open-webui/src/routes/(app)/+page.svelte
2024-01-17 17:43:45 -08:00

722 lines
19 KiB
Svelte

<script lang="ts">
import { v4 as uuidv4 } from 'uuid';
import toast from 'svelte-french-toast';
import { onMount, tick } from 'svelte';
import { goto } from '$app/navigation';
import { page } from '$app/stores';
import { models, modelfiles, user, settings, chats, chatId, config } from '$lib/stores';
import { copyToClipboard, splitStream } from '$lib/utils';
import { generateChatCompletion, generateTitle } from '$lib/apis/ollama';
import { createNewChat, getChatList, updateChatById } from '$lib/apis/chats';
import { queryVectorDB } from '$lib/apis/rag';
import { generateOpenAIChatCompletion } from '$lib/apis/openai';
import MessageInput from '$lib/components/chat/MessageInput.svelte';
import Messages from '$lib/components/chat/Messages.svelte';
import ModelSelector from '$lib/components/chat/ModelSelector.svelte';
import Navbar from '$lib/components/layout/Navbar.svelte';
import { RAGTemplate } from '$lib/utils/rag';
let stopResponseFlag = false;
let autoScroll = true;
let processing = '';
let selectedModels = [''];
let selectedModelfile = null;
$: selectedModelfile =
selectedModels.length === 1 &&
$modelfiles.filter((modelfile) => modelfile.tagName === selectedModels[0]).length > 0
? $modelfiles.filter((modelfile) => modelfile.tagName === selectedModels[0])[0]
: null;
let selectedModelfiles = {};
$: selectedModelfiles = selectedModels.reduce((a, tagName, i, arr) => {
const modelfile =
$modelfiles.filter((modelfile) => modelfile.tagName === tagName)?.at(0) ?? undefined;
return {
...a,
...(modelfile && { [tagName]: modelfile })
};
}, {});
let chat = null;
let title = '';
let prompt = '';
let files = [];
let messages = [];
let history = {
messages: {},
currentId: null
};
$: if (history.currentId !== null) {
let _messages = [];
let currentMessage = history.messages[history.currentId];
while (currentMessage !== null) {
_messages.unshift({ ...currentMessage });
currentMessage =
currentMessage.parentId !== null ? history.messages[currentMessage.parentId] : null;
}
messages = _messages;
} else {
messages = [];
}
onMount(async () => {
await initNewChat();
});
//////////////////////////
// Web functions
//////////////////////////
const initNewChat = async () => {
window.history.replaceState(history.state, '', `/`);
console.log('initNewChat');
await chatId.set('');
console.log($chatId);
autoScroll = true;
title = '';
messages = [];
history = {
messages: {},
currentId: null
};
console.log($config);
if ($page.url.searchParams.get('models')) {
selectedModels = $page.url.searchParams.get('models')?.split(',');
} else if ($settings?.models) {
selectedModels = $settings?.models;
} else if ($config?.default_models) {
selectedModels = $config?.default_models.split(',');
} else {
selectedModels = [''];
}
let _settings = JSON.parse(localStorage.getItem('settings') ?? '{}');
settings.set({
..._settings
});
};
//////////////////////////
// Ollama functions
//////////////////////////
const submitPrompt = async (userPrompt, _user = null) => {
console.log('submitPrompt', $chatId);
if (selectedModels.includes('')) {
toast.error('Model not selected');
} else if (messages.length != 0 && messages.at(-1).done != true) {
// Response not done
console.log('wait');
} else if (
files.length > 0 &&
files.filter((file) => file.upload_status === false).length > 0
) {
// Upload not done
toast.error(
`Oops! Hold tight! Your files are still in the processing oven. We're cooking them up to perfection. Please be patient and we'll let you know once they're ready.`
);
} else {
// Reset chat message textarea height
document.getElementById('chat-textarea').style.height = '';
// Create user message
let userMessageId = uuidv4();
let userMessage = {
id: userMessageId,
parentId: messages.length !== 0 ? messages.at(-1).id : null,
childrenIds: [],
role: 'user',
user: _user ?? undefined,
content: userPrompt,
files: files.length > 0 ? files : undefined,
timestamp: Math.floor(Date.now() / 1000) // Unix epoch
};
// Add message to history and Set currentId to messageId
history.messages[userMessageId] = userMessage;
history.currentId = userMessageId;
// Append messageId to childrenIds of parent message
if (messages.length !== 0) {
history.messages[messages.at(-1).id].childrenIds.push(userMessageId);
}
// Wait until history/message have been updated
await tick();
// Create new chat if only one message in messages
if (messages.length == 1) {
if ($settings.saveChatHistory ?? true) {
chat = await createNewChat(localStorage.token, {
id: $chatId,
title: 'New Chat',
models: selectedModels,
system: $settings.system ?? undefined,
options: {
...($settings.options ?? {})
},
messages: messages,
history: history,
timestamp: Date.now()
});
await chats.set(await getChatList(localStorage.token));
await chatId.set(chat.id);
} else {
await chatId.set('local');
}
await tick();
}
// Reset chat input textarea
prompt = '';
files = [];
// Send prompt
await sendPrompt(userPrompt, userMessageId);
}
};
const sendPrompt = async (prompt, parentId) => {
const _chatId = JSON.parse(JSON.stringify($chatId));
const docs = messages
.filter((message) => message?.files ?? null)
.map((message) => message.files.filter((item) => item.type === 'doc'))
.flat(1);
console.log(docs);
if (docs.length > 0) {
processing = 'Reading';
const query = history.messages[parentId].content;
let relevantContexts = await Promise.all(
docs.map(async (doc) => {
return await queryVectorDB(localStorage.token, doc.collection_name, query, 4).catch(
(error) => {
console.log(error);
return null;
}
);
})
);
relevantContexts = relevantContexts.filter((context) => context);
const contextString = relevantContexts.reduce((a, context, i, arr) => {
return `${a}${context.documents.join(' ')}\n`;
}, '');
console.log(contextString);
history.messages[parentId].raContent = RAGTemplate(contextString, query);
history.messages[parentId].contexts = relevantContexts;
await tick();
processing = '';
}
await Promise.all(
selectedModels.map(async (model) => {
console.log(model);
const modelTag = $models.filter((m) => m.name === model).at(0);
if (modelTag?.external) {
await sendPromptOpenAI(model, prompt, parentId, _chatId);
} else if (modelTag) {
await sendPromptOllama(model, prompt, parentId, _chatId);
} else {
toast.error(`Model ${model} not found`);
}
})
);
await chats.set(await getChatList(localStorage.token));
};
const sendPromptOllama = async (model, userPrompt, parentId, _chatId) => {
// Create response message
let responseMessageId = uuidv4();
let responseMessage = {
parentId: parentId,
id: responseMessageId,
childrenIds: [],
role: 'assistant',
content: '',
model: model,
timestamp: Math.floor(Date.now() / 1000) // Unix epoch
};
// Add message to history and Set currentId to messageId
history.messages[responseMessageId] = responseMessage;
history.currentId = responseMessageId;
// Append messageId to childrenIds of parent message
if (parentId !== null) {
history.messages[parentId].childrenIds = [
...history.messages[parentId].childrenIds,
responseMessageId
];
}
// Wait until history/message have been updated
await tick();
// Scroll down
window.scrollTo({ top: document.body.scrollHeight });
const res = await generateChatCompletion(localStorage.token, {
model: model,
messages: [
$settings.system
? {
role: 'system',
content: $settings.system
}
: undefined,
...messages
]
.filter((message) => message)
.map((message, idx, arr) => ({
role: message.role,
content: arr.length - 2 !== idx ? message.content : message?.raContent ?? message.content,
...(message.files && {
images: message.files
.filter((file) => file.type === 'image')
.map((file) => file.url.slice(file.url.indexOf(',') + 1))
})
})),
options: {
...($settings.options ?? {})
},
format: $settings.requestFormat ?? undefined
});
if (res && res.ok) {
const reader = res.body
.pipeThrough(new TextDecoderStream())
.pipeThrough(splitStream('\n'))
.getReader();
while (true) {
const { value, done } = await reader.read();
if (done || stopResponseFlag || _chatId !== $chatId) {
responseMessage.done = true;
messages = messages;
break;
}
try {
let lines = value.split('\n');
for (const line of lines) {
if (line !== '') {
console.log(line);
let data = JSON.parse(line);
if ('detail' in data) {
throw data;
}
if (data.done == false) {
if (responseMessage.content == '' && data.message.content == '\n') {
continue;
} else {
responseMessage.content += data.message.content;
messages = messages;
}
} else {
responseMessage.done = true;
if (responseMessage.content == '') {
responseMessage.error = true;
responseMessage.content =
'Oops! No text generated from Ollama, Please try again.';
}
responseMessage.context = data.context ?? null;
responseMessage.info = {
total_duration: data.total_duration,
load_duration: data.load_duration,
sample_count: data.sample_count,
sample_duration: data.sample_duration,
prompt_eval_count: data.prompt_eval_count,
prompt_eval_duration: data.prompt_eval_duration,
eval_count: data.eval_count,
eval_duration: data.eval_duration
};
messages = messages;
if ($settings.notificationEnabled && !document.hasFocus()) {
const notification = new Notification(
selectedModelfile
? `${
selectedModelfile.title.charAt(0).toUpperCase() +
selectedModelfile.title.slice(1)
}`
: `Ollama - ${model}`,
{
body: responseMessage.content,
icon: selectedModelfile?.imageUrl ?? '/favicon.png'
}
);
}
if ($settings.responseAutoCopy) {
copyToClipboard(responseMessage.content);
}
}
}
}
} catch (error) {
console.log(error);
if ('detail' in error) {
toast.error(error.detail);
}
break;
}
if (autoScroll) {
window.scrollTo({ top: document.body.scrollHeight });
}
}
if ($chatId == _chatId) {
if ($settings.saveChatHistory ?? true) {
chat = await updateChatById(localStorage.token, _chatId, {
messages: messages,
history: history
});
await chats.set(await getChatList(localStorage.token));
}
}
} else {
if (res !== null) {
const error = await res.json();
console.log(error);
if ('detail' in error) {
toast.error(error.detail);
responseMessage.content = error.detail;
} else {
toast.error(error.error);
responseMessage.content = error.error;
}
} else {
toast.error(`Uh-oh! There was an issue connecting to Ollama.`);
responseMessage.content = `Uh-oh! There was an issue connecting to Ollama.`;
}
responseMessage.error = true;
responseMessage.content = `Uh-oh! There was an issue connecting to Ollama.`;
responseMessage.done = true;
messages = messages;
}
stopResponseFlag = false;
await tick();
if (autoScroll) {
window.scrollTo({ top: document.body.scrollHeight });
}
if (messages.length == 2 && messages.at(1).content !== '') {
window.history.replaceState(history.state, '', `/c/${_chatId}`);
await generateChatTitle(_chatId, userPrompt);
}
};
const sendPromptOpenAI = async (model, userPrompt, parentId, _chatId) => {
let responseMessageId = uuidv4();
let responseMessage = {
parentId: parentId,
id: responseMessageId,
childrenIds: [],
role: 'assistant',
content: '',
model: model,
timestamp: Math.floor(Date.now() / 1000) // Unix epoch
};
history.messages[responseMessageId] = responseMessage;
history.currentId = responseMessageId;
if (parentId !== null) {
history.messages[parentId].childrenIds = [
...history.messages[parentId].childrenIds,
responseMessageId
];
}
window.scrollTo({ top: document.body.scrollHeight });
const res = await generateOpenAIChatCompletion(localStorage.token, {
model: model,
stream: true,
messages: [
$settings.system
? {
role: 'system',
content: $settings.system
}
: undefined,
...messages
]
.filter((message) => message)
.map((message, idx, arr) => ({
role: message.role,
...(message.files
? {
content: [
{
type: 'text',
text:
arr.length - 1 !== idx
? message.content
: message?.raContent ?? message.content
},
...message.files
.filter((file) => file.type === 'image')
.map((file) => ({
type: 'image_url',
image_url: {
url: file.url
}
}))
]
}
: {
content:
arr.length - 1 !== idx ? message.content : message?.raContent ?? message.content
})
})),
seed: $settings?.options?.seed ?? undefined,
stop: $settings?.options?.stop ?? undefined,
temperature: $settings?.options?.temperature ?? undefined,
top_p: $settings?.options?.top_p ?? undefined,
num_ctx: $settings?.options?.num_ctx ?? undefined,
frequency_penalty: $settings?.options?.repeat_penalty ?? undefined,
max_tokens: $settings?.options?.num_predict ?? undefined
});
if (res && res.ok) {
const reader = res.body
.pipeThrough(new TextDecoderStream())
.pipeThrough(splitStream('\n'))
.getReader();
while (true) {
const { value, done } = await reader.read();
if (done || stopResponseFlag || _chatId !== $chatId) {
responseMessage.done = true;
messages = messages;
break;
}
try {
let lines = value.split('\n');
for (const line of lines) {
if (line !== '') {
console.log(line);
if (line === 'data: [DONE]') {
responseMessage.done = true;
messages = messages;
} else {
let data = JSON.parse(line.replace(/^data: /, ''));
console.log(data);
if (responseMessage.content == '' && data.choices[0].delta.content == '\n') {
continue;
} else {
responseMessage.content += data.choices[0].delta.content ?? '';
messages = messages;
}
}
}
}
} catch (error) {
console.log(error);
}
if ($settings.notificationEnabled && !document.hasFocus()) {
const notification = new Notification(`OpenAI ${model}`, {
body: responseMessage.content,
icon: '/favicon.png'
});
}
if ($settings.responseAutoCopy) {
copyToClipboard(responseMessage.content);
}
if (autoScroll) {
window.scrollTo({ top: document.body.scrollHeight });
}
}
if ($chatId == _chatId) {
if ($settings.saveChatHistory ?? true) {
chat = await updateChatById(localStorage.token, _chatId, {
messages: messages,
history: history
});
await chats.set(await getChatList(localStorage.token));
}
}
} else {
if (res !== null) {
const error = await res.json();
console.log(error);
if ('detail' in error) {
toast.error(error.detail);
responseMessage.content = error.detail;
} else {
if ('message' in error.error) {
toast.error(error.error.message);
responseMessage.content = error.error.message;
} else {
toast.error(error.error);
responseMessage.content = error.error;
}
}
} else {
toast.error(`Uh-oh! There was an issue connecting to ${model}.`);
responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
}
responseMessage.error = true;
responseMessage.content = `Uh-oh! There was an issue connecting to ${model}.`;
responseMessage.done = true;
messages = messages;
}
stopResponseFlag = false;
await tick();
if (autoScroll) {
window.scrollTo({ top: document.body.scrollHeight });
}
if (messages.length == 2) {
window.history.replaceState(history.state, '', `/c/${_chatId}`);
await setChatTitle(_chatId, userPrompt);
}
};
const stopResponse = () => {
stopResponseFlag = true;
console.log('stopResponse');
};
const regenerateResponse = async () => {
console.log('regenerateResponse');
if (messages.length != 0 && messages.at(-1).done == true) {
messages.splice(messages.length - 1, 1);
messages = messages;
let userMessage = messages.at(-1);
let userPrompt = userMessage.content;
await sendPrompt(userPrompt, userMessage.id);
}
};
const generateChatTitle = async (_chatId, userPrompt) => {
if ($settings.titleAutoGenerate ?? true) {
const title = await generateTitle(
localStorage.token,
$settings?.titleAutoGenerateModel ?? selectedModels[0],
userPrompt
);
if (title) {
await setChatTitle(_chatId, title);
}
} else {
await setChatTitle(_chatId, `${userPrompt}`);
}
};
const setChatTitle = async (_chatId, _title) => {
if (_chatId === $chatId) {
title = _title;
}
if ($settings.saveChatHistory ?? true) {
chat = await updateChatById(localStorage.token, _chatId, { title: _title });
await chats.set(await getChatList(localStorage.token));
}
};
</script>
<svelte:window
on:scroll={(e) => {
autoScroll = window.innerHeight + window.scrollY >= document.body.offsetHeight - 40;
}}
/>
<Navbar {title} shareEnabled={messages.length > 0} {initNewChat} />
<div class="min-h-screen w-full flex justify-center">
<div class=" py-2.5 flex flex-col justify-between w-full">
<div class="max-w-2xl mx-auto w-full px-3 md:px-0 mt-10">
<ModelSelector bind:selectedModels disabled={messages.length > 0} />
</div>
<div class=" h-full mt-10 mb-32 w-full flex flex-col">
<Messages
chatId={$chatId}
{selectedModels}
{selectedModelfiles}
{processing}
bind:history
bind:messages
bind:autoScroll
bottomPadding={files.length > 0}
{sendPrompt}
{regenerateResponse}
/>
</div>
</div>
<MessageInput
bind:files
bind:prompt
bind:autoScroll
suggestionPrompts={selectedModelfile?.suggestionPrompts ?? [
{
title: ['Help me study', 'vocabulary for a college entrance exam'],
content: `Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option.`
},
{
title: ['Give me ideas', `for what to do with my kids' art`],
content: `What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter.`
},
{
title: ['Tell me a fun fact', 'about the Roman Empire'],
content: 'Tell me a random fun fact about the Roman Empire'
},
{
title: ['Show me a code snippet', `of a website's sticky header`],
content: `Show me a code snippet of a website's sticky header in CSS and JavaScript.`
}
]}
{messages}
{submitPrompt}
{stopResponse}
/>
</div>