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/* | |
* @ts-nocheck | |
* Preventing TS checks with files presented in the video for a better presentation. | |
*/ | |
import type { Message } from 'ai'; | |
import React, { type RefCallback, useEffect, useState } from 'react'; | |
import { ClientOnly } from 'remix-utils/client-only'; | |
import { Menu } from '~/components/sidebar/Menu.client'; | |
import { IconButton } from '~/components/ui/IconButton'; | |
import { Workbench } from '~/components/workbench/Workbench.client'; | |
import { classNames } from '~/utils/classNames'; | |
import { MODEL_LIST, PROVIDER_LIST, initializeModelList } from '~/utils/constants'; | |
import { Messages } from './Messages.client'; | |
import { SendButton } from './SendButton.client'; | |
import { APIKeyManager } from './APIKeyManager'; | |
import Cookies from 'js-cookie'; | |
import * as Tooltip from '@radix-ui/react-tooltip'; | |
import styles from './BaseChat.module.scss'; | |
import type { ProviderInfo } from '~/utils/types'; | |
import { ExportChatButton } from '~/components/chat/chatExportAndImport/ExportChatButton'; | |
import { ImportButtons } from '~/components/chat/chatExportAndImport/ImportButtons'; | |
import { ExamplePrompts } from '~/components/chat/ExamplePrompts'; | |
import FilePreview from './FilePreview'; | |
import { ModelSelector } from '~/components/chat/ModelSelector'; | |
import { SpeechRecognitionButton } from '~/components/chat/SpeechRecognition'; | |
const TEXTAREA_MIN_HEIGHT = 76; | |
interface BaseChatProps { | |
textareaRef?: React.RefObject<HTMLTextAreaElement> | undefined; | |
messageRef?: RefCallback<HTMLDivElement> | undefined; | |
scrollRef?: RefCallback<HTMLDivElement> | undefined; | |
showChat?: boolean; | |
chatStarted?: boolean; | |
isStreaming?: boolean; | |
messages?: Message[]; | |
description?: string; | |
enhancingPrompt?: boolean; | |
promptEnhanced?: boolean; | |
input?: string; | |
model?: string; | |
setModel?: (model: string) => void; | |
provider?: ProviderInfo; | |
setProvider?: (provider: ProviderInfo) => void; | |
handleStop?: () => void; | |
sendMessage?: (event: React.UIEvent, messageInput?: string) => void; | |
handleInputChange?: (event: React.ChangeEvent<HTMLTextAreaElement>) => void; | |
enhancePrompt?: () => void; | |
importChat?: (description: string, messages: Message[]) => Promise<void>; | |
exportChat?: () => void; | |
uploadedFiles?: File[]; | |
setUploadedFiles?: (files: File[]) => void; | |
imageDataList?: string[]; | |
setImageDataList?: (dataList: string[]) => void; | |
} | |
export const BaseChat = React.forwardRef<HTMLDivElement, BaseChatProps>( | |
( | |
{ | |
textareaRef, | |
messageRef, | |
scrollRef, | |
showChat = true, | |
chatStarted = false, | |
isStreaming = false, | |
model, | |
setModel, | |
provider, | |
setProvider, | |
input = '', | |
enhancingPrompt, | |
handleInputChange, | |
promptEnhanced, | |
enhancePrompt, | |
sendMessage, | |
handleStop, | |
importChat, | |
exportChat, | |
uploadedFiles = [], | |
setUploadedFiles, | |
imageDataList = [], | |
setImageDataList, | |
messages, | |
}, | |
ref, | |
) => { | |
const TEXTAREA_MAX_HEIGHT = chatStarted ? 400 : 200; | |
const [apiKeys, setApiKeys] = useState<Record<string, string>>({}); | |
const [modelList, setModelList] = useState(MODEL_LIST); | |
const [isModelSettingsCollapsed, setIsModelSettingsCollapsed] = useState(false); | |
const [isListening, setIsListening] = useState(false); | |
const [recognition, setRecognition] = useState<SpeechRecognition | null>(null); | |
const [transcript, setTranscript] = useState(''); | |
console.log(transcript); | |
useEffect(() => { | |
// Load API keys from cookies on component mount | |
try { | |
const storedApiKeys = Cookies.get('apiKeys'); | |
if (storedApiKeys) { | |
const parsedKeys = JSON.parse(storedApiKeys); | |
if (typeof parsedKeys === 'object' && parsedKeys !== null) { | |
setApiKeys(parsedKeys); | |
} | |
} | |
} catch (error) { | |
console.error('Error loading API keys from cookies:', error); | |
// Clear invalid cookie data | |
Cookies.remove('apiKeys'); | |
} | |
initializeModelList().then((modelList) => { | |
setModelList(modelList); | |
}); | |
if (typeof window !== 'undefined' && ('SpeechRecognition' in window || 'webkitSpeechRecognition' in window)) { | |
const SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition; | |
const recognition = new SpeechRecognition(); | |
recognition.continuous = true; | |
recognition.interimResults = true; | |
recognition.onresult = (event) => { | |
const transcript = Array.from(event.results) | |
.map((result) => result[0]) | |
.map((result) => result.transcript) | |
.join(''); | |
setTranscript(transcript); | |
if (handleInputChange) { | |
const syntheticEvent = { | |
target: { value: transcript }, | |
} as React.ChangeEvent<HTMLTextAreaElement>; | |
handleInputChange(syntheticEvent); | |
} | |
}; | |
recognition.onerror = (event) => { | |
console.error('Speech recognition error:', event.error); | |
setIsListening(false); | |
}; | |
setRecognition(recognition); | |
} | |
}, []); | |
const startListening = () => { | |
if (recognition) { | |
recognition.start(); | |
setIsListening(true); | |
} | |
}; | |
const stopListening = () => { | |
if (recognition) { | |
recognition.stop(); | |
setIsListening(false); | |
} | |
}; | |
const handleSendMessage = (event: React.UIEvent, messageInput?: string) => { | |
if (sendMessage) { | |
sendMessage(event, messageInput); | |
if (recognition) { | |
recognition.abort(); // Stop current recognition | |
setTranscript(''); // Clear transcript | |
setIsListening(false); | |
// Clear the input by triggering handleInputChange with empty value | |
if (handleInputChange) { | |
const syntheticEvent = { | |
target: { value: '' }, | |
} as React.ChangeEvent<HTMLTextAreaElement>; | |
handleInputChange(syntheticEvent); | |
} | |
} | |
} | |
}; | |
const updateApiKey = (provider: string, key: string) => { | |
try { | |
const updatedApiKeys = { ...apiKeys, [provider]: key }; | |
setApiKeys(updatedApiKeys); | |
// Save updated API keys to cookies with 30 day expiry and secure settings | |
Cookies.set('apiKeys', JSON.stringify(updatedApiKeys), { | |
expires: 30, // 30 days | |
secure: true, // Only send over HTTPS | |
sameSite: 'strict', // Protect against CSRF | |
path: '/', // Accessible across the site | |
}); | |
} catch (error) { | |
console.error('Error saving API keys to cookies:', error); | |
} | |
}; | |
const handleFileUpload = () => { | |
const input = document.createElement('input'); | |
input.type = 'file'; | |
input.accept = 'image/*'; | |
input.onchange = async (e) => { | |
const file = (e.target as HTMLInputElement).files?.[0]; | |
if (file) { | |
const reader = new FileReader(); | |
reader.onload = (e) => { | |
const base64Image = e.target?.result as string; | |
setUploadedFiles?.([...uploadedFiles, file]); | |
setImageDataList?.([...imageDataList, base64Image]); | |
}; | |
reader.readAsDataURL(file); | |
} | |
}; | |
input.click(); | |
}; | |
const handlePaste = async (e: React.ClipboardEvent) => { | |
const items = e.clipboardData?.items; | |
if (!items) { | |
return; | |
} | |
for (const item of items) { | |
if (item.type.startsWith('image/')) { | |
e.preventDefault(); | |
const file = item.getAsFile(); | |
if (file) { | |
const reader = new FileReader(); | |
reader.onload = (e) => { | |
const base64Image = e.target?.result as string; | |
setUploadedFiles?.([...uploadedFiles, file]); | |
setImageDataList?.([...imageDataList, base64Image]); | |
}; | |
reader.readAsDataURL(file); | |
} | |
break; | |
} | |
} | |
}; | |
const baseChat = ( | |
<div | |
ref={ref} | |
className={classNames( | |
styles.BaseChat, | |
'relative flex flex-col lg:flex-row h-full w-full overflow-hidden bg-bolt-elements-background-depth-1', | |
)} | |
data-chat-visible={showChat} | |
> | |
<div className={classNames(styles.RayContainer)}> | |
<div className={classNames(styles.LightRayOne)}></div> | |
<div className={classNames(styles.LightRayTwo)}></div> | |
<div className={classNames(styles.LightRayThree)}></div> | |
<div className={classNames(styles.LightRayFour)}></div> | |
<div className={classNames(styles.LightRayFive)}></div> | |
</div> | |
<ClientOnly>{() => <Menu />}</ClientOnly> | |
<div ref={scrollRef} className="flex flex-col lg:flex-row overflow-y-auto w-full h-full"> | |
<div className={classNames(styles.Chat, 'flex flex-col flex-grow lg:min-w-[var(--chat-min-width)] h-full')}> | |
{!chatStarted && ( | |
<div id="intro" className="mt-[26vh] max-w-chat mx-auto text-center px-4 lg:px-0"> | |
<h1 className="text-3xl lg:text-6xl font-bold text-bolt-elements-textPrimary mb-4 animate-fade-in"> | |
Where ideas begin | |
</h1> | |
<p className="text-md lg:text-xl mb-8 text-bolt-elements-textSecondary animate-fade-in animation-delay-200"> | |
Bring ideas to life in seconds or get help on existing projects. | |
</p> | |
</div> | |
)} | |
<div | |
className={classNames('pt-6 px-2 sm:px-6', { | |
'h-full flex flex-col': chatStarted, | |
})} | |
> | |
<ClientOnly> | |
{() => { | |
return chatStarted ? ( | |
<Messages | |
ref={messageRef} | |
className="flex flex-col w-full flex-1 max-w-chat pb-6 mx-auto z-1" | |
messages={messages} | |
isStreaming={isStreaming} | |
/> | |
) : null; | |
}} | |
</ClientOnly> | |
<div | |
className={classNames( | |
'bg-bolt-elements-background-depth-2 p-3 rounded-lg border border-bolt-elements-borderColor relative w-full max-w-chat mx-auto z-prompt mb-6', | |
{ | |
'sticky bottom-2': chatStarted, | |
}, | |
)} | |
> | |
<svg className={classNames(styles.PromptEffectContainer)}> | |
<defs> | |
<linearGradient | |
id="line-gradient" | |
x1="20%" | |
y1="0%" | |
x2="-14%" | |
y2="10%" | |
gradientUnits="userSpaceOnUse" | |
gradientTransform="rotate(-45)" | |
> | |
<stop offset="0%" stopColor="#1488fc" stopOpacity="0%"></stop> | |
<stop offset="40%" stopColor="#1488fc" stopOpacity="80%"></stop> | |
<stop offset="50%" stopColor="#1488fc" stopOpacity="80%"></stop> | |
<stop offset="100%" stopColor="#1488fc" stopOpacity="0%"></stop> | |
</linearGradient> | |
<linearGradient id="shine-gradient"> | |
<stop offset="0%" stopColor="white" stopOpacity="0%"></stop> | |
<stop offset="40%" stopColor="#8adaff" stopOpacity="80%"></stop> | |
<stop offset="50%" stopColor="#8adaff" stopOpacity="80%"></stop> | |
<stop offset="100%" stopColor="white" stopOpacity="0%"></stop> | |
</linearGradient> | |
</defs> | |
<rect className={classNames(styles.PromptEffectLine)} pathLength="100" strokeLinecap="round"></rect> | |
<rect className={classNames(styles.PromptShine)} x="48" y="24" width="70" height="1"></rect> | |
</svg> | |
<div> | |
<div className="flex justify-between items-center mb-2"> | |
<button | |
onClick={() => setIsModelSettingsCollapsed(!isModelSettingsCollapsed)} | |
className={classNames('flex items-center gap-2 p-2 rounded-lg transition-all', { | |
'bg-bolt-elements-item-backgroundAccent text-bolt-elements-item-contentAccent': | |
isModelSettingsCollapsed, | |
'bg-bolt-elements-item-backgroundDefault text-bolt-elements-item-contentDefault': | |
!isModelSettingsCollapsed, | |
})} | |
> | |
<div className={`i-ph:caret-${isModelSettingsCollapsed ? 'right' : 'down'} text-lg`} /> | |
<span>Model Settings</span> | |
</button> | |
</div> | |
<div className={isModelSettingsCollapsed ? 'hidden' : ''}> | |
<ModelSelector | |
key={provider?.name + ':' + modelList.length} | |
model={model} | |
setModel={setModel} | |
modelList={modelList} | |
provider={provider} | |
setProvider={setProvider} | |
providerList={PROVIDER_LIST} | |
apiKeys={apiKeys} | |
/> | |
{provider && ( | |
<APIKeyManager | |
provider={provider} | |
apiKey={apiKeys[provider.name] || ''} | |
setApiKey={(key) => updateApiKey(provider.name, key)} | |
/> | |
)} | |
</div> | |
</div> | |
<FilePreview | |
files={uploadedFiles} | |
imageDataList={imageDataList} | |
onRemove={(index) => { | |
setUploadedFiles?.(uploadedFiles.filter((_, i) => i !== index)); | |
setImageDataList?.(imageDataList.filter((_, i) => i !== index)); | |
}} | |
/> | |
<div | |
className={classNames( | |
'relative shadow-xs border border-bolt-elements-borderColor backdrop-blur rounded-lg', | |
)} | |
> | |
<textarea | |
ref={textareaRef} | |
className={classNames( | |
'w-full pl-4 pt-4 pr-16 focus:outline-none resize-none text-bolt-elements-textPrimary placeholder-bolt-elements-textTertiary bg-transparent text-sm', | |
'transition-all duration-200', | |
'hover:border-bolt-elements-focus', | |
)} | |
onDragEnter={(e) => { | |
e.preventDefault(); | |
e.currentTarget.style.border = '2px solid #1488fc'; | |
}} | |
onDragOver={(e) => { | |
e.preventDefault(); | |
e.currentTarget.style.border = '2px solid #1488fc'; | |
}} | |
onDragLeave={(e) => { | |
e.preventDefault(); | |
e.currentTarget.style.border = '1px solid var(--bolt-elements-borderColor)'; | |
}} | |
onDrop={(e) => { | |
e.preventDefault(); | |
e.currentTarget.style.border = '1px solid var(--bolt-elements-borderColor)'; | |
const files = Array.from(e.dataTransfer.files); | |
files.forEach((file) => { | |
if (file.type.startsWith('image/')) { | |
const reader = new FileReader(); | |
reader.onload = (e) => { | |
const base64Image = e.target?.result as string; | |
setUploadedFiles?.([...uploadedFiles, file]); | |
setImageDataList?.([...imageDataList, base64Image]); | |
}; | |
reader.readAsDataURL(file); | |
} | |
}); | |
}} | |
onKeyDown={(event) => { | |
if (event.key === 'Enter') { | |
if (event.shiftKey) { | |
return; | |
} | |
event.preventDefault(); | |
if (isStreaming) { | |
handleStop?.(); | |
return; | |
} | |
handleSendMessage?.(event); | |
} | |
}} | |
value={input} | |
onChange={(event) => { | |
handleInputChange?.(event); | |
}} | |
onPaste={handlePaste} | |
style={{ | |
minHeight: TEXTAREA_MIN_HEIGHT, | |
maxHeight: TEXTAREA_MAX_HEIGHT, | |
}} | |
placeholder="How can Bolt help you today?" | |
translate="no" | |
/> | |
<ClientOnly> | |
{() => ( | |
<SendButton | |
show={input.length > 0 || isStreaming || uploadedFiles.length > 0} | |
isStreaming={isStreaming} | |
onClick={(event) => { | |
if (isStreaming) { | |
handleStop?.(); | |
return; | |
} | |
if (input.length > 0 || uploadedFiles.length > 0) { | |
handleSendMessage?.(event); | |
} | |
}} | |
/> | |
)} | |
</ClientOnly> | |
<div className="flex justify-between items-center text-sm p-4 pt-2"> | |
<div className="flex gap-1 items-center"> | |
<IconButton title="Upload file" className="transition-all" onClick={() => handleFileUpload()}> | |
<div className="i-ph:paperclip text-xl"></div> | |
</IconButton> | |
<IconButton | |
title="Enhance prompt" | |
disabled={input.length === 0 || enhancingPrompt} | |
className={classNames( | |
'transition-all', | |
enhancingPrompt ? 'opacity-100' : '', | |
promptEnhanced ? 'text-bolt-elements-item-contentAccent' : '', | |
promptEnhanced ? 'pr-1.5' : '', | |
promptEnhanced ? 'enabled:hover:bg-bolt-elements-item-backgroundAccent' : '', | |
)} | |
onClick={() => enhancePrompt?.()} | |
> | |
{enhancingPrompt ? ( | |
<> | |
<div className="i-svg-spinners:90-ring-with-bg text-bolt-elements-loader-progress text-xl animate-spin"></div> | |
<div className="ml-1.5">Enhancing prompt...</div> | |
</> | |
) : ( | |
<> | |
<div className="i-bolt:stars text-xl"></div> | |
{promptEnhanced && <div className="ml-1.5">Prompt enhanced</div>} | |
</> | |
)} | |
</IconButton> | |
<SpeechRecognitionButton | |
isListening={isListening} | |
onStart={startListening} | |
onStop={stopListening} | |
disabled={isStreaming} | |
/> | |
{chatStarted && <ClientOnly>{() => <ExportChatButton exportChat={exportChat} />}</ClientOnly>} | |
</div> | |
{input.length > 3 ? ( | |
<div className="text-xs text-bolt-elements-textTertiary"> | |
Use <kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Shift</kbd> +{' '} | |
<kbd className="kdb px-1.5 py-0.5 rounded bg-bolt-elements-background-depth-2">Return</kbd> a | |
new line | |
</div> | |
) : null} | |
</div> | |
</div> | |
</div> | |
</div> | |
{!chatStarted && ImportButtons(importChat)} | |
{!chatStarted && | |
ExamplePrompts((event, messageInput) => { | |
if (isStreaming) { | |
handleStop?.(); | |
return; | |
} | |
handleSendMessage?.(event, messageInput); | |
})} | |
</div> | |
<ClientOnly>{() => <Workbench chatStarted={chatStarted} isStreaming={isStreaming} />}</ClientOnly> | |
</div> | |
</div> | |
); | |
return <Tooltip.Provider delayDuration={200}>{baseChat}</Tooltip.Provider>; | |
}, | |
); | |