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Quick start guide for Machine Learning practitioners to setup a backend REST API endpoint for Dialogflow CX Custom Webhook usage

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Dialogflow CX Custom Webhook for ML users - Quick Start Guide

This repository serves as a quick start guide and working example for new Dialogflow CX users who are Machine Learning practitioners to quickly setup a working backend REST API endpoint.

This repo will be useful for users who want to productionize their models not limited to NLP models such as:

  1. Language detection
  2. Sentiment classification
  3. Toxic comments classification
  4. Spam classification

Get started

  1. Go to deploy folder to see the guide on how to setup your backend endpoint, you can choose either Cloud Function or Cloud Run(containerized)
  2. Go to integration folder how to include your custom webhook to your dialogflow

What you need

  1. Google Cloud SDK
  2. Dialogflow CX setup

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Quick start guide for Machine Learning practitioners to setup a backend REST API endpoint for Dialogflow CX Custom Webhook usage

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