用excel 做网站,做网站需要花费那方面的钱,销售单页网站,wordpress页码插件在上一篇《访问DeepSeekR1本地部署API服务搭建自己的AI办公助手》中#xff0c;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#xff0c;但是需要运行Py脚本#xff0c;还比较麻烦#xff0c;下面我们用C#依据Ollama提供的API接口开发一个本地A…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 nameurl/param/// param namejsonParas/param/// returns/returnspublic 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;}}
}
