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import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { HFInput, HuggingFaceInference } from 'langchain/llms/hf'
class HuggingFaceInference_LLMs implements INode {
label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'HuggingFace Inference'
this.name = 'huggingFaceInference_LLMs'
this.type = 'HuggingFaceInference'
this.icon = 'huggingface.png'
this.category = 'LLMs'
this.description = 'Wrapper around HuggingFace large language models'
this.baseClasses = [this.type, ...getBaseClasses(HuggingFaceInference)]
this.inputs = [
{
label: 'Model',
name: 'model',
type: 'string',
placeholder: 'gpt2'
},
{
label: 'HuggingFace Api Key',
name: 'apiKey',
type: 'password'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
description: 'Temperature parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
description: 'Max Tokens parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
description: 'Top Probability parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
},
{
label: 'Top K',
name: 'hfTopK',
type: 'number',
description: 'Top K parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
},
{
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
description: 'Frequency Penalty parameter may not apply to certain model. Please check available model parameters',
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const model = nodeData.inputs?.model as string
const apiKey = nodeData.inputs?.apiKey as string
const temperature = nodeData.inputs?.temperature as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
const hfTopK = nodeData.inputs?.hfTopK as string
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
const obj: Partial<HFInput> = {
model,
apiKey
}
if (temperature) obj.temperature = parseInt(temperature, 10)
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (hfTopK) obj.topK = parseInt(hfTopK, 10)
if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
const huggingFace = new HuggingFaceInference(obj)
return huggingFace
}
}
module.exports = { nodeClass: HuggingFaceInference_LLMs }
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