9 Commits

Author SHA1 Message Date
ItzCrazyKns
1e99fe8d69 feat(package): bump version 2024-10-31 11:08:49 +05:30
ItzCrazyKns
012dfa5a74 feat(listLineOutputParser): handle unclosed tags 2024-10-30 10:29:21 +05:30
ItzCrazyKns
65d057a05e feat(suggestions): handle custom OpenAI 2024-10-30 10:29:06 +05:30
ItzCrazyKns
3e7645614f feat(image-search): handle custom OpenAI 2024-10-30 10:28:40 +05:30
ItzCrazyKns
7c6ee2ead1 feat(video-search): handle custom OpenAI 2024-10-30 10:28:31 +05:30
ItzCrazyKns
540f38ae68 feat(empty-chat): add settings for mobile 2024-10-30 09:14:09 +05:30
ItzCrazyKns
f1c0b5435b feat(delete-chat): use window.location to refresh page 2024-10-30 09:11:48 +05:30
ItzCrazyKns
b33e5fefba feat(navbar): remove comments 2024-10-29 20:00:31 +05:30
ItzCrazyKns
03d0ff2ca4 feat(navbar): make delete & plus button work 2024-10-29 19:59:58 +05:30
14 changed files with 234 additions and 57 deletions

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@ -1,6 +1,6 @@
{
"name": "perplexica-backend",
"version": "1.9.1",
"version": "1.9.2",
"license": "MIT",
"author": "ItzCrazyKns",
"scripts": {

View File

@ -23,7 +23,7 @@ class LineListOutputParser extends BaseOutputParser<string[]> {
const startKeyIndex = text.indexOf(`<${this.key}>`);
const endKeyIndex = text.indexOf(`</${this.key}>`);
if (startKeyIndex === -1 || endKeyIndex === -1) {
if (startKeyIndex === -1 && endKeyIndex === -1) {
return [];
}

View File

@ -4,14 +4,28 @@ import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { getAvailableChatModelProviders } from '../lib/providers';
import { HumanMessage, AIMessage } from '@langchain/core/messages';
import logger from '../utils/logger';
import { ChatOpenAI } from '@langchain/openai';
const router = express.Router();
interface ChatModel {
provider: string;
model: string;
customOpenAIBaseURL?: string;
customOpenAIKey?: string;
}
interface ImageSearchBody {
query: string;
chatHistory: any[];
chatModel?: ChatModel;
}
router.post('/', async (req, res) => {
try {
let { query, chat_history, chat_model_provider, chat_model } = req.body;
let body: ImageSearchBody = req.body;
chat_history = chat_history.map((msg: any) => {
const chatHistory = body.chatHistory.map((msg: any) => {
if (msg.role === 'user') {
return new HumanMessage(msg.content);
} else if (msg.role === 'assistant') {
@ -19,22 +33,50 @@ router.post('/', async (req, res) => {
}
});
const chatModels = await getAvailableChatModelProviders();
const provider = chat_model_provider ?? Object.keys(chatModels)[0];
const chatModel = chat_model ?? Object.keys(chatModels[provider])[0];
const chatModelProviders = await getAvailableChatModelProviders();
const chatModelProvider =
body.chatModel?.provider || Object.keys(chatModelProviders)[0];
const chatModel =
body.chatModel?.model ||
Object.keys(chatModelProviders[chatModelProvider])[0];
let llm: BaseChatModel | undefined;
if (chatModels[provider] && chatModels[provider][chatModel]) {
llm = chatModels[provider][chatModel].model as BaseChatModel | undefined;
if (body.chatModel?.provider === 'custom_openai') {
if (
!body.chatModel?.customOpenAIBaseURL ||
!body.chatModel?.customOpenAIKey
) {
return res
.status(400)
.json({ message: 'Missing custom OpenAI base URL or key' });
}
llm = new ChatOpenAI({
modelName: body.chatModel.model,
openAIApiKey: body.chatModel.customOpenAIKey,
temperature: 0.7,
configuration: {
baseURL: body.chatModel.customOpenAIBaseURL,
},
}) as unknown as BaseChatModel;
} else if (
chatModelProviders[chatModelProvider] &&
chatModelProviders[chatModelProvider][chatModel]
) {
llm = chatModelProviders[chatModelProvider][chatModel]
.model as unknown as BaseChatModel | undefined;
}
if (!llm) {
res.status(500).json({ message: 'Invalid LLM model selected' });
return;
return res.status(400).json({ message: 'Invalid model selected' });
}
const images = await handleImageSearch({ query, chat_history }, llm);
const images = await handleImageSearch(
{ query: body.query, chat_history: chatHistory },
llm,
);
res.status(200).json({ images });
} catch (err) {

View File

@ -4,14 +4,27 @@ import { BaseChatModel } from '@langchain/core/language_models/chat_models';
import { getAvailableChatModelProviders } from '../lib/providers';
import { HumanMessage, AIMessage } from '@langchain/core/messages';
import logger from '../utils/logger';
import { ChatOpenAI } from '@langchain/openai';
const router = express.Router();
interface ChatModel {
provider: string;
model: string;
customOpenAIBaseURL?: string;
customOpenAIKey?: string;
}
interface SuggestionsBody {
chatHistory: any[];
chatModel?: ChatModel;
}
router.post('/', async (req, res) => {
try {
let { chat_history, chat_model, chat_model_provider } = req.body;
let body: SuggestionsBody = req.body;
chat_history = chat_history.map((msg: any) => {
const chatHistory = body.chatHistory.map((msg: any) => {
if (msg.role === 'user') {
return new HumanMessage(msg.content);
} else if (msg.role === 'assistant') {
@ -19,22 +32,50 @@ router.post('/', async (req, res) => {
}
});
const chatModels = await getAvailableChatModelProviders();
const provider = chat_model_provider ?? Object.keys(chatModels)[0];
const chatModel = chat_model ?? Object.keys(chatModels[provider])[0];
const chatModelProviders = await getAvailableChatModelProviders();
const chatModelProvider =
body.chatModel?.provider || Object.keys(chatModelProviders)[0];
const chatModel =
body.chatModel?.model ||
Object.keys(chatModelProviders[chatModelProvider])[0];
let llm: BaseChatModel | undefined;
if (chatModels[provider] && chatModels[provider][chatModel]) {
llm = chatModels[provider][chatModel].model as BaseChatModel | undefined;
if (body.chatModel?.provider === 'custom_openai') {
if (
!body.chatModel?.customOpenAIBaseURL ||
!body.chatModel?.customOpenAIKey
) {
return res
.status(400)
.json({ message: 'Missing custom OpenAI base URL or key' });
}
llm = new ChatOpenAI({
modelName: body.chatModel.model,
openAIApiKey: body.chatModel.customOpenAIKey,
temperature: 0.7,
configuration: {
baseURL: body.chatModel.customOpenAIBaseURL,
},
}) as unknown as BaseChatModel;
} else if (
chatModelProviders[chatModelProvider] &&
chatModelProviders[chatModelProvider][chatModel]
) {
llm = chatModelProviders[chatModelProvider][chatModel]
.model as unknown as BaseChatModel | undefined;
}
if (!llm) {
res.status(500).json({ message: 'Invalid LLM model selected' });
return;
return res.status(400).json({ message: 'Invalid model selected' });
}
const suggestions = await generateSuggestions({ chat_history }, llm);
const suggestions = await generateSuggestions(
{ chat_history: chatHistory },
llm,
);
res.status(200).json({ suggestions: suggestions });
} catch (err) {

View File

@ -4,14 +4,28 @@ import { getAvailableChatModelProviders } from '../lib/providers';
import { HumanMessage, AIMessage } from '@langchain/core/messages';
import logger from '../utils/logger';
import handleVideoSearch from '../agents/videoSearchAgent';
import { ChatOpenAI } from '@langchain/openai';
const router = express.Router();
interface ChatModel {
provider: string;
model: string;
customOpenAIBaseURL?: string;
customOpenAIKey?: string;
}
interface VideoSearchBody {
query: string;
chatHistory: any[];
chatModel?: ChatModel;
}
router.post('/', async (req, res) => {
try {
let { query, chat_history, chat_model_provider, chat_model } = req.body;
let body: VideoSearchBody = req.body;
chat_history = chat_history.map((msg: any) => {
const chatHistory = body.chatHistory.map((msg: any) => {
if (msg.role === 'user') {
return new HumanMessage(msg.content);
} else if (msg.role === 'assistant') {
@ -19,22 +33,50 @@ router.post('/', async (req, res) => {
}
});
const chatModels = await getAvailableChatModelProviders();
const provider = chat_model_provider ?? Object.keys(chatModels)[0];
const chatModel = chat_model ?? Object.keys(chatModels[provider])[0];
const chatModelProviders = await getAvailableChatModelProviders();
const chatModelProvider =
body.chatModel?.provider || Object.keys(chatModelProviders)[0];
const chatModel =
body.chatModel?.model ||
Object.keys(chatModelProviders[chatModelProvider])[0];
let llm: BaseChatModel | undefined;
if (chatModels[provider] && chatModels[provider][chatModel]) {
llm = chatModels[provider][chatModel].model as BaseChatModel | undefined;
if (body.chatModel?.provider === 'custom_openai') {
if (
!body.chatModel?.customOpenAIBaseURL ||
!body.chatModel?.customOpenAIKey
) {
return res
.status(400)
.json({ message: 'Missing custom OpenAI base URL or key' });
}
llm = new ChatOpenAI({
modelName: body.chatModel.model,
openAIApiKey: body.chatModel.customOpenAIKey,
temperature: 0.7,
configuration: {
baseURL: body.chatModel.customOpenAIBaseURL,
},
}) as unknown as BaseChatModel;
} else if (
chatModelProviders[chatModelProvider] &&
chatModelProviders[chatModelProvider][chatModel]
) {
llm = chatModelProviders[chatModelProvider][chatModel]
.model as unknown as BaseChatModel | undefined;
}
if (!llm) {
res.status(500).json({ message: 'Invalid LLM model selected' });
return;
return res.status(400).json({ message: 'Invalid model selected' });
}
const videos = await handleVideoSearch({ chat_history, query }, llm);
const videos = await handleVideoSearch(
{ chat_history: chatHistory, query: body.query },
llm,
);
res.status(200).json({ videos });
} catch (err) {

View File

@ -318,6 +318,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
console.log('[DEBUG] closed');
}
};
// eslint-disable-next-line react-hooks/exhaustive-deps
}, []);
const messagesRef = useRef<Message[]>([]);
@ -503,7 +504,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
<div>
{messages.length > 0 ? (
<>
<Navbar messages={messages} />
<Navbar chatId={chatId!} messages={messages} />
<Chat
loading={loading}
messages={messages}

View File

@ -16,10 +16,12 @@ const DeleteChat = ({
chatId,
chats,
setChats,
redirect = false,
}: {
chatId: string;
chats: Chat[];
setChats: (chats: Chat[]) => void;
redirect?: boolean;
}) => {
const [confirmationDialogOpen, setConfirmationDialogOpen] = useState(false);
const [loading, setLoading] = useState(false);
@ -44,6 +46,10 @@ const DeleteChat = ({
const newChats = chats.filter((chat) => chat.id !== chatId);
setChats(newChats);
if (redirect) {
window.location.href = '/';
}
} catch (err: any) {
toast.error(err.message);
} finally {

View File

@ -1,4 +1,7 @@
import { Settings } from 'lucide-react';
import EmptyChatMessageInput from './EmptyChatMessageInput';
import SettingsDialog from './SettingsDialog';
import { useState } from 'react';
const EmptyChat = ({
sendMessage,
@ -13,8 +16,17 @@ const EmptyChat = ({
optimizationMode: string;
setOptimizationMode: (mode: string) => void;
}) => {
const [isSettingsOpen, setIsSettingsOpen] = useState(false);
return (
<div className="relative">
<SettingsDialog isOpen={isSettingsOpen} setIsOpen={setIsSettingsOpen} />
<div className="absolute w-full flex flex-row items-center justify-end mr-5 mt-5">
<Settings
className="cursor-pointer lg:hidden"
onClick={() => setIsSettingsOpen(true)}
/>
</div>
<div className="flex flex-col items-center justify-center min-h-screen max-w-screen-sm mx-auto p-2 space-y-8">
<h2 className="text-black/70 dark:text-white/70 text-3xl font-medium -mt-8">
Research begins here.

View File

@ -186,10 +186,10 @@ const MessageBox = ({
<div className="lg:sticky lg:top-20 flex flex-col items-center space-y-3 w-full lg:w-3/12 z-30 h-full pb-4">
<SearchImages
query={history[messageIndex - 1].content}
chat_history={history.slice(0, messageIndex - 1)}
chatHistory={history.slice(0, messageIndex - 1)}
/>
<SearchVideos
chat_history={history.slice(0, messageIndex - 1)}
chatHistory={history.slice(0, messageIndex - 1)}
query={history[messageIndex - 1].content}
/>
</div>

View File

@ -2,8 +2,15 @@ import { Clock, Edit, Share, Trash } from 'lucide-react';
import { Message } from './ChatWindow';
import { useEffect, useState } from 'react';
import { formatTimeDifference } from '@/lib/utils';
import DeleteChat from './DeleteChat';
const Navbar = ({ messages }: { messages: Message[] }) => {
const Navbar = ({
chatId,
messages,
}: {
messages: Message[];
chatId: string;
}) => {
const [title, setTitle] = useState<string>('');
const [timeAgo, setTimeAgo] = useState<string>('');
@ -39,10 +46,12 @@ const Navbar = ({ messages }: { messages: Message[] }) => {
return (
<div className="fixed z-40 top-0 left-0 right-0 px-4 lg:pl-[104px] lg:pr-6 lg:px-8 flex flex-row items-center justify-between w-full py-4 text-sm text-black dark:text-white/70 border-b bg-light-primary dark:bg-dark-primary border-light-100 dark:border-dark-200">
<Edit
size={17}
<a
href="/"
className="active:scale-95 transition duration-100 cursor-pointer lg:hidden"
/>
>
<Edit size={17} />
</a>
<div className="hidden lg:flex flex-row items-center justify-center space-x-2">
<Clock size={17} />
<p className="text-xs">{timeAgo} ago</p>
@ -54,10 +63,7 @@ const Navbar = ({ messages }: { messages: Message[] }) => {
size={17}
className="active:scale-95 transition duration-100 cursor-pointer"
/>
<Trash
size={17}
className="text-red-400 active:scale-95 transition duration-100 cursor-pointer"
/>
<DeleteChat redirect chatId={chatId} chats={[]} setChats={() => {}} />
</div>
</div>
);

View File

@ -13,10 +13,10 @@ type Image = {
const SearchImages = ({
query,
chat_history,
chatHistory,
}: {
query: string;
chat_history: Message[];
chatHistory: Message[];
}) => {
const [images, setImages] = useState<Image[] | null>(null);
const [loading, setLoading] = useState(false);
@ -33,6 +33,9 @@ const SearchImages = ({
const chatModelProvider = localStorage.getItem('chatModelProvider');
const chatModel = localStorage.getItem('chatModel');
const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
const customOpenAIKey = localStorage.getItem('openAIApiKey');
const res = await fetch(
`${process.env.NEXT_PUBLIC_API_URL}/images`,
{
@ -42,9 +45,15 @@ const SearchImages = ({
},
body: JSON.stringify({
query: query,
chat_history: chat_history,
chat_model_provider: chatModelProvider,
chat_model: chatModel,
chatHistory: chatHistory,
chatModel: {
provider: chatModelProvider,
model: chatModel,
...(chatModelProvider === 'custom_openai' && {
customOpenAIBaseURL: customOpenAIBaseURL,
customOpenAIKey: customOpenAIKey,
}),
},
}),
},
);

View File

@ -26,10 +26,10 @@ declare module 'yet-another-react-lightbox' {
const Searchvideos = ({
query,
chat_history,
chatHistory,
}: {
query: string;
chat_history: Message[];
chatHistory: Message[];
}) => {
const [videos, setVideos] = useState<Video[] | null>(null);
const [loading, setLoading] = useState(false);
@ -46,6 +46,9 @@ const Searchvideos = ({
const chatModelProvider = localStorage.getItem('chatModelProvider');
const chatModel = localStorage.getItem('chatModel');
const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
const customOpenAIKey = localStorage.getItem('openAIApiKey');
const res = await fetch(
`${process.env.NEXT_PUBLIC_API_URL}/videos`,
{
@ -55,9 +58,15 @@ const Searchvideos = ({
},
body: JSON.stringify({
query: query,
chat_history: chat_history,
chat_model_provider: chatModelProvider,
chat_model: chatModel,
chatHistory: chatHistory,
chatModel: {
provider: chatModelProvider,
model: chatModel,
...(chatModelProvider === 'custom_openai' && {
customOpenAIBaseURL: customOpenAIBaseURL,
customOpenAIKey: customOpenAIKey,
}),
},
}),
},
);

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@ -4,15 +4,24 @@ export const getSuggestions = async (chatHisory: Message[]) => {
const chatModel = localStorage.getItem('chatModel');
const chatModelProvider = localStorage.getItem('chatModelProvider');
const customOpenAIKey = localStorage.getItem('openAIApiKey');
const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
const res = await fetch(`${process.env.NEXT_PUBLIC_API_URL}/suggestions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
chat_history: chatHisory,
chat_model: chatModel,
chat_model_provider: chatModelProvider,
chatHistory: chatHisory,
chatModel: {
provider: chatModelProvider,
model: chatModel,
...(chatModelProvider === 'custom_openai' && {
customOpenAIKey,
customOpenAIBaseURL,
}),
},
}),
});

View File

@ -1,6 +1,6 @@
{
"name": "perplexica-frontend",
"version": "1.9.1",
"version": "1.9.2",
"license": "MIT",
"author": "ItzCrazyKns",
"scripts": {