Upgrade translator playground

This commit is contained in:
Kwaroran
2025-02-25 04:36:58 +09:00
parent 2af57d3c67
commit ed2957fc50
4 changed files with 123 additions and 9 deletions

View File

@@ -7,6 +7,8 @@
import SelectInput from "../UI/GUI/SelectInput.svelte";
import { getLanguageCodes } from "src/ts/globalApi.svelte";
import OptionInput from "../UI/GUI/OptionInput.svelte";
import CheckInput from "../UI/GUI/CheckInput.svelte";
import { tokenize } from "src/ts/tokenizer";
const userPreferedLang = navigator.language.split('-')[0]
@@ -16,6 +18,9 @@
let output = $state('')
let outputLang = $state(userPreferedLang)
let loading = $state(false)
let bulk = $state(false)
let keepContext = $state(false)
let bulkProgressText = $state('')
</script>
@@ -36,7 +41,99 @@
</SelectInput>
<TextAreaInput value={output} />
<CheckInput bind:check={bulk}>
Bulk
</CheckInput>
{#if bulk}
<CheckInput bind:check={keepContext}>
Keep Context
</CheckInput>
{/if}
<Button className="mt-4" onclick={async () => {
bulkProgressText = ''
if(bulk){
const format = () => {
if(jsonMode){
const d = JSON.parse(r)
for(let i = 0; i < d.length; i++){
if(translatedChunks[i]){
d[i].text = translatedChunks[i]
}
}
output = JSON.stringify(d, null, 2)
return
}
output = translatedChunks.join('\n\n')
console.log(output)
}
let preChunks = []
let prContexts:string[] = []
let translatedChunks: string[] = []
let jsonMode = false
if(loading){
return
}
loading = true
try {
const d = JSON.parse(r.trim())
if(Array.isArray(d)){
preChunks = d.map((x: { text: string }) => (x?.text ?? ""))
}
jsonMode = true
} catch (error) {
preChunks = r.split('\n\n')
jsonMode = false
}
console.log(preChunks, jsonMode)
let pvc = 'Previous Content is the content that was translated before the current content. This is used to keep the context of the translation. do not retranslate or return it.'
for(let i = 0; i < preChunks.length; i++){
try {
if(preChunks[i].trim().length === 0){
translatedChunks.push(preChunks[i])
continue
}
bulkProgressText = `(${i + 1} of ${preChunks.length})`
if(prContexts.length > 10){
prContexts.shift()
}
const prContext = prContexts.length > 0 ? prContexts.join('\n\n') : ''
if(prContext){
bulkProgressText += ` (previous ${await tokenize(prContext)} tokens)`
}
const translatedChunk = await runTranslator(preChunks[i], false, sourceLang, outputLang, {
translatorNote: prContext ? `<Previous Content>${prContext.trim()}</Previous Content>\n${pvc}` : ""
})
if(keepContext){
prContexts.push(`<Original>${preChunks[i]}</Original><Translated>${translatedChunk}</Translated>`)
}
translatedChunks.push(translatedChunk)
} catch (error) {
console.error(error)
translatedChunks.push(preChunks[i])
}
try {
format()
} catch (error) {
}
}
format()
loading = false
return
}
try {
if(loading){
return
@@ -50,7 +147,7 @@
}
}}>
{#if loading}
Loading...
Loading... {bulkProgressText}
{:else}
Translate
{/if}

View File

@@ -1371,6 +1371,7 @@ export async function exportCharacterCard(char:character, type:'png'|'json'|'cha
}
card.data.assets[i].uri = 'embeded://' + path
const imageType = checkImageType(rData)
const metaPath = `x_meta/${name}.json`
if(imageType === 'PNG' && writer instanceof CharXWriter){
const metadatas:Record<string,string> = {}
const gen = PngChunk.readGenerator(rData)
@@ -1380,10 +1381,20 @@ export async function exportCharacterCard(char:character, type:'png'|'json'|'cha
}
metadatas[chunk.key] = chunk.value
}
console.log(metadatas)
if(Object.keys(metadatas).length > 0){
const metaPath = `x_meta/${name}.json`
await writer.write(metaPath, Buffer.from(JSON.stringify(metadatas, null, 4)), 6)
}
else{
await writer.write(metaPath, Buffer.from(JSON.stringify({
'type': imageType
}), 'utf-8'), 6)
}
}
else{
await writer.write(metaPath, Buffer.from(JSON.stringify({
'type': imageType
}), 'utf-8'), 6)
}
await writer.write(path, Buffer.from(await convertImage(rData)))
}

View File

@@ -247,7 +247,7 @@ export async function requestChatData(arg:requestDataArgument, model:ModelModeEx
try{
const currentChar = getCurrentCharacter()
if(currentChar.type !== 'group'){
if(currentChar?.type !== 'group'){
const perf = performance.now()
const d = await runTrigger(currentChar, 'request', {
chat: getCurrentChat(),

View File

@@ -41,7 +41,7 @@ export async function translate(text:string, reverse:boolean) {
return runTranslator(text, reverse, db.translator,db.aiModel.startsWith('novellist') ? 'ja' : 'en')
}
export async function runTranslator(text:string, reverse:boolean, from:string,target:string) {
export async function runTranslator(text:string, reverse:boolean, from:string,target:string, exarg?:{translatorNote?:string}) {
const arg = {
from: reverse ? from : target,
@@ -50,6 +50,7 @@ export async function runTranslator(text:string, reverse:boolean, from:string,ta
host: 'translate.googleapis.com',
translatorNote: exarg?.translatorNote
}
const texts = text.split('\n')
let chunks:[string,boolean][] = [['', true]]
@@ -104,11 +105,11 @@ export async function runTranslator(text:string, reverse:boolean, from:string,ta
}
async function translateMain(text:string, arg:{from:string, to:string, host:string}){
async function translateMain(text:string, arg:{from:string, to:string, host:string, translatorNote?:string}){
let db = getDatabase()
if(db.translatorType === 'llm'){
const tr = arg.to || 'en'
return translateLLM(text, {to: tr, from: arg.from})
return translateLLM(text, {to: tr, from: arg.from, translatorNote: arg.translatorNote})
}
if(db.translatorType === 'deepl'){
const body = {
@@ -473,7 +474,7 @@ function needSuperChunkedTranslate(){
return getDatabase().translatorType === 'deeplX'
}
async function translateLLM(text:string, arg:{to:string, from:string, regenerate?:boolean}):Promise<string>{
async function translateLLM(text:string, arg:{to:string, from:string, regenerate?:boolean,translatorNote?:string}):Promise<string>{
if(!arg.regenerate){
const cacheMatch = await LLMCacheStorage.getItem(text)
if(cacheMatch){
@@ -490,12 +491,17 @@ async function translateLLM(text:string, arg:{to:string, from:string, regenerate
const db = getDatabase()
const charIndex = get(selectedCharID)
const currentChar = db.characters[charIndex]
let translatorNote
if (currentChar?.type === "character") {
let translatorNote = ""
console.log(arg.translatorNote)
if(arg.translatorNote){
translatorNote = arg.translatorNote
}
else if (currentChar?.type === "character") {
translatorNote = currentChar.translatorNote ?? ""
} else {
translatorNote = ""
}
console.log(translatorNote)
let formated:OpenAIChat[] = []
let prompt = db.translatorPrompt || `You are a translator. translate the following html or text into {{slot}}. do not output anything other than the translation.`