Merge remote-tracking branch 'origin/master' into ollama-auth
This commit is contained in:
commit
04d49f6faa
|
@ -17,6 +17,9 @@ jobs:
|
|||
- name: Checkout code
|
||||
uses: actions/checkout@v3
|
||||
|
||||
- name: Set up QEMU
|
||||
uses: docker/setup-qemu-action@v2
|
||||
|
||||
- name: Set up Docker Buildx
|
||||
uses: docker/setup-buildx-action@v2
|
||||
with:
|
||||
|
|
|
@ -13,6 +13,7 @@
|
|||
- [Ollama Connection Errors](#ollama-connection-errors)
|
||||
- [Using as a Search Engine](#using-as-a-search-engine)
|
||||
- [Using Perplexica's API](#using-perplexicas-api)
|
||||
- [Expose Perplexica to a network](#expose-perplexica-to-network)
|
||||
- [One-Click Deployment](#one-click-deployment)
|
||||
- [Upcoming Features](#upcoming-features)
|
||||
- [Support Us](#support-us)
|
||||
|
@ -133,6 +134,10 @@ Perplexica also provides an API for developers looking to integrate its powerful
|
|||
|
||||
For more details, check out the full documentation [here](https://github.com/ItzCrazyKns/Perplexica/tree/master/docs/API/SEARCH.md).
|
||||
|
||||
## Expose Perplexica to network
|
||||
|
||||
You can access Perplexica over your home network by following our networking guide [here](https://github.com/ItzCrazyKns/Perplexica/blob/master/docs/installation/NETWORKING.md).
|
||||
|
||||
## One-Click Deployment
|
||||
|
||||
[![Deploy to RepoCloud](https://d16t0pc4846x52.cloudfront.net/deploylobe.svg)](https://repocloud.io/details/?app_id=267)
|
||||
|
|
|
@ -1,4 +1,4 @@
|
|||
FROM node:slim
|
||||
FROM node:18-slim
|
||||
|
||||
WORKDIR /home/perplexica
|
||||
|
||||
|
@ -10,7 +10,7 @@ COPY yarn.lock /home/perplexica/
|
|||
|
||||
RUN mkdir /home/perplexica/data
|
||||
|
||||
RUN yarn install --frozen-lockfile
|
||||
RUN yarn install --frozen-lockfile --network-timeout 600000
|
||||
RUN yarn build
|
||||
|
||||
CMD ["yarn", "start"]
|
|
@ -1,6 +1,6 @@
|
|||
{
|
||||
"name": "perplexica-backend",
|
||||
"version": "1.9.0",
|
||||
"version": "1.9.2",
|
||||
"license": "MIT",
|
||||
"author": "ItzCrazyKns",
|
||||
"scripts": {
|
||||
|
|
|
@ -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 [];
|
||||
}
|
||||
|
||||
|
|
|
@ -22,12 +22,12 @@ export const loadGroqChatModels = async () => {
|
|||
},
|
||||
),
|
||||
},
|
||||
'llama-3.2-11b-text-preview': {
|
||||
displayName: 'Llama 3.2 11B Text',
|
||||
'llama-3.2-11b-vision-preview': {
|
||||
displayName: 'Llama 3.2 11B Vision',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'llama-3.2-11b-text-preview',
|
||||
modelName: 'llama-3.2-11b-vision-preview',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
|
@ -35,12 +35,12 @@ export const loadGroqChatModels = async () => {
|
|||
},
|
||||
),
|
||||
},
|
||||
'llama-3.2-90b-text-preview': {
|
||||
displayName: 'Llama 3.2 90B Text',
|
||||
'llama-3.2-90b-vision-preview': {
|
||||
displayName: 'Llama 3.2 90B Vision',
|
||||
model: new ChatOpenAI(
|
||||
{
|
||||
openAIApiKey: groqApiKey,
|
||||
modelName: 'llama-3.2-90b-text-preview',
|
||||
modelName: 'llama-3.2-90b-vision-preview',
|
||||
temperature: 0.7,
|
||||
},
|
||||
{
|
||||
|
|
|
@ -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) {
|
||||
|
|
|
@ -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) {
|
||||
|
|
|
@ -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) {
|
||||
|
|
|
@ -10,8 +10,8 @@ import type { BaseChatModel } from '@langchain/core/language_models/chat_models'
|
|||
import type { Embeddings } from '@langchain/core/embeddings';
|
||||
import logger from '../utils/logger';
|
||||
import db from '../db';
|
||||
import { chats, messages } from '../db/schema';
|
||||
import { eq } from 'drizzle-orm';
|
||||
import { chats, messages as messagesSchema } from '../db/schema';
|
||||
import { eq, asc, gt } from 'drizzle-orm';
|
||||
import crypto from 'crypto';
|
||||
|
||||
type Message = {
|
||||
|
@ -71,7 +71,7 @@ const handleEmitterEvents = (
|
|||
emitter.on('end', () => {
|
||||
ws.send(JSON.stringify({ type: 'messageEnd', messageId: messageId }));
|
||||
|
||||
db.insert(messages)
|
||||
db.insert(messagesSchema)
|
||||
.values({
|
||||
content: recievedMessage,
|
||||
chatId: chatId,
|
||||
|
@ -106,7 +106,9 @@ export const handleMessage = async (
|
|||
const parsedWSMessage = JSON.parse(message) as WSMessage;
|
||||
const parsedMessage = parsedWSMessage.message;
|
||||
|
||||
const id = crypto.randomBytes(7).toString('hex');
|
||||
const humanMessageId =
|
||||
parsedMessage.messageId ?? crypto.randomBytes(7).toString('hex');
|
||||
const aiMessageId = crypto.randomBytes(7).toString('hex');
|
||||
|
||||
if (!parsedMessage.content)
|
||||
return ws.send(
|
||||
|
@ -141,7 +143,7 @@ export const handleMessage = async (
|
|||
parsedWSMessage.optimizationMode,
|
||||
);
|
||||
|
||||
handleEmitterEvents(emitter, ws, id, parsedMessage.chatId);
|
||||
handleEmitterEvents(emitter, ws, aiMessageId, parsedMessage.chatId);
|
||||
|
||||
const chat = await db.query.chats.findFirst({
|
||||
where: eq(chats.id, parsedMessage.chatId),
|
||||
|
@ -159,18 +161,29 @@ export const handleMessage = async (
|
|||
.execute();
|
||||
}
|
||||
|
||||
await db
|
||||
.insert(messages)
|
||||
.values({
|
||||
content: parsedMessage.content,
|
||||
chatId: parsedMessage.chatId,
|
||||
messageId: id,
|
||||
role: 'user',
|
||||
metadata: JSON.stringify({
|
||||
createdAt: new Date(),
|
||||
}),
|
||||
})
|
||||
.execute();
|
||||
const messageExists = await db.query.messages.findFirst({
|
||||
where: eq(messagesSchema.messageId, humanMessageId),
|
||||
});
|
||||
|
||||
if (!messageExists) {
|
||||
await db
|
||||
.insert(messagesSchema)
|
||||
.values({
|
||||
content: parsedMessage.content,
|
||||
chatId: parsedMessage.chatId,
|
||||
messageId: humanMessageId,
|
||||
role: 'user',
|
||||
metadata: JSON.stringify({
|
||||
createdAt: new Date(),
|
||||
}),
|
||||
})
|
||||
.execute();
|
||||
} else {
|
||||
await db
|
||||
.delete(messagesSchema)
|
||||
.where(gt(messagesSchema.id, messageExists.id))
|
||||
.execute();
|
||||
}
|
||||
} else {
|
||||
ws.send(
|
||||
JSON.stringify({
|
||||
|
|
|
@ -355,6 +355,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
|
|||
console.log('[DEBUG] closed');
|
||||
}
|
||||
};
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, []);
|
||||
|
||||
const messagesRef = useRef<Message[]>([]);
|
||||
|
@ -373,8 +374,9 @@ const ChatWindow = ({ id }: { id?: string }) => {
|
|||
}
|
||||
}, [isMessagesLoaded, isWSReady]);
|
||||
|
||||
const sendMessage = async (message: string) => {
|
||||
const sendMessage = async (message: string, messageId?: string) => {
|
||||
if (loading) return;
|
||||
|
||||
setLoading(true);
|
||||
setMessageAppeared(false);
|
||||
|
||||
|
@ -382,12 +384,13 @@ const ChatWindow = ({ id }: { id?: string }) => {
|
|||
let recievedMessage = '';
|
||||
let added = false;
|
||||
|
||||
const messageId = crypto.randomBytes(7).toString('hex');
|
||||
messageId = messageId ?? crypto.randomBytes(7).toString('hex');
|
||||
|
||||
ws?.send(
|
||||
JSON.stringify({
|
||||
type: 'message',
|
||||
message: {
|
||||
messageId: messageId,
|
||||
chatId: chatId!,
|
||||
content: message,
|
||||
},
|
||||
|
@ -514,7 +517,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
|
|||
return [...prev.slice(0, messages.length > 2 ? index - 1 : 0)];
|
||||
});
|
||||
|
||||
sendMessage(message.content);
|
||||
sendMessage(message.content, message.messageId);
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
|
@ -541,7 +544,7 @@ const ChatWindow = ({ id }: { id?: string }) => {
|
|||
<div>
|
||||
{messages.length > 0 ? (
|
||||
<>
|
||||
<Navbar messages={messages} />
|
||||
<Navbar chatId={chatId!} messages={messages} />
|
||||
<Chat
|
||||
loading={loading}
|
||||
messages={messages}
|
||||
|
|
|
@ -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 {
|
||||
|
|
|
@ -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.
|
||||
|
|
|
@ -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>
|
||||
|
|
|
@ -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>
|
||||
);
|
||||
|
|
|
@ -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(
|
||||
`${process.env.NEXT_PUBLIC_API_URL}/images`,
|
||||
{
|
||||
|
@ -42,9 +45,15 @@ const SearchImages = ({
|
|||
},
|
||||
body: JSON.stringify({
|
||||
query: query,
|
||||
chat_history: chat_history,
|
||||
chat_model_provider: chatModelProvider,
|
||||
chat_model: chatModel,
|
||||
chatHistory: chatHistory,
|
||||
chatModel: {
|
||||
provider: chatModelProvider,
|
||||
model: chatModel,
|
||||
...(chatModelProvider === 'custom_openai' && {
|
||||
customOpenAIBaseURL: customOpenAIBaseURL,
|
||||
customOpenAIKey: customOpenAIKey,
|
||||
}),
|
||||
},
|
||||
}),
|
||||
},
|
||||
);
|
||||
|
|
|
@ -26,10 +26,10 @@ declare module 'yet-another-react-lightbox' {
|
|||
|
||||
const Searchvideos = ({
|
||||
query,
|
||||
chat_history,
|
||||
chatHistory,
|
||||
}: {
|
||||
query: string;
|
||||
chat_history: Message[];
|
||||
chatHistory: Message[];
|
||||
}) => {
|
||||
const [videos, setVideos] = useState<Video[] | null>(null);
|
||||
const [loading, setLoading] = useState(false);
|
||||
|
@ -46,6 +46,9 @@ const Searchvideos = ({
|
|||
const chatModelProvider = localStorage.getItem('chatModelProvider');
|
||||
const chatModel = localStorage.getItem('chatModel');
|
||||
|
||||
const customOpenAIBaseURL = localStorage.getItem('openAIBaseURL');
|
||||
const customOpenAIKey = localStorage.getItem('openAIApiKey');
|
||||
|
||||
const res = await fetch(
|
||||
`${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,
|
||||
}),
|
||||
},
|
||||
}),
|
||||
},
|
||||
);
|
||||
|
|
|
@ -128,7 +128,9 @@ const SettingsDialog = ({
|
|||
const chatModel =
|
||||
localStorage.getItem('chatModel') ||
|
||||
(data.chatModelProviders &&
|
||||
data.chatModelProviders[chatModelProvider]?.[0].name) ||
|
||||
data.chatModelProviders[chatModelProvider]?.length > 0
|
||||
? data.chatModelProviders[chatModelProvider][0].name
|
||||
: undefined) ||
|
||||
'';
|
||||
const embeddingModelProvider =
|
||||
localStorage.getItem('embeddingModelProvider') ||
|
||||
|
|
|
@ -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,
|
||||
}),
|
||||
},
|
||||
}),
|
||||
});
|
||||
|
||||
|
|
|
@ -1,6 +1,6 @@
|
|||
{
|
||||
"name": "perplexica-frontend",
|
||||
"version": "1.9.0",
|
||||
"version": "1.9.2",
|
||||
"license": "MIT",
|
||||
"author": "ItzCrazyKns",
|
||||
"scripts": {
|
||||
|
|
Loading…
Reference in New Issue