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mcp-google-sheets

call-text-model.ts1.66 kB
import { clarifaiAuth } from '../../'; import { Property, createAction } from '@activepieces/pieces-framework'; import { CommonClarifaiProps, callClarifaiModel, cleanMultiOutputResponse, textToInput, } from '../common'; import { Data } from 'clarifai-nodejs-grpc/proto/clarifai/api/resources_pb'; export const textClassifierModelPredictAction = createAction({ auth: clarifaiAuth, name: 'text_classifier_model', description: 'Call a text classifier AI model to recognize concepts', displayName: 'Classify Text', props: { modelUrl: CommonClarifaiProps.modelUrl, txt: Property.LongText({ description: 'Text to classify', displayName: 'Input Text', required: true, }), }, async run(ctx) { const { auth } = ctx; const { modelUrl, txt } = ctx.propsValue; const input = textToInput(txt); const outputs = await callClarifaiModel({ auth, modelUrl, input, }); return cleanMultiOutputResponse(outputs); }, }); export const textToTextModelPredictAction = createAction({ auth: clarifaiAuth, name: 'text_text_model', description: 'Call a text to text AI model', displayName: 'Text to Text', props: { modelUrl: CommonClarifaiProps.modelUrl, txt: Property.LongText({ description: 'Text to classify', displayName: 'Input Text', required: true, }), }, async run(ctx) { const { auth } = ctx; const { modelUrl, txt } = ctx.propsValue; const input = textToInput(txt); const outputs = await callClarifaiModel({ auth, modelUrl, input, }); return cleanMultiOutputResponse(outputs); }, });

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