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MultiModal : Adding functionality to base OpenAI Chat Model

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This commit is contained in:
vinodkiran
2024-01-24 18:25:22 +05:30
parent 318686e622
commit 3ce22d0dde
7 changed files with 97 additions and 48 deletions
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packages/components/nodes/chains/ConversationChain/ConversationChain.ts
+2 -15
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@@ -8,8 +8,7 @@ import { flatten } from 'lodash'
import { Document } from 'langchain/document'
import { RunnableSequence } from 'langchain/schema/runnable'
import { StringOutputParser } from 'langchain/schema/output_parser'
import { addImagesToMessages, processSpeechToText } from '../../../src/MultiModalUtils'
import { HumanMessage } from 'langchain/schema'
import { injectChainNodeData } from '../../../src/MultiModalUtils'
let systemMessage = `The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.`
const inputKey = 'input'
@@ -75,7 +74,7 @@ class ConversationChain_Chains implements INode {
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const memory = nodeData.inputs?.memory
input = await processSpeechToText(nodeData, input, options)
injectChainNodeData(nodeData, options)
const chain = prepareChain(nodeData, options, this.sessionId)
@@ -132,24 +131,12 @@ const prepareChatPrompt = (nodeData: INodeData, options: ICommonObject) => {
if (finalText) systemMessage = `${systemMessage}\nThe AI has the following context:\n${finalText}`
// TODO: add audio uploads
// if (options.uploads.length > 0) {
// const audioUploads = getAudioUploads(options.uploads)
// for (const upload of audioUploads) {
// await this.processAudioWithWhisper(upload, chatMessages)
// }
// }
const imageContent = addImagesToMessages(nodeData, options)
//TODO, this should not be any[], what interface should it be?
let promptMessages: any[] = [
SystemMessagePromptTemplate.fromTemplate(prompt ? `${prompt}\n${systemMessage}` : systemMessage),
new MessagesPlaceholder(memory.memoryKey ?? 'chat_history'),
HumanMessagePromptTemplate.fromTemplate(`{${inputKey}}`)
]
if (imageContent.length > 0) {
promptMessages.push(new HumanMessage({ content: imageContent }))
}
const chatPrompt = ChatPromptTemplate.fromMessages(promptMessages)
return chatPrompt
packages/components/nodes/chains/LLMChain/LLMChain.ts
+2
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@@ -8,6 +8,7 @@ import { formatResponse, injectOutputParser } from '../../outputparsers/OutputPa
import { BaseLLMOutputParser } from 'langchain/schema/output_parser'
import { OutputFixingParser } from 'langchain/output_parsers'
import { checkInputs, Moderation, streamResponse } from '../../moderation/Moderation'
import { injectChainNodeData } from '../../../src/MultiModalUtils'
class LLMChain_Chains implements INode {
label: string
@@ -129,6 +130,7 @@ class LLMChain_Chains implements INode {
if (!this.outputParser && outputParser) {
this.outputParser = outputParser
}
injectChainNodeData(nodeData, options)
promptValues = injectOutputParser(this.outputParser, chain, promptValues)
const res = await runPrediction(inputVariables, chain, input, promptValues, options, nodeData)
// eslint-disable-next-line no-console
packages/components/nodes/chatmodels/ChatOpenAI/ChatOpenAI.ts
+5 -17
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@@ -3,6 +3,7 @@ import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../
import { ChatOpenAI, OpenAIChatInput } from 'langchain/chat_models/openai'
import { BaseCache } from 'langchain/schema'
import { BaseLLMParams } from 'langchain/llms/base'
import { FlowiseChatOpenAI } from './FlowiseChatOpenAI'
class ChatOpenAI_ChatModels implements INode {
label: string
@@ -157,13 +158,7 @@ class ChatOpenAI_ChatModels implements INode {
label: 'Allow Image Uploads',
name: 'allowImageUploads',
type: 'boolean',
default: false,
optional: true
},
{
label: 'Allow Audio Uploads',
name: 'allowAudioUploads',
type: 'boolean',
description: 'Enabling this option, would default the model to gpt-4-vision-preview',
default: false,
optional: true
},
@@ -236,7 +231,6 @@ class ChatOpenAI_ChatModels implements INode {
const baseOptions = nodeData.inputs?.baseOptions
const allowImageUploads = nodeData.inputs?.allowImageUploads as boolean
const allowAudioUploads = nodeData.inputs?.allowAudioUploads as boolean
const allowSpeechToText = nodeData.inputs?.allowSpeechToText as boolean
const speechToTextMode = nodeData.inputs?.speechToTextMode as string
const imageResolution = nodeData.inputs?.imageResolution as string
@@ -269,24 +263,18 @@ class ChatOpenAI_ChatModels implements INode {
throw new Error("Invalid JSON in the ChatOpenAI's BaseOptions: " + exception)
}
}
const model = new ChatOpenAI(obj, {
basePath,
const model = new FlowiseChatOpenAI(obj, {
baseURL: basePath,
baseOptions: parsedBaseOptions
})
const multiModal = {
allowImageUploads: allowImageUploads ?? false,
allowAudioUploads: allowAudioUploads ?? false,
allowSpeechToText: allowSpeechToText ?? false,
imageResolution,
speechToTextMode
}
Object.defineProperty(model, 'multiModal', {
enumerable: true,
configurable: true,
writable: true,
value: multiModal
})
model.multiModal = multiModal
return model
}
}
packages/components/nodes/chatmodels/ChatOpenAI/FlowiseChatOpenAI.ts
+71
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@@ -0,0 +1,71 @@
import { ChatOpenAI, OpenAIChatInput } from 'langchain/chat_models/openai'
import { BaseChatModelParams } from 'langchain/chat_models/base'
import type { ClientOptions } from 'openai'
import type { LegacyOpenAIInput } from '@langchain/openai/dist/types'
import { BaseLanguageModelInput } from 'langchain/base_language'
import { ChatOpenAICallOptions } from '@langchain/openai/dist/chat_models'
import { BaseMessageChunk, BaseMessageLike, HumanMessage, LLMResult } from 'langchain/schema'
import { Callbacks } from '@langchain/core/callbacks/manager'
import { ICommonObject, INodeData } from '../../../src'
import { addImagesToMessages, checkSpeechToText } from '../../../src/MultiModalUtils'
import { ChatPromptTemplate, PromptTemplate } from 'langchain/prompts'
export class FlowiseChatOpenAI extends ChatOpenAI {
multiModal: {}
//TODO: Should be class variables and not static
public static chainNodeData: INodeData
public static chainNodeOptions: ICommonObject
constructor(
fields?: Partial<OpenAIChatInput> & BaseChatModelParams & { openAIApiKey?: string },
/** @deprecated */
configuration?: ClientOptions & LegacyOpenAIInput
) {
super(fields)
}
async invoke(input: BaseLanguageModelInput, options?: ChatOpenAICallOptions): Promise<BaseMessageChunk> {
//input.messages
return super.invoke(input, options)
}
async generate(messages: BaseMessageLike[][], options?: string[] | ChatOpenAICallOptions, callbacks?: Callbacks): Promise<LLMResult> {
//messages
await this.injectMultiModalMessages(messages)
return super.generate(messages, options, callbacks)
}
private async injectMultiModalMessages(messages: BaseMessageLike[][]) {
const nodeData = FlowiseChatOpenAI.chainNodeData
const optionsData = FlowiseChatOpenAI.chainNodeOptions
let audioTrans = await checkSpeechToText(nodeData, optionsData)
if (audioTrans) {
if (messages.length > 0) {
const lastMessage = messages[0].pop() as HumanMessage
if (!nodeData.inputs?.prompt) {
lastMessage.content = audioTrans
} else if (nodeData.inputs?.prompt instanceof ChatPromptTemplate) {
lastMessage.content = audioTrans
} else if (nodeData.inputs?.prompt instanceof PromptTemplate) {
let prompt = nodeData.inputs?.prompt as PromptTemplate
let inputVar = prompt.inputVariables[0]
let formattedValues: any = {}
formattedValues[inputVar] = audioTrans
lastMessage.content = await prompt.format(formattedValues)
}
messages[0].push(lastMessage)
}
}
const messageContent = addImagesToMessages(nodeData, optionsData)
if (messageContent) {
if (messages[0].length > 0 && messages[0][messages[0].length - 1] instanceof HumanMessage) {
const lastMessage = messages[0].pop()
if (lastMessage instanceof HumanMessage) {
lastMessage.content = messageContent
this.modelName = 'gpt-4-vision-preview'
}
messages[0].push(lastMessage as HumanMessage)
}
}
}
}
packages/components/src/MultiModalUtils.ts
+14 -3
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@@ -6,15 +6,26 @@ import path from 'path'
import { getUserHome } from './utils'
import fs from 'fs'
import { MessageContent } from '@langchain/core/dist/messages'
import { FlowiseChatOpenAI } from '../nodes/chatmodels/ChatOpenAI/FlowiseChatOpenAI'
export const processSpeechToText = async (nodeData: INodeData, input: string, options: ICommonObject) => {
export const injectChainNodeData = (nodeData: INodeData, options: ICommonObject) => {
let model = nodeData.inputs?.model as BaseChatModel
if (model instanceof FlowiseChatOpenAI) {
// TODO: this should not be static, need to figure out how to pass the nodeData and options to the invoke method
FlowiseChatOpenAI.chainNodeOptions = options
FlowiseChatOpenAI.chainNodeData = nodeData
}
}
export const checkSpeechToText = async (nodeData: INodeData, options: ICommonObject) => {
const MODEL_NAME = 'whisper-1'
let input = undefined
let model = nodeData.inputs?.model as BaseChatModel
if (model instanceof ChatOpenAI && (model as any).multiModal) {
const multiModalConfig = (model as any).multiModal
if (options?.uploads) {
if (options.uploads.length === 1 && input.length === 0 && options.uploads[0].mime === 'audio/webm') {
if (options.uploads.length === 1 && options.uploads[0].mime === 'audio/webm') {
const upload = options.uploads[0]
//special case, text input is empty, but we have an upload (recorded audio)
if (multiModalConfig.allowSpeechToText) {
packages/server/src/index.ts
+1 -9
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@@ -474,7 +474,6 @@ export class App {
const allowances: IUploadFileSizeAndTypes[] = []
let allowSpeechToText = false
let allowImageUploads = false
let allowAudioUploads = false
flowObj.nodes.forEach((node: IReactFlowNode) => {
if (uploadAllowedCategoryNodes.indexOf(node.data.category) > -1) {
logger.debug(`[server]: Found Eligible Node ${node.data.type}, Allowing Uploads.`)
@@ -484,18 +483,11 @@ export class App {
node.data.inputParams.map((param: INodeParams) => {
if (param.name === 'allowImageUploads' && node.data.inputs?.['allowImageUploads'] && !allowImageUploads) {
allowances.push({
fileTypes: 'image/gif;image/jpeg;image/png;image/webp'.split(';'),
fileTypes: 'image/gif;image/jpeg;image/png;image/webp;'.split(';'),
maxUploadSize: 5
})
allowImageUploads = true
}
if (param.name === 'allowAudioUploads' && node.data.inputs?.['allowAudioUploads'] && !allowAudioUploads) {
allowances.push({
fileTypes: 'audio/mpeg;audio/x-wav;audio/mp4'.split(';'),
maxUploadSize: 5
})
allowAudioUploads = true
}
if (param.name === 'allowSpeechToText' && node.data.inputs?.['allowSpeechToText']) {
allowSpeechToText = true
}
packages/ui/src/views/chatmessage/ChatMessage.js
+2 -4
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@@ -23,7 +23,7 @@ import {
Typography
} from '@mui/material'
import { useTheme } from '@mui/material/styles'
import { IconCircleDot, IconDownload, IconSend, IconMicrophone, IconPhotoPlus, IconSquare, IconTrash, IconX } from '@tabler/icons'
import { IconCircleDot, IconDownload, IconSend, IconMicrophone, IconPhotoPlus, IconTrash, IconX } from '@tabler/icons'
import robotPNG from 'assets/images/robot.png'
import userPNG from 'assets/images/account.png'
import audioUploadSVG from 'assets/images/wave-sound.jpg'
@@ -897,9 +897,7 @@ export const ChatMessage = ({ open, chatflowid, isDialog }) => {
<IconX color={loading || !chatflowid ? '#9e9e9e' : customization.isDarkMode ? 'white' : '#1e88e5'} />
</IconButton>
<IconButton onClick={onRecordingStopped} size='small'>
<IconSquare
color={loading || !chatflowid ? '#9e9e9e' : customization.isDarkMode ? 'white' : '#1e88e5'}
/>
<IconSend color={loading || !chatflowid ? '#9e9e9e' : customization.isDarkMode ? 'white' : '#1e88e5'} />
</IconButton>
</div>
</Box>