Twitter APIs exrcise using Python

APIs and libraries used:

• tweepy to download user feed and extract media
• wget to download media files
• FFMPEG to convert .jpg files into a .mp4 video
  • implemented using the os and subprocess libraries.
  • google vision API

Installation

install the latest version of each one of the APIs 1) update python to the python3.6 version 2) pip3 install tweepy 3) brew install ffmpeg 4) pip3 install --upgrade google-cloud-vision 5) To set up the authentication credential for google cloud follow intructions on the following link: https://cloud.google.com/vision/docs/reference/libraries 3) clone git repository

Usage

1) place Twitter username to be scanned in main function 2) Replace twitter API credentials with actual tokens 4) create a folder named "output" 3) run the ./tweetAPIexercise.py file on terminal 4) all pictures will be downloaded into the output folder 6) an output file will be generate containing labels for each one of the images 5) A video file called out.mp4 will be created out of the images

• The video's length depend on the number of pictures on the twitter feed.
• Each images displays for a duration of 10 sec.