created a requirement.txt files for dependencies.Save time and optimize your UA campaigns, smoothly.Install the required packages using pip install -r requirements.txt.Begin a new virtual environment with Python 3 and activate it.After downloading, cd into the flask directory.parse data and gets stock data from Marketstack & marketstack API returns the stack price data.calls thew registered webhooks and sends data & flaskapp recives the Requerst.User sends message to twilio provided sandbox url & twilio recieves the message.can be easily extended with more packages as app evolves.HTTPS and API endpoints, which recieves data in json format or any format which is supported by HTTPS.
flask app created now will help use to talk to markert stack API.whenever we create bot we always need to send the response back for the given message and for that we used python language and flask framework.so to overcome this we used Ngrok, it help us to create an HTTP turnel, it basically turnels the https traffic to our local host.Twilio can only send data over https for the security stacke.used twilio which is used to utilize the the service because it offers an API in whatsapp.created a bot around the whatsapp platform which interact with users.Setting up Webhooks securely using flask.(The main intention was to create an end-to-end chatbot application. I'm working on blog about this mini project and I'll update the link of blog about all the points in details later. If you are looking for all the following points in this repo then i have not covered all in this repo. The following points were the objective of the project. We created a bot around the whatsapp platform which interact with users and used twilio which is used to utilize the the service because it offers an API in whatsapp and whenever we create bot we always need to send the response back for the given message and for that we used python language and flask framework.
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