Compare commits

...

17 Commits
0.2.5 ... 0.2.6

Author SHA1 Message Date
zyxucp
d450efcffe Merge pull request #60 from AIDotNet/feature_kms
fix 修改提示词上限
2024-04-05 15:51:22 +08:00
zeyu xu
2a6c84c200 fix 修改提示词上限 2024-04-05 15:50:46 +08:00
zyxucp
138a952ace Merge pull request #59 from AIDotNet/feature_kms
Feature kms
2024-04-05 15:41:14 +08:00
zeyu xu
eb6528ecd2 add 修改message结构,减少localstore存储 2024-04-05 15:39:56 +08:00
zeyu xu
2c30bbfa09 fix 细节调整 2024-04-05 15:29:39 +08:00
zeyu xu
c5a78c2135 add modeldownchange 2024-04-05 15:12:29 +08:00
zeyu xu
f03362ee41 fix 修改dropdown Trigger.Click 2024-04-05 15:04:44 +08:00
zeyu xu
fad3167d97 add kms settings 2024-04-05 15:00:37 +08:00
zeyu xu
ad949681dd add change 2024-04-05 14:41:58 +08:00
zeyu xu
27999d76b0 fix 修改知识库函数 2024-04-05 14:26:35 +08:00
zeyu xu
83278352d6 add kms 配置 2024-04-05 14:12:25 +08:00
zeyu xu
fcc56f5fef fix bge embedding 无法切片问题 2024-04-04 00:37:08 +08:00
zyxucp
4ebe2ecc32 fix 修改初始化,增加完成标识 2024-04-02 13:53:32 +08:00
zeyu xu
e684cba527 Merge branch 'main' of github.com:AIDotNet/AntSK 2024-04-02 13:34:38 +08:00
zeyu xu
888dc19ee0 fix bgeembedding 2024-04-02 13:34:24 +08:00
zyxucp
731aea702f fix 修改提示词 2024-04-02 11:17:53 +08:00
zyxucp
09e22bc76a Update README.md 2024-04-02 00:07:08 +08:00
24 changed files with 252 additions and 90 deletions

View File

@@ -10,6 +10,8 @@
- **知识库**通过文档Word、PDF、Excel、Txt、Markdown、Json、PPT等形式导入知识库可以进行知识库问答。
- **文生图**:集成**StableDiffusion** 本地模型,可以进行文生图。
- **GPTs 生成**此平台支持创建个性化的GPT模型尝试构建您自己的GPT模型。
- **API接口发布**将内部功能以API的形式对外提供便于开发者将AntSK 集成进其他应用,增强应用智慧。

View File

@@ -292,6 +292,26 @@
API调用秘钥
</summary>
</member>
<member name="P:AntSK.Domain.Repositories.Apps.Relevance">
<summary>
相似度
</summary>
</member>
<member name="P:AntSK.Domain.Repositories.Apps.MaxAskPromptSize">
<summary>
提问最大token数
</summary>
</member>
<member name="P:AntSK.Domain.Repositories.Apps.MaxMatchesCount">
<summary>
向量匹配数
</summary>
</member>
<member name="P:AntSK.Domain.Repositories.Apps.AnswerTokens">
<summary>
回答最大token数
</summary>
</member>
<member name="P:AntSK.Domain.Repositories.Funs.Path">
<summary>
接口描述

View File

@@ -7,13 +7,13 @@ namespace AntSK.Domain.Domain.Interface
{
public interface IKMService
{
MemoryServerless GetMemory(Apps app);
MemoryServerless GetMemoryByApp(Apps app);
MemoryServerless GetMemoryByKMS(string kmsID, SearchClientConfig searchClientConfig = null);
MemoryServerless GetMemoryByKMS(string kmsID);
Task<List<KMFile>> GetDocumentByFileID(string kmsId, string fileId);
Task<List<RelevantSource>> GetRelevantSourceList(string kmsIdListStr, string msg);
Task<List<RelevantSource>> GetRelevantSourceList(Apps app, string msg);
List<UploadFileItem> FileList { get; }

View File

@@ -11,5 +11,22 @@ namespace AntSK.Domain.Domain.Model.Constant
public const string KmsIdTag = "kmsid";
public const string KmsIndex = "kms";
public const string KmsSearchNull="知识库未搜索到相关内容";
public const string KmsPrompt = @"使用<data></data>标记的内容作为你的知识:
<data>
{{$doc}}
</data>
--------------------------
回答要求:
- 如果你不清楚答案,你需要澄清
- 避免提及你是从<data></data>获取的知识
- 保持答案与<data></data>众描述一致
- 使用Markdown语法优化回答格式。
- 如果Markdown有图片则正常显示
--------------------------
历史聊天记录:{{ConversationSummaryPlugin.SummarizeConversation $history}}
--------------------------
用户问题: {{$input}}";
}
}

View File

@@ -4,7 +4,6 @@
{
public string ID { get; set; } = "";
public string Context { get; set; } = "";
public string HtmlAnswers { get; set; } = "";
/// <summary>
/// 发送是true 接收是false
@@ -13,8 +12,6 @@
public DateTime CreateTime { get; set; }
public string? FilePath { get; set; }
public string? FileName { get; set; }
}
}

View File

@@ -1,4 +1,5 @@
using Python.Runtime;
using Microsoft.KernelMemory.AI.OpenAI.GPT3;
using Python.Runtime;
using System;
using System.Collections.Generic;
using System.Linq;
@@ -37,7 +38,7 @@ namespace AntSK.Domain.Domain.Other
dynamic modelscope = Py.Import("modelscope");
//dynamic model_dir = modelscope.snapshot_download("AI-ModelScope/bge-large-zh-v1.5", revision: "master");
dynamic model_dir = modelscope.snapshot_download(modelName, revision: "master");
dynamic HuggingFaceBgeEmbeddingstemp = Py.Import("langchain.embeddings");
dynamic HuggingFaceBgeEmbeddingstemp = Py.Import("langchain_community.embeddings.huggingface");
dynamic HuggingFaceBgeEmbeddings = HuggingFaceBgeEmbeddingstemp.HuggingFaceBgeEmbeddings;
string model_name = model_dir;
dynamic model_kwargs = new PyDict();
@@ -72,12 +73,18 @@ namespace AntSK.Domain.Domain.Other
public static int TokenCount(string queryStr)
{
using (Py.GIL())
{
PyObject queryResult = model.client.tokenize(queryStr);
int len = (int)(queryResult.Length());
return len;
}
//using (Py.GIL())
//{
// PyObject queryResult = model.client.tokenize(queryStr);
// // 使用Python的内置len()函数获取长度
// PyObject lenFunc = Py.Import("builtins").GetAttr("len");
// PyObject length = lenFunc.Invoke(queryResult["input_ids"]);
// int len = length.As<int>(); // 将PyObject转换为C#中的整数
// return len;
//}
var tokenCount1 = GPT3Tokenizer.Encode(queryStr).Count;
return tokenCount1;
}
public static void Dispose()

View File

@@ -80,11 +80,12 @@ namespace AntSK.Domain.Domain.Service
public async IAsyncEnumerable<StreamingKernelContent> SendKmsByAppAsync(Apps app, string questions, ChatHistory history, string filePath, List<RelevantSource> relevantSources = null)
{
var relevantSourceList = await _kMService.GetRelevantSourceList(app.KmsIdList, questions);
relevantSources?.Clear();
var relevantSourceList = await _kMService.GetRelevantSourceList(app, questions);
var _kernel = _kernelService.GetKernelByApp(app);
if (!string.IsNullOrWhiteSpace(filePath))
{
var memory = _kMService.GetMemory(app);
var memory = _kMService.GetMemoryByApp(app);
var fileId = Guid.NewGuid().ToString();
var result = await memory.ImportDocumentAsync(new Microsoft.KernelMemory.Document(fileId).AddFile(filePath)
.AddTag(KmsConstantcs.KmsIdTag, app.Id)
@@ -104,20 +105,43 @@ namespace AntSK.Domain.Domain.Service
var dataMsg = new StringBuilder();
if (relevantSourceList.Any())
{
bool isSearch=false;
foreach (var item in relevantSourceList)
{
//匹配相似度
if (item.Relevance >= app.Relevance/100)
{
dataMsg.AppendLine(item.ToString());
isSearch=true;
}
}
//处理markdown显示
relevantSources?.AddRange(relevantSourceList);
foreach (var item in relevantSourceList)
{
dataMsg.AppendLine(item.ToString());
item.Text = Markdown.ToHtml(item.Text);
}
KernelFunction jsonFun = _kernel.Plugins.GetFunction("KMSPlugin", "Ask1");
var chatResult = _kernel.InvokeStreamingAsync(function: jsonFun,
arguments: new KernelArguments() { ["doc"] = dataMsg, ["history"] = string.Join("\n", history.Select(x => x.Role + ": " + x.Content)), ["questions"] = questions });
await foreach (var content in chatResult)
if (isSearch)
{
yield return content;
//KernelFunction jsonFun = _kernel.Plugins.GetFunction("KMSPlugin", "Ask1");
var temperature = app.Temperature / 100;//存的是0~100需要缩小
OpenAIPromptExecutionSettings settings = new() { Temperature = temperature };
var func = _kernel.CreateFunctionFromPrompt(app.Prompt, settings);
var chatResult = _kernel.InvokeStreamingAsync(function: func,
arguments: new KernelArguments() { ["doc"] = dataMsg.ToString(), ["history"] = string.Join("\n", history.Select(x => x.Role + ": " + x.Content)), ["input"] = questions });
await foreach (var content in chatResult)
{
yield return content;
}
}
else
{
yield return new StreamingTextContent(KmsConstantcs.KmsSearchNull);
}
}
else
{
@@ -135,7 +159,7 @@ namespace AntSK.Domain.Domain.Service
var _kernel = _kernelService.GetKernelByApp(app);
var temperature = app.Temperature / 100; //存的是0~100需要缩小
OpenAIPromptExecutionSettings settings = new() { Temperature = temperature };
var func = _kernel.CreateFunctionFromPrompt("你是一个StableDiffusion提示词助手,需要将用户问题转化为StableDiffusion的英文提示词并返回,请注意只返回提示词不要有其他多余内容,用户的问题是:{{$input}}", settings);
var func = _kernel.CreateFunctionFromPrompt("Translate this into English:{{$input}}", settings);
var chatResult = await _kernel.InvokeAsync(function: func, arguments: args);
if (chatResult.IsNotNull())
{

View File

@@ -36,7 +36,7 @@ namespace AntSK.Domain.Domain.Service
public List<UploadFileItem> FileList => _fileList;
public MemoryServerless GetMemory(Apps app)
public MemoryServerless GetMemoryByApp(Apps app)
{
var chatModel = _aIModels_Repositories.GetFirst(p => p.Id == app.ChatModelID);
var embedModel = _aIModels_Repositories.GetFirst(p => p.Id == app.EmbeddingModelID);
@@ -45,9 +45,9 @@ namespace AntSK.Domain.Domain.Service
var searchClientConfig = new SearchClientConfig
{
MaxAskPromptSize = 2048,
MaxMatchesCount = 3,
AnswerTokens = 1000,
MaxAskPromptSize = app.MaxAskPromptSize,
MaxMatchesCount = app.MaxMatchesCount,
AnswerTokens = app.AnswerTokens,
EmptyAnswer = KmsConstantcs.KmsSearchNull
};
@@ -71,7 +71,7 @@ namespace AntSK.Domain.Domain.Service
return _memory;
}
public MemoryServerless GetMemoryByKMS(string kmsID, SearchClientConfig searchClientConfig = null)
public MemoryServerless GetMemoryByKMS(string kmsID)
{
//if (_memory.IsNull())
{
@@ -85,19 +85,19 @@ namespace AntSK.Domain.Domain.Service
var embeddingHttpClient = OpenAIHttpClientHandlerUtil.GetHttpClient(embedModel.EndPoint);
//搜索配置
if (searchClientConfig.IsNull())
{
searchClientConfig = new SearchClientConfig
{
MaxAskPromptSize = 2048,
MaxMatchesCount = 3,
AnswerTokens = 1000,
EmptyAnswer = KmsConstantcs.KmsSearchNull
};
}
//if (searchClientConfig.IsNull())
//{
// searchClientConfig = new SearchClientConfig
// {
// MaxAskPromptSize = 2048,
// MaxMatchesCount = 3,
// AnswerTokens = 1000,
// EmptyAnswer = KmsConstantcs.KmsSearchNull
// };
//}
var memoryBuild = new KernelMemoryBuilder()
.WithSearchClientConfig(searchClientConfig)
//.WithSearchClientConfig(searchClientConfig)
.WithCustomTextPartitioningOptions(new TextPartitioningOptions
{
MaxTokensPerLine = kms.MaxTokensPerLine,
@@ -277,15 +277,15 @@ namespace AntSK.Domain.Domain.Service
return docTextList;
}
public async Task<List<RelevantSource>> GetRelevantSourceList(string kmsIdListStr, string msg)
public async Task<List<RelevantSource>> GetRelevantSourceList(Apps app ,string msg)
{
var result = new List<RelevantSource>();
if (string.IsNullOrWhiteSpace(kmsIdListStr))
if (string.IsNullOrWhiteSpace(app.KmsIdList))
return result;
var kmsIdList = kmsIdListStr.Split(",");
var kmsIdList = app.KmsIdList.Split(",");
if (!kmsIdList.Any()) return result;
var memory = GetMemoryByKMS(kmsIdList.FirstOrDefault()!);
var memory = GetMemoryByApp(app);
var filters = kmsIdList.Select(kmsId => new MemoryFilter().ByTag(KmsConstantcs.KmsIdTag, kmsId)).ToList();
@@ -297,7 +297,7 @@ namespace AntSK.Domain.Domain.Service
result.AddRange(item.Partitions.Select(part => new RelevantSource()
{
SourceName = item.SourceName,
Text = Markdown.ToHtml(part.Text),
Text = part.Text,
Relevance = part.Relevance
}));
}

View File

@@ -8,6 +8,7 @@ using Newtonsoft.Json;
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Diagnostics.Tracing;
using System.Linq;
using System.Text;
using System.Text.Json;
@@ -67,7 +68,9 @@ namespace AntSK.Domain.Domain.Service
process.BeginOutputReadLine();
process.BeginErrorReadLine();
process.WaitForExit();
OnLogMessageReceived("--------------------完成--------------------");
}, TaskCreationOptions.LongRunning);
await cmdTask;
}
public async Task StartLLamaFactory(string modelName, string templateName)
@@ -106,7 +109,10 @@ namespace AntSK.Domain.Domain.Service
process.BeginOutputReadLine();
process.BeginErrorReadLine();
process.WaitForExit();
OnLogMessageReceived("--------------------完成--------------------");
}, TaskCreationOptions.LongRunning);
await cmdTask;
}
private void Process_OutputDataReceived(object sender, DataReceivedEventArgs e)

View File

@@ -54,6 +54,7 @@ namespace AntSK.Domain.Repositories
/// <summary>
/// 提示词
/// </summary>
[SugarColumn(ColumnDataType = "varchar(2000)")]
public string? Prompt { get; set; }
/// <summary>
@@ -77,5 +78,28 @@ namespace AntSK.Domain.Repositories
/// API调用秘钥
/// </summary>
public string? SecretKey { get; set; }
/// <summary>
/// 相似度
/// </summary>
[SugarColumn(DefaultValue = "70")]
public double Relevance { get; set; } = 70;
/// <summary>
/// 提问最大token数
/// </summary>
[SugarColumn(DefaultValue = "2048")]
public int MaxAskPromptSize { get; set; } = 2048;
/// <summary>
/// 向量匹配数
/// </summary>
[SugarColumn(DefaultValue = "3")]
public int MaxMatchesCount { get; set; } = 3;
/// <summary>
/// 回答最大token数
/// </summary>
[SugarColumn(DefaultValue = "2048")]
public int AnswerTokens { get; set; } = 2048;
}
}

View File

@@ -15,4 +15,6 @@ fastapi
sse-starlette
matplotlib
fire
modelscope
modelscope
langchain-community
sentence_transformers

View File

@@ -24,7 +24,7 @@
<IconPicker @bind-Value="@context.Icon"></IconPicker>
</FormItem>
<FormItem Label="类型" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<RadioGroup @bind-Value="context.Type">
<RadioGroup @bind-Value="context.Type" OnChange="OnAppTypeChange" TValue="string">
<Radio RadioButton Value="@AppType.chat.ToString()">会话应用</Radio>
<Radio RadioButton Value="@AppType.kms.ToString()">知识库</Radio>
<Radio RadioButton Value="@AppType.img.ToString()">做图应用</Radio>
@@ -52,6 +52,14 @@
</Select>
<Button Type="@ButtonType.Link" OnClick="NavigateModelList">去创建</Button>
</FormItem>
<FormItem Label="提示词" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<TextArea MinRows="4" Placeholder="请输入提示词,用户输入使用{{$input}} 来做占位符" @bind-Value="@context.Prompt" />
</FormItem>
<FormItem Label="温度系数" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<span>更确定</span>
<Slider TValue="double" Style="display: inline-block;width: 300px; " Min="0" Max="100" DefaultValue="70" @bind-Value="@context.Temperature" />
<span>更发散</span>
</FormItem>
}
else
{
@@ -66,17 +74,6 @@
}
@if (@context.Type == AppType.chat.ToString())
{
<FormItem Label="提示词" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<TextArea MinRows="4" Placeholder="请输入提示词,用户输入使用{{$input}} 来做占位符" @bind-Value="@context.Prompt" />
</FormItem>
<FormItem Label="温度系数" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<span>更确定</span>
<Slider TValue="double" Style="display: inline-block;width: 300px; " Min="0" Max="100" DefaultValue="70" @bind-Value="@context.Temperature" />
<span>更发散</span>
</FormItem>
<FormItem Label="API插件列表" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<Select Mode="multiple"
@bind-Values="apiIds"
@@ -125,6 +122,19 @@
}
</SelectOptions>
</Select>
<Button Type="@ButtonType.Link" OnClick="NavigateKmsList">去创建</Button>
</FormItem>
<FormItem Label="提问最大token数" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<AntDesign.InputNumber @bind-Value="context.MaxAskPromptSize" PlaceHolder="提问最大token数"></AntDesign.InputNumber>
</FormItem>
<FormItem Label="回答最大token数" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<AntDesign.InputNumber @bind-Value="context.AnswerTokens" PlaceHolder="回答最大token数"></AntDesign.InputNumber>
</FormItem>
<FormItem Label="向量匹配数" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<AntDesign.InputNumber @bind-Value="context.MaxMatchesCount" PlaceHolder="向量匹配数"></AntDesign.InputNumber>
</FormItem>
<FormItem Label="最低相似度(%" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<Slider TValue="double" Style="display: inline-block;width: 300px; " Min="0" Max="100" DefaultValue="70" @bind-Value="@context.Relevance" />
</FormItem>
}
<FormItem Label=" " Style="margin-top:32px" WrapperCol="LayoutModel._submitFormLayout.WrapperCol">

View File

@@ -1,4 +1,5 @@
using AntDesign;
using AntSK.Domain.Domain.Model.Constant;
using AntSK.Domain.Domain.Model.Enum;
using AntSK.Domain.Domain.Service;
using AntSK.Domain.Repositories;
@@ -89,7 +90,14 @@ namespace AntSK.Pages.AppPage
}
_appModel.KmsIdList = string.Join(",", kmsIds);
}
if (_appModel.Type == AppType.kms.ToString())
{
if (string.IsNullOrEmpty(_appModel.Prompt)|| !_appModel.Prompt.Contains("{{$doc}}") || !_appModel.Prompt.Contains("{{$input}}"))
{
_ = Message.Error("知识库提示词必须包含 {{$doc}} 和 {{$input}}", 2);
return;
}
}
if (apiIds.IsNotNull())
{
_appModel.ApiFunctionList = string.Join(",", apiIds);
@@ -99,7 +107,7 @@ namespace AntSK.Pages.AppPage
_appModel.NativeFunctionList = string.Join(",", funIds);
}
if (string.IsNullOrEmpty(AppId))
{
//新增
@@ -135,6 +143,25 @@ namespace AntSK.Pages.AppPage
{
NavigationManager.NavigateTo("/setting/modellist");
}
private void NavigateKmsList()
{
NavigationManager.NavigateTo("/KmsList");
}
private void OnAppTypeChange(string value)
{
if (value == AppType.kms.ToString() && string.IsNullOrEmpty( _appModel.Prompt))
{
_appModel.Prompt = KmsConstantcs.KmsPrompt;
}
if (value == AppType.chat.ToString())
{
_appModel.Prompt = "";
}
}
}
}

View File

@@ -60,7 +60,7 @@
}
else if (context.Type == AppType.img.ToString())
{
<Tag Color="@PresetColor.Lime.ToString()">做图应用</Tag>
<Tag Color="@PresetColor.Red.ToString()">做图应用</Tag>
}
</DescriptionTemplate>
</CardMeta>

View File

@@ -46,7 +46,7 @@
</GridCol>
<GridCol Span="23">
<div class="chat-bubble received">
@((MarkupString)(item.HtmlAnswers))
@((MarkupString)(item.Context))
</div>
</GridCol>

View File

@@ -181,11 +181,11 @@ namespace AntSK.Pages.ChatPage.Components
var base64= await _chatService.SendImgByAppAsync(app, questions);
if (string.IsNullOrEmpty(base64))
{
info.HtmlAnswers = "生成失败";
info.Context = "生成失败";
}
else
{
info.HtmlAnswers = $"<img src=\"data:image/jpeg;base64,{base64}\" alt=\"Base64 Image\" />";
info.Context = $"<img src=\"data:image/jpeg;base64,{base64}\" alt=\"Base64 Image\" />";
}
MessageList.Add(info);
}
@@ -208,14 +208,13 @@ namespace AntSK.Pages.ChatPage.Components
info = new MessageInfo();
info.ID = Guid.NewGuid().ToString();
info.Context = content.ConvertToString();
info.HtmlAnswers = content.ConvertToString();
info.CreateTime = DateTime.Now;
MessageList.Add(info);
}
else
{
info.HtmlAnswers += content.ConvertToString();
info.Context += content.ConvertToString();
await Task.Delay(50);
}
await InvokeAsync(StateHasChanged);
@@ -243,14 +242,13 @@ namespace AntSK.Pages.ChatPage.Components
info = new MessageInfo();
info.ID = Guid.NewGuid().ToString();
info.Context = content.ConvertToString();
info.HtmlAnswers = content.ConvertToString();
info.CreateTime = DateTime.Now;
MessageList.Add(info);
}
else
{
info.HtmlAnswers += content.ConvertToString();
info.Context += content.ConvertToString();
await Task.Delay(50);
}
await InvokeAsync(StateHasChanged);
@@ -264,7 +262,7 @@ namespace AntSK.Pages.ChatPage.Components
if (info.IsNotNull())
{
// info!.HtmlAnswers = markdown.Transform(info.HtmlAnswers);
info!.HtmlAnswers = Markdown.ToHtml(info.HtmlAnswers);
info!.Context = Markdown.ToHtml(info.Context);
}
await InvokeAsync(StateHasChanged);

View File

@@ -17,7 +17,7 @@
<Extra>
<Button Type="@ButtonType.Primary" Style="position: absolute; right:360px; margin-bottom: 8px;" OnClick="Refresh">刷新 </Button>
<Dropdown Style="position: absolute; right: 20px; margin-bottom: 8px;">
<Dropdown Style="position: absolute; right: 20px; margin-bottom: 8px;" Trigger="@(new Trigger[] { Trigger.Click })">
<Overlay>
<Menu>
@(_fileUpload(() => FileShowModal()))

View File

@@ -24,11 +24,10 @@
</FormItem>
<FormItem Label="AI类型" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<EnumRadioGroup @bind-Value="context.AIType" ButtonStyle="RadioButtonStyle.Solid"> </EnumRadioGroup>
<EnumRadioGroup @bind-Value="context.AIType" ButtonStyle="RadioButtonStyle.Solid" OnChange="AITypeChange" TEnum="AIType"> </EnumRadioGroup>
</FormItem>
<FormItem Label="模型类型" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<RadioGroup @bind-Value="context.AIModelType">
<RadioGroup @bind-Value="context.AIModelType">
@if (context.AIType == AIType.StableDiffusion)
{
<Radio RadioButton Value="@(AIModelType.Image)">图片模型</Radio>
@@ -39,7 +38,7 @@
{
<Radio RadioButton Value="@(AIModelType.Chat)">会话模型</Radio>
}
@if (context.AIType != AIType.LLamaFactory && context.AIType != AIType.Mock)
@if (context.AIType != AIType.LLamaFactory && context.AIType != AIType.Mock && context.AIType != AIType.SparkDesk)
{
<Radio RadioButton Value="@(AIModelType.Embedding)">向量模型</Radio>
}
@@ -127,6 +126,9 @@
<FormItem Label="请求地址" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<Input Placeholder="http://localhost:8080/" @bind-Value="@context.EndPoint" />
</FormItem>
<FormItem Label="环境安装" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<Button Type="primary" OnClick="PipInstall">环境安装</Button>
</FormItem>
<FormItem Label="llama factory服务" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<InputGroup>
@if (!llamaFactoryIsStart)
@@ -138,10 +140,7 @@
<Button OnClick="StopLFService" Disabled="@(!llamaFactoryIsStart)">停止</Button>
}
</InputGroup>
</FormItem>
<FormItem Label="环境安装" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<Button Type="primary" OnClick="PipInstall">初始化</Button>
</FormItem>
</FormItem>
}
@if (context.AIType == AIType.BgeEmbedding)
@@ -156,6 +155,9 @@
<FormItem Label="PythonDll路径" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<Input Placeholder="D:\Programs\Python\Python311\python311.dll" @bind-Value="@context.EndPoint" />
</FormItem>
<FormItem Label="环境安装" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<Button Type="primary" OnClick="PipInstall">环境安装</Button>
</FormItem>
<FormItem Label="下载并初始化" LabelCol="LayoutModel._formItemLayout.LabelCol" WrapperCol="LayoutModel._formItemLayout.WrapperCol">
<Spin Tip="请等待..." Spinning="@(BgeIsStart)" >
<Button Type="primary" Disabled="@(BgeIsStart)" OnClick="BgeDownload">@BgeBtnText</Button>

View File

@@ -233,7 +233,7 @@ namespace AntSK.Pages.Setting.AIModel
/// <summary>
/// 启动服务
/// </summary>
private void StartLFService()
private async Task StartLFService()
{
if (string.IsNullOrEmpty(_aiModel.ModelName))
{
@@ -264,7 +264,7 @@ namespace AntSK.Pages.Setting.AIModel
{
_logModalVisible = true;
_ILLamaFactoryService.LogMessageReceived += CmdLogHandler;
await _ILLamaFactoryService.PipInstall();
_ILLamaFactoryService.PipInstall();
}
}
@@ -314,9 +314,27 @@ namespace AntSK.Pages.Setting.AIModel
_logModalVisible = false;
}
private void AITypeModelChange()
{
private void AITypeChange(AIType aiType)
{
switch (aiType)
{
case AIType.LLamaFactory:
_aiModel.EndPoint = "http://localhost:8080/";
_aiModel.AIModelType=AIModelType.Chat;
break;
case AIType.StableDiffusion:
_aiModel.AIModelType = AIModelType.Image;
break;
case AIType.Mock:
_aiModel.AIModelType = AIModelType.Chat;
break ;
case AIType.BgeEmbedding:
_aiModel.AIModelType = AIModelType.Embedding;
break;
default:
_aiModel.AIModelType = AIModelType.Chat;
break;
}
}
}
}

View File

@@ -10,7 +10,7 @@
<PageContainer Title="模型列表">
<Content>
<RadioGroup @bind-Value="@_modelType">
<RadioGroup @bind-Value="@_modelType" OnChange="OnModelTypeChange" TValue="string">
<Radio Value="@("gguf")" DefaultChecked=true>LLama本地模型(gguf)</Radio>
<Radio Value="@("safetensors")">StableDiffusion(safetensors)</Radio>
<Radio Value="@("ckpt")">StableDiffusion2(ckpt)</Radio>

View File

@@ -48,5 +48,10 @@ namespace AntSK.Pages.Setting.AIModel
{
NavigationManager.NavigateTo($"/setting/modeldown/detail/{modelPath}");
}
private void OnModelTypeChange(string value)
{
InitData("");
}
}
}

View File

@@ -201,7 +201,7 @@ namespace AntSK.Services.OpenApi
string result = "";
var _kernel = _kernelService.GetKernelByApp(app);
var relevantSource = await _kMService.GetRelevantSourceList(app.KmsIdList, questions);
var relevantSource = await _kMService.GetRelevantSourceList(app, questions);
var dataMsg = new StringBuilder();
if (relevantSource.Any())
{
@@ -210,9 +210,12 @@ namespace AntSK.Services.OpenApi
dataMsg.AppendLine(item.ToString());
}
KernelFunction jsonFun = _kernel.Plugins.GetFunction("KMSPlugin", "Ask1");
var chatResult = await _kernel.InvokeAsync(function: jsonFun,
arguments: new KernelArguments() { ["doc"] = dataMsg, ["history"] = string.Join("\n", history.Select(x => x.Role + ": " + x.Content)), ["questions"] = questions });
//KernelFunction jsonFun = _kernel.Plugins.GetFunction("KMSPlugin", "Ask1");
var temperature = app.Temperature / 100;//存的是0~100需要缩小
OpenAIPromptExecutionSettings settings = new() { Temperature = temperature };
var func = _kernel.CreateFunctionFromPrompt(app.Prompt, settings);
var chatResult = await _kernel.InvokeAsync(function: func,
arguments: new KernelArguments() { ["doc"] = dataMsg, ["history"] = string.Join("\n", history.Select(x => x.Role + ": " + x.Content)), ["input"] = questions });
if (chatResult.IsNotNull())
{
string answers = chatResult.GetValue<string>();

View File

@@ -3,7 +3,7 @@ Facts:
--------------------------
History:{{ConversationSummaryPlugin.SummarizeConversation $history}}
--------------------------
Question: {{$questions}}
Question: {{$input}}
--------------------------
Given only the facts above, provide a comprehensive/detailed answer.
You don't know where the knowledge comes from, just answer.

View File

@@ -13,5 +13,5 @@
历史聊天记录:{{ConversationSummaryPlugin.SummarizeConversation $history}}
--------------------------
用户问题: {{$questions}}
用户问题: {{$input}}