Experimental llamacpp support
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@@ -2,7 +2,7 @@ import { invoke } from "@tauri-apps/api/tauri";
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import { globalFetch } from "src/ts/storage/globalApi";
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import { sleep } from "src/ts/util";
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import * as path from "@tauri-apps/api/path";
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import { exists } from "@tauri-apps/api/fs";
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import { exists, readTextFile } from "@tauri-apps/api/fs";
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import { alertClear, alertError, alertMd, alertWait } from "src/ts/alert";
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import { get } from "svelte/store";
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import { DataBase } from "src/ts/storage/database";
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@@ -130,7 +130,7 @@ export async function loadExllamaFull(){
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}
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export async function runLocalModel(prompt:string){
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async function runLocalModelOld(prompt:string){
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const db = get(DataBase)
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if(!serverRunning){
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@@ -155,48 +155,139 @@ export async function runLocalModel(prompt:string){
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console.log(gen)
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}
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let initPython = false
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export async function installPython(){
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if(initPython){
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return
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}
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initPython = true
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const appDir = await path.appDataDir()
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const completedPath = await path.join(appDir, 'python', 'completed.txt')
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if(await exists(completedPath)){
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const dependencies = [
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'pydantic',
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'scikit-build',
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'scikit-build-core',
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'pyproject_metadata',
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'pathspec',
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'llama-cpp-python',
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'uvicorn[standard]',
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'fastapi'
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]
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for(const dep of dependencies){
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alertWait("Installing Python Dependencies (" + dep + ")")
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await invoke('install_py_dependencies', {
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path: appDir,
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dependency: dep
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})
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}
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const srvPath = await resolveResource('/src-python/')
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await invoke('run_py_server', {
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pyPath: appDir,
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alertWait("Python is already installed, skipping")
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}
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else{
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alertWait("Installing Python")
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await invoke("install_python", {
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path: appDir
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})
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alertWait("Installing Pip")
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await invoke("install_pip", {
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path: appDir
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})
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alertWait("Rewriting requirements")
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await invoke('post_py_install', {
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path: appDir
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})
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alertClear()
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}
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const dependencies = [
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'pydantic',
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'scikit-build',
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'scikit-build-core',
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'pyproject_metadata',
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'pathspec',
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'llama-cpp-python',
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'uvicorn[standard]',
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'fastapi'
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]
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for(const dep of dependencies){
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alertWait("Installing Python Dependencies (" + dep + ")")
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await invoke('install_py_dependencies', {
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path: appDir,
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dependency: dep
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})
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alertMd("Python Server is running at: " + srvPath)
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return
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}
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alertWait("Installing Python")
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await invoke("install_python", {
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path: appDir
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await invoke('run_py_server', {
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pyPath: appDir,
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})
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alertWait("Installing Pip")
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await invoke("install_pip", {
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path: appDir
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})
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alertWait("Rewriting requirements")
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await invoke('post_py_install', {
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path: appDir
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await sleep(4000)
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alertClear()
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return
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}
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export async function getLocalKey(retry = true) {
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try {
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const ft = await fetch("http://localhost:10026/")
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const keyJson = await ft.json()
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const keyPath = keyJson.dir
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const key = await readTextFile(keyPath)
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return key
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} catch (error) {
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if(!retry){
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throw `Error when getting local key: ${error}`
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}
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//if is cors error
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if(
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error.message.includes("NetworkError when attempting to fetch resource.")
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|| error.message.includes("Failed to fetch")
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){
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await installPython()
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return await getLocalKey(false)
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}
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else{
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throw `Error when getting local key: ${error}`
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}
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}
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}
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export async function runGGUFModel(arg:{
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prompt: string
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modelPath: string
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temperature: number
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top_p: number
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top_k: number
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maxTokens: number
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presencePenalty: number
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frequencyPenalty: number
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repeatPenalty: number
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maxContext: number
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stop: string[]
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}) {
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const key = await getLocalKey()
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const b = await fetch("http://localhost:10026/llamacpp", {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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"x-risu-auth": key
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},
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body: JSON.stringify({
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prompt: arg.prompt,
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model_path: arg.modelPath,
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temperature: arg.temperature,
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top_p: arg.top_p,
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top_k: arg.top_k,
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max_tokens: arg.maxTokens,
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presence_penalty: arg.presencePenalty,
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frequency_penalty: arg.frequencyPenalty,
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repeat_penalty: arg.repeatPenalty,
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n_ctx: arg.maxContext,
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stop: arg.stop
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})
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})
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alertClear()
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return b.body
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}
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export async function tokenizeGGUFModel(prompt:string):Promise<number[]> {
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const key = await getLocalKey()
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const db = get(DataBase)
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const modelPath = db.aiModel.replace('local_', '')
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const b = await fetch("http://localhost:10026/llamacpp/tokenize", {
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method: "POST",
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headers: {
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"Content-Type": "application/json",
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"x-risu-auth": key
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},
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body: JSON.stringify({
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prompt: prompt,
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n_ctx: db.maxContext,
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model_path: modelPath
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})
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})
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return await b.json()
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}
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