WhatsApp Bot

WhatsApp Bot Developed using Twilio and Python Flask

Try WhatsApp bot :

Shortcut Link for Api

To Join : join major-noise

Example : tell me a joke

To Stop : stop

1. Setup a Python Virtual Environment

• A virtual environment is a tool that helps to keep dependencies required by different projects separate by creating isolated python virtual environments for them.

Create a Project Folder.

• Run following command to create a new virtual environment inside your project folder:

  python -m venv myvenv

• After running above command, a folder named myvenv will get created in your project folder.

• Activate the virtual environment by running following command: For ubuntu and mac users:

  source myvenv/bin/activate

For windows users:

myvenv\Scripts\activate

2. Install required Python Packages:

flask : pip install flask

twilio : pip install twilio

3. Create a Flask App (app.py)

• Create Flask App and Run

  python app.py

(or)

Manual Flask Run :

For CMD :

$ export FLASK_APP=hello.py

$ export FLASK_DEBUG=1

$ flask run

For PowerShell :

$env:FLASK_APP = "hello.py"

$env:FLASK_DEBUG = 1

flask run

Refer flask docs

Upload code to git then config heroku

Heroku Installation and Deploy Method :

• Install the Heroku CLI Download and install the Heroku CLI.

• If you haven't already, log in to your Heroku account and follow the prompts to create a new SSH public key.

$ heroku login

Clone the repository

• Use Git to clone wbhelper's source code to your local machine.

$ heroku git:clone -a reponame
$ cd reponame

• Deploy your changes Make some changes to the code you just cloned and deploy them to Heroku using Git.

$ git add .
$ git commit -am "make it better"
$ git push heroku master

Note :

1. Procfile

• A Procfile is a mechanism for declaring what commands are run by your application's dynos on the Heroku platform.

  web gunicorn app:app

• Also, install gunicorn in your virtual environment:

  pip install gunicorn

2. runtime.txt

• To specify a particular version of Python via your app's runtime.txt

  python-3.7.2

3. requirements.txt¶

• Contains all 3rd party libraries required by your app.

Simply do:

pip freeze > requirements.txt

to generate a requirements.txt file.

4.Environment creation :

Create : python -m venv myvenv

Activate : myvenv\Scripts\activate

To check path : $env:PATH (PS)

.gitignore¶

• .gitignore file specifies patterns which are used to exclude certain files in your working directory from your Git history.

• Open file and type file name to ignore :

  myvenv/

  *.pyc

To make Conversational bot use dialogflow and import agent it may pre-defined or newly created

1. Login into dialogflow console

2. Create a new agent or import a pre-built agent

3. From settings page of agent, open the service account of your project in Google Cloud Console

4. Create a new service account for your project. Download private key for the service account in a JSON file

5. Install Python Client for Dialogflow dialogflow-python-client

   pip install dialogflow