Turn your Pimoroni Unicorn pHAT or Mood Light Kit into a Twitter-connected mood light that tracks the mood of your most recent tweets.

twitter-mood-light.py

## This script will turn your Unicorn pHAT or Mood Light Kit into
## a Twitter-connected mood light that tracks the mood of your most
## recent tweets.

## You'll need to install the unicornhat, textblob, and tweepy Python
## libraries, and run "python -m textblob.download_corpora" to download
## the corpora for textblob the first time you run it.

## Change the start_hue and end_hue values to use a different portion of
## the colour wheel. Change num_tweets to track a larger number of recent
## tweets.

## Remember to add create an app. at https://dev.twitter.com/ and add the
## consumer and access keys and secrets below.

import tweepy
import time
import colorsys
import unicornhat as uh
from textblob import TextBlob

consumer_key = ""
consumer_secret = ""

access_key = ""
access_secret = ""

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_key, access_secret)
api = tweepy.API(auth)

start_hue = 220
end_hue = 320
range_hue = (end_hue - start_hue)

num_tweets = 3
weightings = range(1, num_tweets)

uh.set_layout(uh.PHAT)
uh.brightness(0.5)

while True:
    avg_polarities = []

    for status in tweepy.Cursor(api.user_timeline).items(num_tweets):
        status = " ".join([word for word in status.text.split() if not ("@" in word or "http" in word)])
        blob = TextBlob(status)
        sent_polarities = [sentence.sentiment.polarity for sentence in blob.sentences]
        polarity = sum(sent_polarities) / len(sent_polarities)
        avg_polarities.append(polarity)

    weighted = [x / y for x, y in zip(avg_polarities, weightings)]
    avg_polarity = sum(weighted) / len(weighted)
    avg_polarity = ((avg_polarity + 1) / 2)
    hue = (start_hue + (avg_polarity * range_hue)) / 360.0
    r, g, b = [int(c * 255) for c in colorsys.hsv_to_rgb(hue, 1.0, 1.0)]
    uh.clear()
    for x in range(8):
        for y in range(4):
            uh.set_pixel(x, y, r, g, b)
    uh.show()

    time.sleep(25)