https://github.com/ajamous/dialogflow_restcomm

https://github.com/ajamous/dialogflow_restcomm

Last synced: 8 months ago
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• Host: GitHub
• URL: https://github.com/ajamous/dialogflow_restcomm
• Owner: ajamous
• Created: 2019-04-14T19:19:18.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2021-01-25T14:59:57.000Z (over 5 years ago)
• Last Synced: 2025-03-20T02:49:12.081Z (about 1 year ago)
• Language: PHP
• Size: 66.4 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
## Introduction

### Coffee Agent

This is a coffee ordering SMS application powered by Google's machine learning and Ai + Restcomm Cloud.

This agent allows your app to help users with order coffee drinks, snacks, and other merchandise from a coffee shop service. 

* Examples: 

User: I’d like a coffee to go. 

User: Can I get a small iced latte with low fat milk? 

User: Two medium cappuccinos please.  

User: Can I get three doughnuts please? 

User: I’d love to get a bagel with cream cheese. 

User: I’m hungry. 

User: I would like to order a gift card with $50 on it. 

User: I’m looking for a present.

#### Installation

* clone this project:

    ``git clone https://github.com/ajamous/DialogFlow_Restcomm.git``

* then install dependencies:

    ``cd DialogFlow_Restcomm/``

    

    ``composer install``

#### DialogFlow and Google setup:

* visit dialogflow.com and login to your account

* from the left menu, click on "prebuild Agents" and import the "Coffee Shop" for example agent.

* it will ask you to create a Google project or use an existing one.

* after importing, click on the gear next to the agent name on the left menu.

* click on the service account link, to visit Google console.

* click on the same service account again inside Google console.

* click on Edit, then **Create Key**, choose **JSON** and put the downloaded file in the **root** of this project.

#### Complete installation

* copy the .env file `cp .env.example .env` and open for edit

* set **database** parameters.

* rename the downloaded JSON file to `AGENT_NAME.json` replace AGENT_NAME with the Agent Name that you are using, this will also be the active end point for this Agent `/AGENT_NAME`

* then run `php artisan migrate` to create the database tables.

* and finally create a user with a simple token to call the API using

`php artisan generate:token`

 #### Testing The Setup

 to test the API, use any REST client to make a POST request to the end point `/{AGENT_NAME}`

  for example:

 `/coffee` for Coffee Agent.

 `/banking` for Banking Agent.

 with the headers:

 

 `authorization: Bearer YOUR_GENERATED_TOKEN_HERE`

 

 `content-type: application/json`

 

 and  the body

 

 {"sms":"Hello"}

 

if everything is setup correctly you should get a response like this one

``{

  "response": "Good day! I have a lot coffee and snacks. What can I get you to drink?"

  }``

  

 #### Restcomm (RVD) Setup Guide 

  

In progress..