Build a custom, responsive chatbot in Google Cloud
Learn to build a custom frontend for a Dialogflow chatbot to create a natural conversational experience for users, then enhance it with Cloud Vision so that it can analyze uploaded images and include that analysis in responses.
Go back
How to create a front-end Django client for Dialogflow
How to create a front-end Django client for Dialogflow
Create a custom Django frontend for Dialogflow
This codelab introduces the concept of creating a custom front-end client for a Dialogflow application
How to integrate Vision API with Dialogflow
How to integrate Vision API with Dialogflow
Integrate Vision API with Dialogflow
This codelab leads you through creating a simple static website and hosting it on Google Cloud Storage. In this codelab you'll create a CNAME record pointing at the Cloud Storage API, create a bucket, upload your static site files, set access permissions, edit the website configuration, and test the website.
Production-ready chatbots with SpringML
Production-ready chatbots with SpringML
Build a custom, responsive chatbot in Google Cloud quiz
Take a quiz, earn a badge. Correctly answer three questions to earn a Build a custom, responsive chatbot in Google Cloud badge.