Photo gallery with emotions recognition

Gallery with face and emotions recognition written on python3 aiohttp.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

What things you need to run the software:

Python3.6+, pip3, MongoDB

Installing

A step by step instruction for installation:

Create your MongoDb database on MLab

Create config.py in project root dir:

FLICKR_KEY = 'asdf09a0sd8f9ad8sf9a'
FLICKR_SECRET = '3452345kl3245k2345l'
FLICKR_ALBUM = '72157674388093532'
FLICKR_USER = '144522605@N06'

TEMPLATES_FOLDER = 'templates/'
STATIC_FOLDER = 'static/'

FACE_PLUS_PLUS_API_KEY = 'bkjh234jk32h4vkjh4k2j3hbk42jh'
FACE_PLUS_PLUS_API_SECRET = '023lk4jhb2lj3h4b8s-aiXp4234kjhb'

DATABASE_HOST = 'ds12345.mlab.com'
DATABASE_PORT = 27228
DATABASE_NAME = 'int_20h'

DATABASE_LOGIN = 'admin'
DATABASE_PASSWORD = 'password'

EMOTIONS = {'anger': 'Гнев',
            'disgust': 'Отвращение',
            'fear': 'Страх',
            'happiness': 'Счастье',
            'neutral': 'Нейтральный',
            'sadness': 'Печаль',
            'surprise': 'Удивленный'}

Install python packages

sudo pip3 install requirements.txt

Run

python3 webserver.py

Then open localhost:8080

Deployment

Don't forget to create config.py

Run

heroku create
git push heroku master

Developers

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