https://github.com/crypto-artisan/google-ccai-customized-templates
https://github.com/crypto-artisan/google-ccai-customized-templates
Last synced: 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/crypto-artisan/google-ccai-customized-templates
- Owner: crypto-artisan
- License: apache-2.0
- Created: 2024-02-08T09:35:51.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-09T01:28:41.000Z (over 1 year ago)
- Last Synced: 2025-01-19T22:23:01.604Z (4 months ago)
- Language: Jupyter Notebook
- Size: 53.5 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
Awesome Lists containing this project
README
# Google Cloud Contact Center AI Samples
[](LICENSE)
[](https://github.com/marketplace/actions/super-linter)Welcome to the Google Cloud
[Contact Center AI](https://cloud.google.com/solutions/contact-center) sample
repository.## Overview
The repository contains samples, tutorials, and demos that demonstrate how to
use Google Cloud Conversational AI services, including:* [Contact Center AI](https://cloud.google.com/solutions/contact-center)
* [Dialogflow](https://cloud.google.com/dialogflow)
* [Speech APIs](https://cloud.google.com/speech-to-text)## Samples
*
[Dialogflow CX Webhook Python Sample](https://github.com/GoogleCloudPlatform/contact-center-ai-samples/tree/main/dialogflow-cx):
This project uses Google Cloud Functions to create a webhook for a Dialogflow
CX agent*
[Dialogflow CX Samples - Node.js](https://github.com/GoogleCloudPlatform/contact-center-ai-samples/tree/main/dialogflow-cx-nodejs)*
[Webhook Samples](https://github.com/GoogleCloudPlatform/contact-center-ai-samples/tree/main/dialogflow-cx-nodejs/dialogflow-cx-webhook-nodejs):
Demonstrates how to integrate webhooks with Dialogflow CX*
[Shirt Order Agent - Using Terraform with Dialogflow CX](https://github.com/GoogleCloudPlatform/contact-center-ai-samples/tree/main/dialogflow-cx/shirt-order-agent):
Demonstrates how to use Terraform to provision a Dialogflow CX agent*
[Divebooker Agent - Increase intent coverage with generative response](https://github.com/GoogleCloudPlatform/contact-center-ai-samples/tree/main/divebooker-agent):
This agent is intended to be used with the Generative Response functionality
in Dialogflow CX and the corresponding codelab## Contributing
Contributions welcome! See the [Contributing Guide](https://github.com/GoogleCloudPlatform/contact-center-ai-samples/blob/main/CONTRIBUTING.md).
## Getting help
Please use the
[issues page](https://github.com/GoogleCloudPlatform/contact-center-ai-samples/issues)
to provide feedback or submit a bug report.## Disclaimer
This is not an officially supported Google product. The code in this repository
is for demonstrative purposes only.