def query(name,artist):
"""Prints summary of song and returns information necessary for decision tree"""
keys = ['C', 'C#', 'D', 'Eb', 'E', 'F', 'F#', 'G', 'Ab', 'A', 'Bb']
if name == "" or artist == "":
display_text("No results for that query. \n")
return -1
dict = song_profile(str(name),str(artist))
if dict != "No results for that query. \n":
dict2 = gti.get_json(dict['audio_summary']['analysis_url'])
tempo = dict['audio_summary']['tempo']
time_sig = dict['audio_summary']['time_signature']
speechiness = dict['audio_summary']['speechiness']
artist_name = dict['artist_name']
song = dict['title']
key_not_found = False
try:
key = keys[dict['audio_summary']['key']]
except:
key_not_found = True
key = 'C'
duration = dict['audio_summary']['duration']
loudness = dict['audio_summary']['loudness']
bpm_range = procinp.bpm_range(dict2['beats'])
max_bpm_spike = procinp.max_bpm_spike(dict2['beats'])
num_sections = procinp.num_sections(dict2['sections'])
num_keys_not_found = False
try:
num_keys = procinp.num_keys(dict2['sections'])
except:
num_keys_not_found = True
num_keys = 1
a = "Song information:\n"
b = "\t" + song + ", by " + artist_name + "\n"
c = "\tTime signature: " + str(time_sig)+ "\n"
d = "\tTempo: " + str(tempo)+ " beats per minute\n"
e = "\tSpeechiness: " + str(speechiness)+ "\n"
f = "\tLoudness: " + str(loudness)+ " decibels\n"
if key_not_found:
g = "\tKey: " + 'Unknown'+ "\n"
else:
g = "\tKey: " + str(key)+ "\n"
h = "\tDuration: " + str(duration)+ " seconds\n"
i = "\tTempo Range: "+str(bpm_range)+"\n"
j = "\tMaximum Tempo Spike: "+str(max_bpm_spike)+"\n"
k = "\tNumber of Sections: "+str(num_sections)+"\n"
m = "\n"
if num_keys_not_found:
l = "\tNumber of Keys: "+'Unknown'+"\n"
else:
l = "\tNumber of Keys: "+str(num_keys)+"\n"
display_text(a+b+c+d+e+f+g+h+i+j+k+l+m)
return (dict,dict2)
else:
display_text(dict)
return -1
def guess(name,artist):
"""Guesses and displays the genre of the input song"""
if name == "":
a = "Please enter a song name. \n"
display_text(a)
dict1 = song_profile(str(name),str(artist))
if dict1 == "No results for that query. \n":
display_text(dict1)
return
dict2 = gti.get_json(dict1["audio_summary"]["analysis_url"])
#url_dict = {dict1['title']: [dict1['audio_summary']['analysis_url'], dict1['id']]}
#dict2 = gti.build_json_dict(url_dict)
result = analys.classify_encapsulated(dict1,dict2,'genre_fit.pkl')
a = "Genre guess for "+str(dict1['title'])+", by "+str(dict1['artist_name'])+": " + str(result[1]) + "\n"
b = "\t" + str(round(result[0][0]*100,2)) + "%" + " probability this is EDM.\n"
c = "\t" + str(round(result[0][1]*100,2)) + "%" + " probability this is Folk.\n"
d = "\t" + str(round(result[0][2]*100,2)) + "%" + " probability this is Rap.\n\n"
display_text(a+b+c+d)
