Main

About The Project

I'm always feeding my pet dog tasty human food. This is a big no-no if said food is toxic! Oh no! I created this simple web application in order to vet food ingredients(with an api query) given a barcode and compare it to a small database of known dog toxic ingredients , i.e. chocolate (Not the chocolate!...a personal favorite). Benjamin gets to live another day!

Table of contents

1. About The Project
   • Built With
2. Getting Started
   • Web Application
   • Installation
3. License
4. Contributors

Built With

Frameworks & libraries used to create this project.

• gunicorn
• pandas
• flask
• requests

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Getting Started

This is how you may run the web application locally , as a flask app. Alternatively, the direct heroku app link.

Web Application

The web application for this github repo can be found at:

Installation

Alternatively Here is an example of how to locally install and run the flask app:

1. Change directories (optional):

    (base)@Rogers-MacBook-Air % cd desktop

2. Clone the repo:

    (base)@Rogers-MacBook-Air desktop % git clone git@github.com:rogerfvieira/main.git

3. Change directories to location of cloned repo:

    (base)@Rogers-MacBook-Air desktop % cd main/src

4. Run the virtual environment:

   (base)@Rogers-Macbook-Air src % pipenv shell

5. Change directories to inner folder containing app.py file:

   (main)(base)@Rogers-Macbook-Air src% flask run

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Credit

In order to obtain ingredients from the provided upc code I used https://www.upcitemdb.com/api/explorer#!/lookup/get_trial_lookup

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License

Distributed under the MIT License. See LICENSE for more information.

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Contributors

Roger Vieira

Github: https://github.com/rogerfvieira

LinkedIn: https://www.linkedin.com/in/rogerfloresvieira/

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