https://github.com/maytapi-com/whatsapp-api-python-dialogflow-example

Maytapi WhatsApp Api Python Dialogflow Example
https://github.com/maytapi-com/whatsapp-api-python-dialogflow-example

whatsapp whatsapp-api whatsapp-automation whatsapp-web whatsappbot

Last synced: 7 days ago
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Maytapi WhatsApp Api Python Dialogflow Example

• Host: GitHub
• URL: https://github.com/maytapi-com/whatsapp-api-python-dialogflow-example
• Owner: maytapi-com
• Created: 2024-07-16T11:04:17.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-07-16T11:04:19.000Z (3 months ago)
• Last Synced: 2024-09-25T16:03:06.835Z (10 days ago)
• Topics: whatsapp, whatsapp-api, whatsapp-automation, whatsapp-web, whatsappbot
• Language: Python
• Homepage: https://maytapi.com/
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# Maytapi - WhatsApp Api DialogFlow Integration Example

> A simple python integration with DialogFlow for Maytapi WhatsApp Api

[Our Website](https://maytapi.com/) • [WhatsApp Api Documentations](https://maytapi.com/whatsapp-api-documentation)

- In this example we connect Dialogflow and Maytapi

- We use ngrok to create temporary https reverse proxy so whatsapp can reach our demo api.

- Because ngrok public url changes everytime we also change webhook settings in our account at boot. This should not be used like this in production environments.

- NOTE: Before testing the demo you need to create your phone instance and connect an active WhatsApp account to instance in [Phones Page](https://console.maytapi.com/).

# Installation

### Installing python libraries

`pip install -r requirements.txt`

### Configure Tokens

You need to change PRODUCT_ID, PHONE_ID and API_TOKEN values in app.py file. You can find your Product ID and Token in [Settings Token Page](https://console.maytapi.com/settings/token). Phone Id can be found in [Phones Page](https://console.maytapi.com/) or with `/listPhones` endpoint.

### Configure Dialogflow

You need Dialogflow personalized agent to connect Dialogflow API.

If you don't have any Dialogflow agent, you can check [dialogflow tutorials](https://cloud.google.com/dialogflow/docs/tutorials).

To connect Dialogflow API, you should set up your [credentials](https://dialogflow.com/docs/reference/v2-auth-setup).

> Do not forget to set [GOOGLE_APPLICATION_CREDENTIALS] to your private_key.json. (https://cloud.google.com/docs/authentication/getting-started#linux-or-macos).

# Start The Api

Tested with python v3.8.1

## Mac/Linux

```

export FLASK_APP=app.py

flask run --host 0.0.0.0 --port 9000 --no-debugger --no-reload

```

## Windows Cmd

```

set FLASK_APP=app.py

flask run --host 0.0.0.0 --port 9000 --no-debugger --no-reload

```

## Windows PowerShell

```

$env:FLASK_APP = "app.py"

flask run --host 0.0.0.0 --port 9000 --no-debugger --no-reload

```