add token text splitter

This commit is contained in:
chungyau97 2023-05-06 11:46:50 +07:00
parent aa0795c4ed
commit 61a0cee551
3 changed files with 94 additions and 1 deletions

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import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { TokenTextSplitter, TokenTextSplitterParams } from 'langchain/text_splitter'
import { TiktokenEncoding } from '@dqbd/tiktoken'
class TokenTextSplitter_TextSplitters implements INode {
label: string
name: string
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Token Text Splitter'
this.name = 'tokenTextSplitter'
this.type = 'TokenTextSplitter'
this.icon = 'tiktoken.svg'
this.category = 'Text Splitters'
this.description = `Splits a raw text string by first converting the text into BPE tokens, then split these tokens into chunks and convert the tokens within a single chunk back into text.`
this.baseClasses = [this.type, ...getBaseClasses(TokenTextSplitter)]
this.inputs = [
{
label: 'Encoding Name',
name: 'encodingName',
type: 'options',
options: [
{
label: 'gpt2',
name: 'gpt2'
},
{
label: 'r50k_base',
name: 'r50k_base'
},
{
label: 'p50k_base',
name: 'p50k_base'
},
{
label: 'p50k_edit',
name: 'p50k_edit'
},
{
label: 'cl100k_base',
name: 'cl100k_base'
}
],
default: 'gpt2'
},
{
label: 'Chunk Size',
name: 'chunkSize',
type: 'number',
default: 1000,
optional: true
},
{
label: 'Chunk Overlap',
name: 'chunkOverlap',
type: 'number',
optional: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const encodingName = nodeData.inputs?.encodingName as string
const chunkSize = nodeData.inputs?.chunkSize as string
const chunkOverlap = nodeData.inputs?.chunkOverlap as string
const obj = {} as TokenTextSplitterParams
obj.encodingName = encodingName as TiktokenEncoding
if (chunkSize) obj.chunkSize = parseInt(chunkSize, 10)
if (chunkOverlap) obj.chunkOverlap = parseInt(chunkOverlap, 10)
const splitter = new TokenTextSplitter(obj)
return splitter
}
}
module.exports = { nodeClass: TokenTextSplitter_TextSplitters }

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<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-hourglass" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
<path d="M6.5 7h11"></path>
<path d="M6.5 17h11"></path>
<path d="M6 20v-2a6 6 0 1 1 12 0v2a1 1 0 0 1 -1 1h-10a1 1 0 0 1 -1 -1z"></path>
<path d="M6 4v2a6 6 0 1 0 12 0v-2a1 1 0 0 0 -1 -1h-10a1 1 0 0 0 -1 1z"></path>
</svg>

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}, },
"license": "SEE LICENSE IN LICENSE.md", "license": "SEE LICENSE IN LICENSE.md",
"dependencies": { "dependencies": {
"@dqbd/tiktoken": "^1.0.4", "@dqbd/tiktoken": "^1.0.7",
"@huggingface/inference": "^1.6.3", "@huggingface/inference": "^1.6.3",
"@pinecone-database/pinecone": "^0.0.12", "@pinecone-database/pinecone": "^0.0.12",
"@supabase/supabase-js": "^2.21.0", "@supabase/supabase-js": "^2.21.0",