Merge branch 'main' of https://github.com/Yidadaa/ChatGPT-Next-Web
This commit is contained in:
commit
735afc64f6
@ -40,7 +40,7 @@ One-Click to deploy well-designed ChatGPT web UI on Vercel.
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- [ ] Share as image, share to ShareGPT
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- [ ] Desktop App with tauri
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- [ ] Self-host Model: support llama, alpaca, ChatGLM, BELLE etc.
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- [ ] Plugins: support network search, caculator, any other apis etc. [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165)
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- [ ] Plugins: support network search, calculator, any other apis etc. [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165)
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### Not in Plan
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@ -708,6 +708,7 @@ export function Chat(props: {
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className={styles["chat-body"]}
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ref={scrollRef}
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onScroll={(e) => onChatBodyScroll(e.currentTarget)}
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onMouseDown={() => inputRef.current?.blur()}
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onWheel={(e) => setAutoScroll(hitBottom && e.deltaY > 0)}
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onTouchStart={() => {
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inputRef.current?.blur();
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@ -1,34 +0,0 @@
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<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="38"
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height="38" viewBox="0 0 38 38" fill="none">
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<defs>
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<filter id="filter_0" x="-4" y="-4" width="38" height="38" filterUnits="userSpaceOnUse"
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color-interpolation-filters="sRGB">
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<feFlood flood-opacity="0" result="BackgroundImageFix" />
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<feColorMatrix in="SourceAlpha" type="matrix"
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values="0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 127 0" />
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<feOffset dx="0" dy="2" />
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<feGaussianBlur stdDeviation="2" />
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<feColorMatrix type="matrix" values="0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.05 0" />
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<feBlend mode="normal" in2="BackgroundImageFix" result="effect1_Shadow" />
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<feBlend mode="normal" in="SourceGraphic" in2="effect1_Shadow" result="shape" />
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</filter>
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<rect id="path_0" x="0" y="0" width="30" height="30" />
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</defs>
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<g opacity="1" transform="translate(4 2) rotate(0 15 15)">
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<g id="undefined" filter="url(#filter_0)">
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<rect stroke="#000000" stroke-width="1" stroke-opacity="0.05" />
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<rect x="0" y="0" width="30" height="30" rx="10" />
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</g>
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<mask id="bg-mask-0" fill="white">
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<use xlink:href="#path_0"></use>
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</mask>
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<g mask="url(#bg-mask-0)">
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<g opacity="1" transform="translate(6 4.5) rotate(0 9 11)">
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<text>
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<tspan x="0" y="16.240000000000002" font-size="14" line-height="0" fill="#000000"
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opacity="1" font-family="SourceHanSansCN-Regular" letter-spacing="0">🤣</tspan>
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</text>
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</g>
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</g>
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</g>
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</svg>
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Before Width: | Height: | Size: 1.5 KiB |
@ -38,12 +38,12 @@ const cn = {
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MessageFromChatGPT: "来自 ChatGPT 的消息",
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},
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Memory: {
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Title: "历史记忆",
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EmptyContent: "尚未记忆",
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Send: "发送记忆",
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Copy: "复制记忆",
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Title: "历史摘要",
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EmptyContent: "尚未总结",
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Send: "启用总结并发送摘要",
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Copy: "复制摘要",
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Reset: "重置对话",
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ResetConfirm: "重置后将清空当前对话记录以及历史记忆,确认重置?",
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ResetConfirm: "重置后将清空当前对话记录以及历史摘要,确认重置?",
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},
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Home: {
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NewChat: "新的聊天",
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@ -108,7 +108,7 @@ const cn = {
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Modal: {
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Title: "提示词列表",
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Add: "增加一条",
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Search: "搜尋提示詞",
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Search: "搜索提示词",
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},
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},
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HistoryCount: {
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@ -109,9 +109,9 @@ const jp = {
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`組み込み ${builtin} 件、ユーザー定義 ${custom} 件`,
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Edit: "編集",
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Modal: {
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Title: "提示词列表",
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Add: "增加一条",
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Search: "搜尋提示詞",
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Title: "プロンプトリスト",
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Add: "新規追加",
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Search: "プロンプトワード検索",
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},
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},
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HistoryCount: {
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@ -108,7 +108,7 @@ const tw: LocaleType = {
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Modal: {
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Title: "提示詞列表",
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Add: "增加一條",
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Search: "搜索提示词",
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Search: "搜尋提示詞",
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},
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},
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HistoryCount: {
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@ -160,9 +160,9 @@ const tw: LocaleType = {
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History: (content: string) =>
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"這是 AI 與用戶的歷史聊天總結,作為前情提要:" + content,
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Topic:
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"Summarise the conversation in a short and concise eye-catching title that instantly conveys the main topic. Use as few words as possible. Use the language used in the enquiry, e.g. use English for English enquiry, use zh-hant for traditional chinese enquiry. Don't use quotation marks at the beginning and the end.",
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"Use the language used by the user (e.g. en for english conversation, zh-hant for chinese conversation, etc.) to generate a title (at most 6 words) summarizing our conversation without any lead-in, quotation marks, preamble like 'Title:', direct text copies, single-word replies, quotation marks, translations, or brackets. Remove enclosing quotation marks. The title should make third-party grasp the essence of the conversation in first sight.",
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Summarize:
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"Summarise the conversation in at most 250 tokens for continuing the conversation in future. Use the language used in the conversation, e.g. use English for English conversation, use zh-hant for traditional chinese conversation.",
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"Use the language used by the user (e.g. en-us for english conversation, zh-hant for chinese conversation, etc.) to summarise the conversation in at most 200 words. The summary will be used as prompt for you to continue the conversation in the future.",
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},
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ConfirmClearAll: "確認清除所有對話、設定數據?",
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},
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@ -462,6 +462,7 @@ export const useChatStore = create<ChatStore>()(
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const context = session.context.slice();
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// long term memory
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if (
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session.sendMemory &&
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session.memoryPrompt &&
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@ -471,9 +472,33 @@ export const useChatStore = create<ChatStore>()(
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context.push(memoryPrompt);
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}
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const recentMessages = context.concat(
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messages.slice(Math.max(0, n - config.historyMessageCount)),
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// get short term and unmemoried long term memory
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const shortTermMemoryMessageIndex = Math.max(
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0,
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n - config.historyMessageCount,
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);
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const longTermMemoryMessageIndex = session.lastSummarizeIndex;
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const oldestIndex = Math.min(
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shortTermMemoryMessageIndex,
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longTermMemoryMessageIndex,
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);
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const threshold = config.compressMessageLengthThreshold;
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// get recent messages as many as possible
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const reversedRecentMessages = [];
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for (
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let i = n - 1, count = 0;
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i >= oldestIndex && count < threshold;
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i -= 1
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) {
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const msg = messages[i];
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if (!msg || msg.isError) continue;
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count += msg.content.length;
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reversedRecentMessages.push(msg);
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}
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// concat
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const recentMessages = context.concat(reversedRecentMessages.reverse());
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return recentMessages;
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},
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@ -542,7 +567,10 @@ export const useChatStore = create<ChatStore>()(
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config.compressMessageLengthThreshold,
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);
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if (historyMsgLength > config.compressMessageLengthThreshold) {
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if (
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historyMsgLength > config.compressMessageLengthThreshold &&
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session.sendMemory
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) {
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requestChatStream(
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toBeSummarizedMsgs.concat({
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role: "system",
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