DeepSeek 聊天机器人项目

华健课堂2025-03-31 11:44

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一、为 DeepSeek Chatbot 准备零件

项目演示

输入提示词：

  1. Who are you?
  2. 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 www.python.org/

编辑器使用 VS Code code.visualstudio.com/

项目搭建

安装 Flask 库 pip install Flask

deepseek-chatbot/app.py

python 复制代码 
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

html 复制代码 
<!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

css 复制代码 
h1 {
  text-align: center;
}

deepseek-chatbot/static/index.js

javascript 复制代码 
console.log(123);

二、给 DeepSeek Chatbot 美化界面

deepseek-chatbot/templates/index.html

html 复制代码 
<!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

css 复制代码 
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

javascript 复制代码 
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

api-docs.deepseek.com/zh-cn/api/c...

错误码

api-docs.deepseek.com/zh-cn/quick...

模型 & 价格

api-docs.deepseek.com/zh-cn/quick...

deepseek-chatbot/static/index.js

javascript 复制代码 
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

python 复制代码 
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

python 复制代码 
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

developer.mozilla.org/zh-CN/docs/...

deepseek-chatbot/app.py

python 复制代码 
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

javascript 复制代码 
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

api-docs.deepseek.com/zh-cn/api/c...

deepseek-chatbot/static/index.js

javascript 复制代码 
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

python 复制代码 
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

python 复制代码 
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

json 复制代码 
{
  "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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