急速入门Prompt开发之跨国婚姻小助手

本文主要是介绍急速入门Prompt开发之跨国婚姻小助手，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

前言

整个活，同时分享技术~至于是啥活，懂得都懂，男孩子自强自尊自爱！！！
先看看实现效果吧：

那么这里的话，我们使用到的是国内的LLM，来自moonshot的大语言模型。那么废话不多少，快速开始吧。

MoonShot

现在我们来获取暗月之面的API，这里我们需要进入到开发平台：https://platform.moonshot.cn/console/info 这里你可能比较好奇，为什么使用这个LLM，实际上，是因为综合体验下来，它的中文效果较好，可以完成较为复杂的操作，相对于3.5或者其他模型来说。同时价格在能够接受的合理范围，当然，在我们接下来使用的中转站当中也可以直接使用GPT4.0但是使用成本将大大提升！

进入平台之后，按照平台提示即可完成创建，当然这里注意，免费用户有15元钱的token，但是存在并发限制，因此建议适开通付费提高并发量。

编写提示词

那么首先的话，我们来开始编写到提示词，这个非常简单：

# initalize the config of chatbot
api_key = "sk-FGivAMvTnxPSWlp7HrGfDD"
openai_api_base = "https://api.moonshot.cn/v1"
system_prompt = "你是跨国婚姻法律小助手，小汐，负责回答用户关于跨国婚姻的问题。你的回答要清晰明了，有逻辑性和条理性。请使用中文回答。"
default_model = "moonshot-v1-8k"
temperature = 0.5

对接模型

编写完毕提示词之后，这还远远不够，我们需要对接模型，这里的话因为接口是按照openai的范式来的，所以的话我们直接用OpenAI这个库就好了。

然后看到下面的代码：

client = OpenAI(api_key=api_key,base_url=openai_api_base)
class ChatBotHandler(object):def __init__(self, bot_name="chat"):self.bot_name = bot_nameself.current_message = Nonedef user_stream(self,user_message, history):self.current_message = user_messagereturn "", history + [[user_message, None]]def bot_stream(self,history):if(len(history)==0):history.append([self.current_message,None])bot_message = self.getResponse(history[-1][0],history)history[-1][1] = ""for character in bot_message:history[-1][1] += charactertime.sleep(0.02)yield historydef signChat(self,history):history_openai_format = []# 先加入系统信息history_openai_format.append({"role": "system","content": system_prompt},)# 再加入解析信息history_openai_format.extend(history)# print(history_openai_format)completion = client.chat.completions.create(model=default_model,messages=history_openai_format,temperature=temperature,)result = completion.choices[0].message.contentreturn resultdef getResponse(self,message,history):history_openai_format = []for human, assistant in history:# 基础对话的系统设置history_openai_format.append({"role": "system","content":system_prompt},)if(human!=None):history_openai_format.append({"role": "user", "content": human})if(assistant!=None):history_openai_format.append({"role": "assistant", "content": assistant})completion = client.chat.completions.create(model=default_model,messages=history_openai_format,temperature=temperature,)result = completion.choices[0].message.contentreturn resultdef chat(self,message, history):history_openai_format = []for human, assistant in history:history_openai_format.append({"role": "user", "content": human})history_openai_format.append({"role": "system", "content": assistant})history_openai_format.append({"role": "user", "content": message})response = client.chat.completions.create(model=default_model,messages=history_openai_format,temperature=1.0,stream=True)partial_message = ""for chunk in response:if chunk.choices[0].delta.content is not None:partial_message = partial_message + chunk.choices[0].delta.contentyield partial_message

WebUI编写

之后的话，就是提供webUI,这里的话还是直接使用到了streamlit

class AssistantNovel(object):def __init__(self):self.chat = ChatBotHandler()def get_response(self,prompt, history):return self.chat.signChat(history)def clear_chat_history(self):st.session_state.messages = [{"role": "assistant", "content": "🍭🍡你好！我是跨国婚姻小助手，您可以咨询我关于这方面的任何法律问题🧐"}]def chat_fn(self):prompt = st.session_state.get("prompt-input")st.session_state.messages.append({"role": "user", "content": prompt})# 此时进入回答with self.con:with st.spinner("Thinking..."):try:response = self.get_response(prompt, st.session_state.messages)except Exception as e:print(e)response = "哦┗|｀O′|┛ 嗷~~，出错了，您的请求太频繁，请稍后再试！😥"message = {"role": "assistant", "content": response}st.session_state.messages.append(message)def page(self):if "messages" not in st.session_state.keys():st.session_state.messages = [{"role": "assistant", "content": "🍭🍡你好！我是跨国婚姻小助手，您可以咨询我关于这方面的任何法律问题🧐"}]# 加载历史聊天记录,对最后一条记录进行特殊处理for message in st.session_state.messages:if message != st.session_state.messages[-1]:with st.chat_message(message["role"]):st.write(message["content"])else:placeholder = st.empty()full_response = ''for item in message["content"]:full_response += itemtime.sleep(0.01)placeholder.markdown(full_response)placeholder.markdown(full_response)# 主聊天对话窗口self.con  = st.container()with self.con:prompt = st.chat_input(placeholder="请输入对话",key="prompt-input",on_submit=self.chat_fn)st.button('清空历史对话', on_click=self.clear_chat_history)

完整代码

okey,最后还是直接看到完整代码吧：

"""
@FileName：layer.py
@Author：Huterox
@Description：Go For It
@Time：2024/5/5 13:49
@Copyright：©2018-2024 awesome!
"""#initialization the third-part model
import time
import streamlit as st
from openai import OpenAI
#finished the initialization# initalize the config of chatbot
api_key = "sk-FGivAMvdHnrqUwzZp29mD"
openai_api_base = "https://api.moonshot.cn/v1"
system_prompt = "你是跨国婚姻法律小助手，小汐，负责回答用户关于跨国婚姻的问题。你的回答要清晰明了，有逻辑性和条理性。请使用中文回答。"
default_model = "moonshot-v1-8k"
temperature = 0.5client = OpenAI(api_key=api_key,base_url=openai_api_base)
class ChatBotHandler(object):def __init__(self, bot_name="chat"):self.bot_name = bot_nameself.current_message = Nonedef user_stream(self,user_message, history):self.current_message = user_messagereturn "", history + [[user_message, None]]def bot_stream(self,history):if(len(history)==0):history.append([self.current_message,None])bot_message = self.getResponse(history[-1][0],history)history[-1][1] = ""for character in bot_message:history[-1][1] += charactertime.sleep(0.02)yield historydef signChat(self,history):history_openai_format = []# 先加入系统信息history_openai_format.append({"role": "system","content": system_prompt},)# 再加入解析信息history_openai_format.extend(history)# print(history_openai_format)completion = client.chat.completions.create(model=default_model,messages=history_openai_format,temperature=temperature,)result = completion.choices[0].message.contentreturn resultdef getResponse(self,message,history):history_openai_format = []for human, assistant in history:# 基础对话的系统设置history_openai_format.append({"role": "system","content":system_prompt},)if(human!=None):history_openai_format.append({"role": "user", "content": human})if(assistant!=None):history_openai_format.append({"role": "assistant", "content": assistant})completion = client.chat.completions.create(model=default_model,messages=history_openai_format,temperature=temperature,)result = completion.choices[0].message.contentreturn resultdef chat(self,message, history):history_openai_format = []for human, assistant in history:history_openai_format.append({"role": "user", "content": human})history_openai_format.append({"role": "system", "content": assistant})history_openai_format.append({"role": "user", "content": message})response = client.chat.completions.create(model=default_model,messages=history_openai_format,temperature=1.0,stream=True)partial_message = ""for chunk in response:if chunk.choices[0].delta.content is not None:partial_message = partial_message + chunk.choices[0].delta.contentyield partial_messageclass AssistantNovel(object):def __init__(self):self.chat = ChatBotHandler()def get_response(self,prompt, history):return self.chat.signChat(history)def clear_chat_history(self):st.session_state.messages = [{"role": "assistant", "content": "🍭🍡你好！我是跨国婚姻小助手，您可以咨询我关于这方面的任何法律问题🧐"}]def chat_fn(self):prompt = st.session_state.get("prompt-input")st.session_state.messages.append({"role": "user", "content": prompt})# 此时进入回答with self.con:with st.spinner("Thinking..."):try:response = self.get_response(prompt, st.session_state.messages)except Exception as e:print(e)response = "哦┗|｀O′|┛ 嗷~~，出错了，您的请求太频繁，请稍后再试！😥"message = {"role": "assistant", "content": response}st.session_state.messages.append(message)def page(self):if "messages" not in st.session_state.keys():st.session_state.messages = [{"role": "assistant", "content": "🍭🍡你好！我是跨国婚姻小助手，您可以咨询我关于这方面的任何法律问题🧐"}]# 加载历史聊天记录,对最后一条记录进行特殊处理for message in st.session_state.messages:if message != st.session_state.messages[-1]:with st.chat_message(message["role"]):st.write(message["content"])else:placeholder = st.empty()full_response = ''for item in message["content"]:full_response += itemtime.sleep(0.01)placeholder.markdown(full_response)placeholder.markdown(full_response)# 主聊天对话窗口self.con  = st.container()with self.con:prompt = st.chat_input(placeholder="请输入对话",key="prompt-input",on_submit=self.chat_fn)st.button('清空历史对话', on_click=self.clear_chat_history)if __name__ == '__main__':st.set_page_config(page_title="跨国婚姻法律小助手",page_icon="🤖",layout="wide",initial_sidebar_state="auto",)a,b,c = st.columns([1,2,1])with b:assistant = AssistantNovel()assistant.page()

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