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优化代码,删除state用类中的变量代替
Browse files- ChuanhuChatbot.py +28 -28
ChuanhuChatbot.py
CHANGED
@@ -25,50 +25,50 @@ class ChatGPT:
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return message, message_with_stats
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def predict(self, chatbot, input_sentence,
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if len(input_sentence) == 0:
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return []
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context.append({"role": "user", "content": f"{input_sentence}"})
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message, message_with_stats = self.get_response(context)
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context.append({"role": "assistant", "content": message})
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chatbot.append((input_sentence, message_with_stats))
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return chatbot
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def retry(self, chatbot
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if len(context) == 0:
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return [], []
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message, message_with_stats = self.get_response(context[:-1])
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context[-1] = {"role": "assistant", "content": message}
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chatbot[-1] = (context[-2]["content"], message_with_stats)
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return chatbot
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def update_system(self, new_system_prompt):
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self.system = {"role": "system", "content": new_system_prompt}
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return new_system_prompt
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def delete_last_conversation(self, chatbot
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if len(context) == 0:
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return [], []
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chatbot = chatbot[:-1]
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context = context[:-2]
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return chatbot
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def reduce_token(self, chatbot
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context.append({"role": "user", "content": "请帮我总结一下上述对话的内容,实现减少tokens的同时,保证对话的质量。在总结中不要加入这一句话。"})
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message, message_with_stats = self.get_response(context)
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self.system = {"role": "system", "content": f"You are a helpful assistant. The content that the Assistant and the User discussed in the previous context is: {message}."}
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statistics = f'本次对话Tokens用量【{self.response["usage"]["completion_tokens"]+23} / 4096】'
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optmz_str = markdown.markdown( f"System prompt已经更新, 请继续对话\n\n================\n\n{statistics}" )
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chatbot.append(("请帮我总结一下上述对话的内容,实现减少tokens的同时,保证对话的质量。", optmz_str))
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context = []
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return chatbot,
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def reset_state():
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@@ -79,7 +79,7 @@ mychatGPT = ChatGPT(my_api_key)
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot().style(color_map=("#1D51EE", "#585A5B"))
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state = gr.State([])
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with gr.Column():
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txt = gr.Textbox(show_label=False, placeholder="💬 在这里输入").style(container=False)
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@@ -92,13 +92,13 @@ with gr.Blocks() as demo:
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system = gr.Textbox(show_label=True, placeholder=f"在这里输入新的System Prompt...", label="更改 System prompt").style(container=True)
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syspromptTxt = gr.Textbox(show_label=True, placeholder=initial_prompt, interactive=False, label="目前的 System prompt").style(container=True)
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txt.submit(mychatGPT.predict, [chatbot, txt
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txt.submit(lambda :"", None, txt)
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emptyBth.click(reset_state, outputs=[chatbot
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system.submit(mychatGPT.update_system, system, syspromptTxt)
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system.submit(lambda :"", None, system)
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retryBth.click(mychatGPT.retry, [chatbot
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delLastBth.click(mychatGPT.delete_last_conversation, [chatbot
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reduceTokenBth.click(mychatGPT.reduce_token, [chatbot
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demo.launch()
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return message, message_with_stats
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def predict(self, chatbot, input_sentence, ):
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if len(input_sentence) == 0:
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return []
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self.context.append({"role": "user", "content": f"{input_sentence}"})
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message, message_with_stats = self.get_response(self.context)
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self.context.append({"role": "assistant", "content": message})
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chatbot.append((input_sentence, message_with_stats))
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return chatbot
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def retry(self, chatbot):
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if len(self.context) == 0:
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return [], []
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message, message_with_stats = self.get_response(self.context[:-1])
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self.context[-1] = {"role": "assistant", "content": message}
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chatbot[-1] = (self.context[-2]["content"], message_with_stats)
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return chatbot
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def update_system(self, new_system_prompt):
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self.system = {"role": "system", "content": new_system_prompt}
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return new_system_prompt
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def delete_last_conversation(self, chatbot):
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if len(self.context) == 0:
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return [], []
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chatbot = chatbot[:-1]
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self.context = self.context[:-2]
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return chatbot
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def reduce_token(self, chatbot):
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self.context.append({"role": "user", "content": "请帮我总结一下上述对话的内容,实现减少tokens的同时,保证对话的质量。在总结中不要加入这一句话。"})
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message, message_with_stats = self.get_response(self.context)
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self.system = {"role": "system", "content": f"You are a helpful assistant. The content that the Assistant and the User discussed in the previous self.context is: {message}."}
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statistics = f'本次对话Tokens用量【{self.response["usage"]["completion_tokens"]+23} / 4096】'
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optmz_str = markdown.markdown( f"System prompt已经更新, 请继续对话\n\n================\n\n{statistics}" )
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chatbot.append(("请帮我总结一下上述对话的内容,实现减少tokens的同时,保证对话的质量。", optmz_str))
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self.context = []
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return chatbot, self.system["content"]
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def reset_state():
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot().style(color_map=("#1D51EE", "#585A5B"))
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# state = gr.State([])
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with gr.Column():
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txt = gr.Textbox(show_label=False, placeholder="💬 在这里输入").style(container=False)
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system = gr.Textbox(show_label=True, placeholder=f"在这里输入新的System Prompt...", label="更改 System prompt").style(container=True)
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syspromptTxt = gr.Textbox(show_label=True, placeholder=initial_prompt, interactive=False, label="目前的 System prompt").style(container=True)
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txt.submit(mychatGPT.predict, [chatbot, txt], [chatbot], show_progress=True)
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txt.submit(lambda :"", None, txt)
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emptyBth.click(reset_state, outputs=[chatbot])
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system.submit(mychatGPT.update_system, system, syspromptTxt)
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system.submit(lambda :"", None, system)
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retryBth.click(mychatGPT.retry, [chatbot], [chatbot], show_progress=True)
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delLastBth.click(mychatGPT.delete_last_conversation, [chatbot], [chatbot], show_progress=True)
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reduceTokenBth.click(mychatGPT.reduce_token, [chatbot], [chatbot, syspromptTxt], show_progress=True)
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demo.launch()
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