def dislike(): s = readTwitterHandle() global level level += 1 tweets = parsing_emotions.get_five_tweets(s) (e_counts, s_counts) = parsing_emotions.getCounts(tweets) e_max = parsing_emotions.getMaxCount(e_counts) global song_set song_set = music.createPlaylist(e_max, level) displayData(song_set)
def like():
s = readTwitterHandle()
global level
global song_set
tweets = parsing_emotions.get_five_tweets(s)
(e_counts, s_counts) = parsing_emotions.getCounts(tweets)
e_max = parsing_emotions.getMaxCount(e_counts)
if level > 1:
level -= 1
new_song_set = music.createSimilarPlaylist(e_max, song_set, level)
song_set = new_song_set
displayData(song_set)
def getMood(lyrics, mood_index, level):
assert level >= 1
if level > 5:
level = 5
it = iter(lyrics.splitlines())
lines = []
for i in range(level):
lines.append(it.next())
(e_counts, s_counts) = parsing_emotions.getCounts(lines)
#find max count in e_counts -> this represents the predominant emotion
e_max = max(e_counts)
if e_max == mood_index:
return True
return False
seed = getSeedArtist()
singer = getSimilarArtist(seed)
song = getSongForMood(mood, singer, level)
song_set.append(song)
i -= 1
return song_set
if __name__ == "__main__":
parsing_emotions.buildSets()
#print list(angerSet)
tweets = parsing_emotions.get_five_tweets("itsmeaditi_")
#print(tweettexts)
(e_counts, s_counts) = parsing_emotions.getCounts(tweets)
e_max = parsing_emotions.getMaxCount(e_counts)
song_set = createPlaylist(e_max, 1)
print song_set
#print list(counts)
#print list(sent_counts)
# getMood(getLyrics(a.name,result.title), "happy", 4)
