fn=predict, inputs=[txt, state], outputs=[txt, state, chatbot])
+    
+    def clear(value):
+        return [], []
+    clr.click(clear, inputs=clr, outputs=[chatbot, state])
+    
+    gr_examples = gr.Examples(examples=examples, inputs=txt)
+
+demo.launch()

requirements.txt

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+openai==0.27.0