巴彦淖尔 网站建设以网红引流促业态提升

在上一篇《访问DeepSeekR1本地部署API服务搭建自己的AI办公助手》中，我们通过通过Ollama提供的本地API接口用Python实现了一个简易的AI办公助手，但是需要运行Py脚本，还比较麻烦，下面我们用C#依据Ollama提供的API接口开发一个本地AI辅助办公助手.

代码如下：

需要引用Newtonsoft.Json.dll和Winform皮肤插件OwnUI.dll去掉也没什么影响

using System;
using System.Net.Http;
using System.Windows.Forms;
using OwnUI;
using Newtonsoft.Json.Linq;namespace OllamaChat
{public partial class Form1 : UIForm{public Form1(){InitializeComponent();}private void Form1_Load(object sender, EventArgs e){uitb_requesturl.Text = "http://127.0.0.1:11434/api/chat";uitb_question.Text = uitb_answers.Text = "";}private void uitb_question_KeyPress(object sender, KeyPressEventArgs e){if (e.KeyChar == (char)Keys.Enter){string json = "{\"model\":\"deepseek-r1:1.5b\",\"messages\": [{\"role\":\"user\",\"content\":\"" + uitb_question.Text + "\"}],\"stream\":false}";string restext = post(uitb_requesturl.Text, json);JObject obj = JObject.Parse(restext);string message = obj["message"].ToString();if (string.IsNullOrEmpty(message) == false){obj = JObject.Parse(message);string content = obj["content"].ToString();uitb_answers.Text = content;}}}/// <summary>/// https提交/// </summary>/// <param name="url"></param>/// <param name="jsonParas"></param>/// <returns></returns>public static String post(String url, String jsonParas){String responseBody = String.Empty;using (HttpClient client = new HttpClient()){HttpContent httpContent = new StringContent(jsonParas);httpContent.Headers.ContentType = new System.Net.Http.Headers.MediaTypeHeaderValue("application/json");HttpResponseMessage response = client.PostAsync(url, httpContent).GetAwaiter().GetResult();response.EnsureSuccessStatusCode();responseBody = response.Content.ReadAsStringAsync().GetAwaiter().GetResult();}//Console.WriteLine(responseBody);return responseBody;}}
}