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packages/components/nodes/chains/ImageConversationChain/ImageConversationChain.ts

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+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { RetrievalQAChain } from 'langchain/chains'
+import { BaseRetriever } from 'langchain/schema/retriever'
+import { getBaseClasses } from '../../../src/utils'
+import { BaseLanguageModel } from 'langchain/base_language'
+import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
+
+class ImageConversationChain_Chains implements INode {
+    label: string
+    name: string
+    version: number
+    type: string
+    icon: string
+    category: string
+    baseClasses: string[]
+    description: string
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Image Conversation Chain'
+        this.name = 'imageConversationChain'
+        this.version = 1.0
+        this.type = 'ImageConversationChain'
+        this.icon = 'image.png'
+        this.category = 'Chains'
+        this.description = 'QA chain to answer a question based on the retrieved images'
+        this.baseClasses = [this.type, ...getBaseClasses(RetrievalQAChain)]
+        this.inputs = [
+            {
+                label: 'Image',
+                name: 'Image',
+                type: 'Image'
+            },
+            {
+                label: 'myBard',
+                name: 'myBard',
+                type: 'myBard'
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData): Promise<any> {
+        const myBard = nodeData.inputs?.myBard
+        const image = nodeData.inputs?.image as string
+
+        //const chain = RetrievalQAChain.fromLLM(model, vectorStoreRetriever, { verbose: process.env.DEBUG === 'true' ? true : false })
+        //return chain
+    }
+
+    async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
+        const chain = nodeData.instance as RetrievalQAChain
+        const myBard = nodeData.inputs?.myBard
+        const image = nodeData.inputs?.image as string
+        const obj = {
+            query: input
+        }
+        const loggerHandler = new ConsoleCallbackHandler(options.logger)
+        const callbacks = await additionalCallbacks(nodeData, options)
+
+        if (options.socketIO && options.socketIOClientId) {
+            const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
+            const res = await chain.call(obj, [loggerHandler, handler, ...callbacks])
+            return (await myBard.ask(obj, {image: image}))
+        } else {
+            const res = await chain.call(obj, [loggerHandler, ...callbacks])
+            return (await myBard.ask(obj, {image: image}))
+        }
+    }
+}
+
+module.exports = { nodeClass: ImageConversationChain_Chains }