Update app.py

app.py

@@ -91,7 +91,7 @@ def predict(inputs, top_p, temperature, openai_api_key, chat_counter, chatbot=[]
 def reset_textbox():
     return gr.update(value='')
 
-title = """<h1 align="center">🔥ChatGPT API 🚀Streaming🚀</h1>"""
+title = """<h1 align="center">🔥ChatGPT API 🚀查特AI🚀</h1>"""
 description = """Language models can be conditioned to act like dialogue agents through a conversational prompt that typically takes the form:
 ```
 User: <utterance>
@@ -106,11 +106,11 @@ In this app, you can explore the outputs of a gpt-3.5-turbo LLM.
 with gr.Blocks(css = """#col_container {width: 700px; margin-left: auto; margin-right: auto;}
                 #chatbot {height: 400px; overflow: auto;}""") as demo:
     gr.HTML(title)
-    gr.HTML('''<center><a href="https://huggingface.co/spaces/ysharma/ChatGPTwithAPI?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space and run securely with your OpenAI API Key</center>''')
+    gr.HTML('''<center><a href="https://huggingface.co/spaces/ysharma/ChatGPTwithAPI?duplicate=true"></a>输入apike秘钥即可运行，如无秘钥可加微信号：visjia购买20元一个</center>''')
     with gr.Column(elem_id = "col_container"):
-        openai_api_key = gr.Textbox(type='password', label="Enter your OpenAI API key here")
-        chatbot = gr.Chatbot(elem_id='chatbot') #c
-        inputs = gr.Textbox(placeholder= "Hi there!", label= "Type an input and press Enter") #t
+        openai_api_key = gr.Textbox(type='password', label="在此处输入您的 OpenAI API 密钥")
+        chatbot = gr.Chatbot(elem_id='查特AI') #c
+        inputs = gr.Textbox(placeholder= "无所不知!", label= "输入你的问题并按 发送") #t
         state = gr.State([]) #s
         b1 = gr.Button()