开发工具：VS 2015
开发环境：.Net 4.0
使用技术：WPF
本篇文章内容：
本地部署DeepSeek以后一般使用网页工具（如Chatbox）或者DOS窗口与其对话。本篇文章使用WPF创建一个基础版的对话工具。
一、搭建本地DeepSeek环境
我参考的是一下几个教程：
1、DeepSeek本地搭建部署+搭建知识库+智能体详细图文教程
3、公司数据不泄露，DeepSeek R1本地化部署+web端访问+个人知识库搭建与使用，喂饭级实操教程，老旧笔记本竟跑出企业级AI
4、【大语言模型】本地快速部署Ollama运行大语言模型详细流程
二、vs2015 创建WPF项目
三、相关代码如下
Windows窗口界面
csharp
<Window x:Class="DeepSeekAI2.MainWindow"
xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation"
xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
xmlns:d="http://schemas.microsoft.com/expression/blend/2008"
xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"
xmlns:local="clr-namespace:DeepSeekAI2"
mc:Ignorable="d"
Title="MainWindow" Height="680" Width="800">
<Grid Margin="10,0,15,5">
<Grid.RowDefinitions>
<RowDefinition Height="8.5*"/>
<RowDefinition Height="1.5*"/>
</Grid.RowDefinitions>
<Grid.ColumnDefinitions>
<ColumnDefinition Width="750"/>
</Grid.ColumnDefinitions>
<!--第一个格子，AI对话格子-->
<Grid Grid.Row="0" Grid.Column="0">
<ListBox Name="ChatListBox" HorizontalAlignment="Stretch" VerticalAlignment="Stretch">
<ListBox.ItemTemplate>
<DataTemplate>
<TextBlock Text="{Binding}" TextWrapping="Wrap" MaxWidth="730"/>
</DataTemplate>
</ListBox.ItemTemplate>
</ListBox>
</Grid>
<!--第二个格子，用户输入框-->
<Grid Grid.Row="1" Grid.Column="0">
<Grid.ColumnDefinitions>
<ColumnDefinition Width="8*" />
<ColumnDefinition Width="2*"/>
</Grid.ColumnDefinitions>
<!--输入信息框-->
<Grid Grid.Column="0">
<TextBox Name="InputTextBox" HorizontalAlignment="Left" VerticalAlignment="Bottom" KeyDown="InputTextBox_KeyDown"
Height="62" Width="522" Margin="61,0,0,14" />
</Grid>
<!--发送信息按钮框-->
<Grid Grid.Column="1">
<Button Name="SendButton"
Content="Send"
HorizontalAlignment="Right"
VerticalAlignment="Bottom"
Margin="0,0,58,20"
Width="90"
Height="50"
Click="SendButton_Click" FontFamily="Arial Black" FontSize="13" Foreground="#FF424234"/>
</Grid>
<Grid Grid.Column="1">
<Button Name="SendButton1"
Content="new"
HorizontalAlignment="Right"
VerticalAlignment="Bottom"
Margin="0,0,2,60"
Width="30"
Height="30"
Click="SendButton_Click1" FontFamily="Cambria" Foreground="#FF424234" Background="#FFB6F5C2"/>
</Grid>
</Grid>
</Grid>
</Window>后端代码
csharp
using System;
using System.IO;
using System.Net.Http;
using System.Text;
using System.Threading;
using System.Threading.Tasks;
using System.Text.RegularExpressions;
using System.Windows;
using System.Windows.Input;
using System.Net;
namespace DeepSeekAI2
{
/// <summary>
/// MainWindow.xaml 的交互逻辑
/// </summary>
public partial class MainWindow : Window
{
public MainWindow()
{
InitializeComponent();
}
/// <summary>
/// 输入按钮框
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void InputTextBox_KeyDown(object sender, KeyEventArgs e)
{
if (e.Key == Key.Enter)
{
RunAI();
//InputTextBox.Text = "";
}
}
/// <summary>
/// 确认发送按钮
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void SendButton_Click(object sender, RoutedEventArgs e)
{
// 异步方法需在同步上下文中调用（需手动处理）
RunAI();
//InputTextBox.Text = "";
}
// 用于存储对话的历史记录
static StringBuilder conversationHistory = new StringBuilder();
static string apiUrl = "http://localhost:11434/api/generate";
public void RunAI()
{
// 用户输入
string userInput = InputTextBox.Text;
// 如果输入不正确，不输出
if (userInput.ToLower() == "" || userInput.ToLower() == "\n")
{
return;
}
// 用户输入添加到历史对话记录
conversationHistory.AppendLine($"用户: {userInput}");
ChatListBox.Items.Add("-----------用户：-----------");
ChatListBox.Items.Add(userInput);
var requestData = new
{
model = "deepseek-r1:1.5b",
prompt = conversationHistory.ToString(),
stream = true
};
string jsonContent = Newtonsoft.Json.JsonConvert.SerializeObject(requestData);
byte[] byteArray = Encoding.UTF8.GetBytes(jsonContent);
HttpWebRequest request = (HttpWebRequest)WebRequest.Create(apiUrl);
request.Method = "POST";
request.ContentType = "application/json";
request.ContentLength = byteArray.Length;
using (Stream dataStream = request.GetRequestStream())
{
dataStream.Write(byteArray, 0, byteArray.Length);
}
try
{
using (HttpWebResponse response = (HttpWebResponse)request.GetResponse())
using (Stream responseStream = response.GetResponseStream())
using (StreamReader reader = new StreamReader(responseStream))
{
string line;
string line2 = "";
while ((line = reader.ReadLine()) != null)
{
if (!string.IsNullOrEmpty(line))
{
dynamic result = Newtonsoft.Json.JsonConvert.DeserializeObject(line);
if (result != null && result.response != null)
{
//Console.Write(result.response);
//Console.Out.Flush(); // 强制刷新控制台输出
//ChatListBox.Items.Add(result.response);
line2 += result.response;
}
}
}
// 处理AI回话
// 去掉所有的换行符
line2 = line2.Replace("\n\n", "");
// 使用正则表达式去掉 <think> 和 </think> 标签
line2 = Regex.Replace(line2, @"<\/?think>", "\n");
// 去掉开头的换行符
line2 = line2.TrimStart('\r', '\n');
ChatListBox.Items.Add("-----------DeepSeek: -----------");
//Console.WriteLine(); AI回话DeePSeek回话 line2
ChatListBox.Items.Add(line2);
conversationHistory.AppendLine($"DeepSeek: {line2}");
line2 = "";
}
InputTextBox.Text = "";
}
catch (WebException ex)
{
MessageBox.Show("请求异常: " + ex.Message);
InputTextBox.Text = "";
}
}
/// <summary>
/// 开启新的对话
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void SendButton_Click1(object sender, RoutedEventArgs e)
{
//1 清空历史记录
conversationHistory.Clear();
//2 清空 ListBox 的内容
ChatListBox.Items.Clear();
//3 清空输入框
InputTextBox.Text = "";
}
}
}四、内容介绍
csharp
static string apiUrl = "http://localhost:11434/api/generate";其中这个代码是本地DeepSeek默认的调用接口，如果自己修改了相关内容将此修改就可以
csharp
model = "deepseek-r1:1.5b"这串代码的意思是指定使用本地安装的某个DeepSeek版本。
因为7b的版本在我电脑上太慢。所以直接使用最快的模型。
五、完成效果如下
这样就搭建了基础的对话模型。大家可以不断优化，做一个自己的对话模型。