DeepSeek 聊天机器人项目
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一、为 DeepSeek Chatbot 准备零件
项目演示
输入提示词：
- Who are you?
- How to develop a chatbot?
环境准备
前端语言使用 HTML CSS JS
后端语言使用 Python https://www.python.org/
编辑器使用 VS Code https://code.visualstudio.com/
项目搭建
安装 Flask 库 pip install Flask
deepseek-chatbot/app.py
from flask import Flask, render_template
# 创建一个 Flask 应用实例
app = Flask(__name__)
# 定义一个路由和视图函数
@app.route('/')
def home():
return render_template("index.html")
# 运行应用
if __name__ == '__main__':
app.run(debug=True)
deepseek-chatbot/templates/index.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Chatbot</title>
<link rel="stylesheet" href="/static/index.css">
</head>
<body>
<h1></h1>
<script src="/static/index.js"></script>
</body>
</html>
deepseek-chatbot/static/index.css
h1 {
text-align: center;
}
deepseek-chatbot/static/index.js
console.log(123);
二、给 DeepSeek Chatbot 美化界面
deepseek-chatbot/templates/index.html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Chatbot</title>
<link rel="stylesheet" href="/static/index.css">
</head>
<body>
<h1></h1>
<div class="chat">
<div class="chat-content">
<!-- <div class="user-message">introduce yourself</div>
<pre
class="robot-message">Hello! I’m an AI language model created to assist with answering questions, providing information, brainstorming ideas, and helping with various tasks. I don’t have personal experiences or emotions, but I’m here to help you with whatever you need. Feel free to ask me anything—whether it’s about science, history, writing, or just casual conversation. How can I assist you today? </pre>
<div class="user-message">introduce yourself</div>
<pre
class="robot-message">Hello! I’m an AI language model created to assist with answering questions, providing information, brainstorming ideas, and helping with various tasks. I don’t have personal experiences or emotions, but I’m here to help you with whatever you need. Feel free to ask me anything—whether it’s about science, history, writing, or just casual conversation. How can I assist you today? </pre>
<div class="user-message">introduce yourself</div>
<pre
class="robot-message">Hello! I’m an AI language model created to assist with answering questions, providing information, brainstorming ideas, and helping with various tasks. I don’t have personal experiences or emotions, but I’m here to help you with whatever you need. Feel free to ask me anything—whether it’s about science, history, writing, or just casual conversation. How can I assist you today? </pre>
<div class="user-message">introduce yourself</div>
<pre
class="robot-message">Hello! I’m an AI language model created to assist with answering questions, providing information, brainstorming ideas, and helping with various tasks. I don’t have personal experiences or emotions, but I’m here to help you with whatever you need. Feel free to ask me anything—whether it’s about science, history, writing, or just casual conversation. How can I assist you today? </pre> -->
</div>
<div class="chat-form">
<input type="text" id="user-message-ipt">
<button id="send-btn">Send</button>
</div>
</div>
<script src="/static/index.js"></script>
</body>
</html>
deepseek-chatbot/static/index.css
h1 {
text-align: center;
}
.chat {
max-width: 600px;
margin: 0 auto;
border: 1px solid #ccc;
background-color: #f9f9f9;
}
.chat-content {
padding: 20px;
height: 400px;
overflow-y: scroll;
}
.chat-content .user-message {
text-align: right;
}
.chat-content .robot-message {
white-space: pre-wrap;
}
.chat-form {
padding: 10px;
display: flex;
}
.chat-form input {
flex-grow: 1;
padding: 5px;
border: 1px solid #ccc;
margin-right: 10px;
}
.chat-form button {
flex-grow: 0;
padding: 5px 10px;
border: 1px solid #ccc;
cursor: pointer;
}
deepseek-chatbot/static/index.js
console.log(123);
window.onload = () => {
const chatContent = document.querySelector('.chat-content')
const userMessageIpt = document.querySelector('#user-message-ipt')
const sendBtn = document.querySelector('#send-btn')
sendBtn.onclick = () => {
const userMessage = userMessageIpt.value
// <div class="user-message">introduce yourself</div>
const userMessageDiv = document.createElement('div')
userMessageDiv.className = 'user-message'
userMessageDiv.textContent = userMessage
chatContent.append(userMessageDiv)
// <pre class="robot-message">Hello! I’m an AI language model created to assist with answering questions, providing information, brainstorming ideas, and helping with various tasks. I don’t have personal experiences or emotions, but I’m here to help you with whatever you need. Feel free to ask me anything—whether it’s about science, history, writing, or just casual conversation. How can I assist you today? </pre>
const robotMessagePre = document.createElement('pre')
robotMessagePre.className = 'robot-message'
robotMessagePre.textContent = "I'm a robot!"
chatContent.append(robotMessagePre)
}
}
三、教 DeepSeek Chatbot 会话补全
会话补全接口
https://api-docs.deepseek.com/zh-cn/api/create-chat-completion
错误码
https://api-docs.deepseek.com/zh-cn/quick_start/error_codes
模型 & 价格
https://api-docs.deepseek.com/zh-cn/quick_start/pricing
deepseek-chatbot/static/index.js
console.log(123);
window.onload = () => {
const chatContent = document.querySelector('.chat-content')
const userMessageIpt = document.querySelector('#user-message-ipt')
const sendBtn = document.querySelector('#send-btn')
sendBtn.onclick = () => {
const userMessage = userMessageIpt.value
// <div class="user-message">introduce yourself</div>
const userMessageDiv = document.createElement('div')
userMessageDiv.className = 'user-message'
userMessageDiv.textContent = userMessage
chatContent.append(userMessageDiv)
// <pre class="robot-message">Hello! I’m an AI language model created to assist with answering questions, providing information, brainstorming ideas, and helping with various tasks. I don’t have personal experiences or emotions, but I’m here to help you with whatever you need. Feel free to ask me anything—whether it’s about science, history, writing, or just casual conversation. How can I assist you today? </pre>
// const robotMessagePre = document.createElement('pre')
// robotMessagePre.className = 'robot-message'
// robotMessagePre.textContent = "I'm a robot!"
// chatContent.append(robotMessagePre)
// 服务端接口：http://127.0.0.1/api/chat
// 请求方法：POST
// 请求体：{"user_message": "Hi"}
// 响应体：{"robot_message": "Hello"}
fetch('/api/chat', {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ "user_message": userMessage })
})
.then(response => response.json())
.then(data => {
const robotMessagePre = document.createElement('pre')
robotMessagePre.className = 'robot-message'
robotMessagePre.textContent = data['robot_message']
chatContent.append(robotMessagePre)
})
}
}
deepseek-chatbot/app.py
from flask import Flask, render_template, request
import requests
import json
app = Flask(__name__)
@app.route('/')
def home():
return render_template("index.html")
@app.route('/api/chat', methods=['POST'])
def api_chat():
user_message = request.json.get('user_message')
url = "https://api.deepseek.com/chat/completions"
payload = json.dumps({
"messages": [
{
"content": user_message,
"role": "user"
}
],
"model": "deepseek-chat",
"n": 1
})
headers = {
'Content-Type': 'application/json',
'Accept': 'application/json',
'Authorization': 'Bearer sk-ca3371d655c3431397022c8cee313788'
}
response = requests.request("POST", url, headers=headers, data=payload)
robot_message = response.json()['choices'][0]['message']['content']
return {"robot_message": robot_message}
if __name__ == '__main__':
app.run(debug=True, port=80)
deepseek-chatbot/test.py
安装 requests 库 pip install requests
import requests
import json
url = "https://api.deepseek.com/chat/completions"
payload = json.dumps({
"messages": [
{
"content": "Hi",
"role": "user"
}
],
"model": "deepseek-chat",
"n": 1
})
headers = {
'Content-Type': 'application/json',
'Accept': 'application/json',
'Authorization': 'Bearer sk-ca3371d655c3431397022c8cee313788'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.status_code)
print(response.text)
robot_message = response.json()['choices'][0]['message']['content']
print(robot_message)
四、学 DeepSeek 流式 API
Server-sent events 服务器发送事件
https://developer.mozilla.org/zh-CN/docs/Web/API/Server-sent_events/Using_server-sent_events
deepseek-chatbot/app.py
from flask import Flask, render_template, request, Response
import requests
import json
app = Flask(__name__)
@app.route('/')
def home():
return render_template("index.html")
@app.route('/api/chat', methods=['POST'])
def api_chat():
user_message = request.json.get('user_message')
url = "https://api.deepseek.com/chat/completions"
payload = json.dumps({
"messages": [
# {
# "content": "You are a software developer",
# "role": "system"
# },
{
"content": user_message, # Hello! How can I assist you today?
"role": "user" # 你好！很高兴见到你。你今天想学些什么中文呢？
} # Hello! How can I assist you today? Are you working on a coding project, or do you have a question about software development? Let me know!
],
"model": "deepseek-chat",
"n": 1
})
headers = {
'Content-Type': 'application/json',
'Accept': 'application/json',
'Authorization': 'Bearer sk-492ec2acc35c4d20b6ab2c9490fcef0d'
}
response = requests.request("POST", url, headers=headers, data=payload)
robot_message = response.json()['choices'][0]['message']['content']
return {"robot_message": robot_message}
@app.route('/api/v2/chat')
def api_v2_chat():
import time
def robot_message():
for chunk in ["I'm ", "a ", "robot"]:
# yield chunk
# yield "data: " + chunk + "\n\n"
yield "data: " + json.dumps({'chunk': chunk}) + "\n\n"
time.sleep(1)
yield "data: [DONE]\n\n"
return Response(robot_message(), content_type="text/event-stream")
if __name__ == '__main__':
app.run(debug=True, port=80)
deepseek-chatbot/static/index.js
console.log(123);
window.onload = () => {
const chatContent = document.querySelector('.chat-content')
const userMessageIpt = document.querySelector('#user-message-ipt')
const sendBtn = document.querySelector('#send-btn')
sendBtn.onclick = () => {
const userMessage = userMessageIpt.value
userMessageIpt.value = ''
sendBtn.disabled = true
// <div class="user-message">introduce yourself</div>
const userMessageDiv = document.createElement('div')
userMessageDiv.className = 'user-message'
userMessageDiv.textContent = userMessage
chatContent.append(userMessageDiv)
// <pre class="robot-message">Hello! I’m an AI language model created to assist with answering questions, providing information, brainstorming ideas, and helping with various tasks. I don’t have personal experiences or emotions, but I’m here to help you with whatever you need. Feel free to ask me anything—whether it’s about science, history, writing, or just casual conversation. How can I assist you today? </pre>
// const robotMessagePre = document.createElement('pre')
// robotMessagePre.className = 'robot-message'
// robotMessagePre.textContent = "I'm a robot!"
// chatContent.append(robotMessagePre)
// 服务端接口：http://127.0.0.1/api/chat
// 请求方法：POST
// 请求体：{"user_message": "Hi"}
// 响应体：{"robot_message": "Hello"}
// fetch('/api/chat', {
// method: "POST",
// headers: { "Content-Type": "application/json" },
// body: JSON.stringify({ "user_message": userMessage })
// })
// .then(response => response.json())
// .then(data => {
// const robotMessagePre = document.createElement('pre')
// robotMessagePre.className = 'robot-message'
// robotMessagePre.textContent = data['robot_message']
// chatContent.append(robotMessagePre)
// })
const robotMessagePre = document.createElement('pre')
robotMessagePre.className = 'robot-message'
// robotMessagePre.textContent = "I'm a robot!"
chatContent.append(robotMessagePre)
const eventSource = new EventSource('/api/v2/chat')
eventSource.onmessage = (event) => {
console.log(event.data);
if (event.data == '[DONE]') {
eventSource.close()
sendBtn.disabled = false
} else {
robotMessagePre.textContent += JSON.parse(event.data)['chunk']
}
}
}
}
五、让 DeepSeek Chatbot 像流水般说话
对话补全接口
https://api-docs.deepseek.com/zh-cn/api/create-chat-completion
deepseek-chatbot/static/index.js
console.log(123);
window.onload = () => {
const chatContent = document.querySelector('.chat-content')
const userMessageIpt = document.querySelector('#user-message-ipt')
const sendBtn = document.querySelector('#send-btn')
sendBtn.onclick = () => {
const userMessage = userMessageIpt.value
userMessageIpt.value = ''
sendBtn.disabled = true
// <div class="user-message">introduce yourself</div>
const userMessageDiv = document.createElement('div')
userMessageDiv.className = 'user-message'
userMessageDiv.textContent = userMessage
chatContent.append(userMessageDiv)
// <pre class="robot-message">Hello! I’m an AI language model created to assist with answering questions, providing information, brainstorming ideas, and helping with various tasks. I don’t have personal experiences or emotions, but I’m here to help you with whatever you need. Feel free to ask me anything—whether it’s about science, history, writing, or just casual conversation. How can I assist you today? </pre>
// const robotMessagePre = document.createElement('pre')
// robotMessagePre.className = 'robot-message'
// robotMessagePre.textContent = "I'm a robot!"
// chatContent.append(robotMessagePre)
// 服务端接口：http://127.0.0.1/api/chat
// 请求方法：POST
// 请求体：{"user_message": "Hi"}
// 响应体：{"robot_message": "Hello"}
// fetch('/api/chat', {
// method: "POST",
// headers: { "Content-Type": "application/json" },
// body: JSON.stringify({ "user_message": userMessage })
// })
// .then(response => response.json())
// .then(data => {
// const robotMessagePre = document.createElement('pre')
// robotMessagePre.className = 'robot-message'
// robotMessagePre.textContent = data['robot_message']
// chatContent.append(robotMessagePre)
// })
const robotMessagePre = document.createElement('pre')
robotMessagePre.className = 'robot-message'
// robotMessagePre.textContent = "I'm a robot!"
chatContent.append(robotMessagePre)
const eventSource = new EventSource('/api/v2/chat?user_message=' + encodeURIComponent(userMessage))
eventSource.onmessage = (event) => {
console.log(event.data);
if (event.data == '[DONE]') {
eventSource.close()
sendBtn.disabled = false
} else {
robotMessagePre.textContent += JSON.parse(event.data)['chunk']
chatContent.scrollTop = chatContent.scrollHeight
}
}
}
}
deepseek-chatbot/app.py
from flask import Flask, render_template, request, Response
import requests
import json
app = Flask(__name__)
@app.route('/')
def home():
return render_template("index.html")
@app.route('/api/chat', methods=['POST'])
def api_chat():
user_message = request.json.get('user_message')
url = "https://api.deepseek.com/chat/completions"
payload = json.dumps({
"messages": [
# {
# "content": "You are a software developer",
# "role": "system"
# },
{
"content": user_message, # Hello! How can I assist you today?
"role": "user" # 你好！很高兴见到你。你今天想学些什么中文呢？
} # Hello! How can I assist you today? Are you working on a coding project, or do you have a question about software development? Let me know!
],
"model": "deepseek-chat",
"n": 1
})
headers = {
'Content-Type': 'application/json',
'Accept': 'application/json',
'Authorization': 'Bearer sk-492ec2acc35c4d20b6ab2c9490fcef0d'
}
response = requests.request("POST", url, headers=headers, data=payload)
robot_message = response.json()['choices'][0]['message']['content']
return {"robot_message": robot_message}
@app.route('/api/v2/chat')
def api_v2_chat():
user_message = request.args.get('user_message')
url = "https://api.deepseek.com/chat/completions"
payload = json.dumps({
"messages": [
{
"content": user_message,
"role": "user"
}
],
"model": "deepseek-chat",
"n": 1,
"stream": True
})
headers = {
'Content-Type': 'application/json',
'Accept': 'application/json',
'Authorization': 'Bearer sk-492ec2acc35c4d20b6ab2c9490fcef0d'
}
response = requests.request("POST", url, headers=headers, data=payload, stream=True)
# import time
def robot_message():
for line in response.iter_lines():
if not line:
continue
if line == b'data: [DONE]':
print("DONE")
yield "data: [DONE]\n\n"
else:
chunk = json.loads(line[6:])['choices'][0]['delta']['content']
if not chunk:
continue
print(chunk)
yield "data: " + json.dumps({'chunk': chunk}) + "\n\n"
# for chunk in ["I'm ", "a ", "robot"]:
# # yield chunk
# # yield "data: " + chunk + "\n\n"
# yield "data: " + json.dumps({'chunk': chunk}) + "\n\n"
# time.sleep(1)
# yield "data: [DONE]\n\n"
return Response(robot_message(), content_type="text/event-stream")
if __name__ == '__main__':
app.run(debug=True, port=80)
deepseek-chatbot/test.py
import requests
import json
url = "https://api.deepseek.com/chat/completions"
payload = json.dumps({
"messages": [
# {
# "content": "You are a software developer",
# "role": "system"
# },
{
"content": "Hi", # Hello! How can I assist you today?
"role": "user" # 你好！很高兴见到你。你今天想学些什么中文呢？
} # Hello! How can I assist you today? Are you working on a coding project, or do you have a question about software development? Let me know!
],
"model": "deepseek-chat",
"n": 1,
"stream": True
})
headers = {
'Content-Type': 'application/json',
'Accept': 'application/json',
'Authorization': 'Bearer sk-492ec2acc35c4d20b6ab2c9490fcef0d'
}
response = requests.request("POST", url, headers=headers, data=payload, stream=True)
print(response.status_code)
print(response.headers['Content-Type'])
# print(response.text)
# robot_message = response.json()['choices'][0]['message']['content']
for line in response.iter_lines():
# print(line)
if not line:
continue
if line == b'data: [DONE]':
print("DONE")
else:
chunk = json.loads(line[6:])['choices'][0]['delta']['content']
if not chunk:
continue
print(chunk)
"""
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":"!"},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":" How"},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":" can"},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":" I"},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":" assist"},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":" you"},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":" today"},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":"?"},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":" "},"logprobs":null,"finish_reason":null}]}
data: {"id":"2da1725d-8eec-4612-a8da-e76cd896052b","object":"chat.completion.chunk","created":1742954476,"model":"deepseek-chat","system_fingerprint":"fp_3d5141a69a_prod0225","choices":[{"index":0,"delta":{"content":""},"logprobs":null,"finish_reason":"stop"}],"usage":{"prompt_tokens":4,"completion_tokens":11,"total_tokens":15,"prompt_tokens_details":{"cached_tokens":0},"prompt_cache_hit_tokens":0,"prompt_cache_miss_tokens":4}}
data: [DONE]
"""
deepseek-chatbot/test.json
{
"id": "2da1725d-8eec-4612-a8da-e76cd896052b",
"object": "chat.completion.chunk",
"created": 1742954476,
"model": "deepseek-chat",
"system_fingerprint": "fp_3d5141a69a_prod0225",
"choices": [
{
"index": 0,
"delta": {
"content": "Hello"
},
"logprobs": null,
"finish_reason": null
}
]
}
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