from simbals_apis_public_clients.clients.services import SimbalsAPIClient
import time
import json
import os
import gradio as gr
from pytube import YouTube
SIMBALS_GLOBAL_DB = 1
SIMBALS_MAIN_DATABASE = 2
embed_html1 = ''
def download_audio(id_video):
video = YouTube(id_video)
id = id_video.split("?v=")[-1][:11]
audio_streams = video.streams.filter(only_audio=True)
audio_stream = audio_streams[0]
audio_file = audio_stream.download()
audio_parts = audio_file.split('/')[-1]
audio_title = '.'.join(audio_parts.split('.')[:-1])
embed_html_all = embed_html1 + id +embed_html2
return audio_file, audio_file, embed_html_all
def process(input_path):
# setup the client
audio_file, audio_file, embed_html_all = download_audio(input_path)
client = SimbalsAPIClient(os.environ['TOKEN'], debug=True)
parameters = client.prepare_request("31415", audio_file=audio_file)
#client = SimbalsAPIClient(os.environ['TOKEN'], debug=True)
#parameters = client.prepare_request("31415", audio_file=input_path)
# add audio features service with an available database
#parameters = client.add_audio_features(parameters, SIMBALS_MAIN_DATABASE)
parameters = client.add_tags(parameters, SIMBALS_MAIN_DATABASE)
# launch the request and test for ok/code values
ok, code, job_id = client.launch_request(parameters)
# try to get the results with obtained job_id. If code is 4, job is not finished. In all other cases, job is finished
for i in range(1000):
results=client.get_results(job_id)
if results[0] != 4:
#print(json.dumps(results[1], indent=1))
#return json.dumps(results[1], indent=1)
output = json.dumps(results[1], indent=1)
break
time.sleep(1)
res = results[1]["response"]["tagging"]["2"]
dict_moods = {}
for m in res['moods']:
dict_moods[m['name']] = m['probability']
dict_desc={}
for d in res['music_descriptors']:
if d['name'] in ['BPM', 'Key', 'Mode']:
dict_desc[d['name']] = d['value']
else:
dict_desc[d['name']] = int(round(d['value']*100))/100.0
genres={}
for d in res['genres']:
genres[d['name']] = d['probability']
themes = {}
for d in res['themes']:
themes[d['name']]= d['probability']
instruments = {}
for d in res['instruments']:
instruments[d['name']] = d['probability']
timbres = {}
for d in res['timbres']:
timbres[d['name']] = d['probability']
vocalgender= {}
if res['vocal_gender'][0]['probability'] != -1:
vocalgender[res['vocal_gender'][0]['name']]= res['vocal_gender'][0]['probability']
else:
vocalgender[res['vocal_gender'][0]['name']]= 0
audioquality = {}
audioquality[res['audio_quality'][0]['name']]= res['audio_quality'][0]['probability']
return embed_html_all, dict_moods, genres, instruments, vocalgender, timbres, themes, audioquality,str(dict_desc['Electric/Acoustic']),str(dict_desc['Danceability']),str(dict_desc['Arousal']),str(dict_desc['Vocal/Instrumental']),str(dict_desc['Studio/Live']),str(dict_desc['Music/Speech']),str(dict_desc['Valence']),str(dict_desc['Melodic']),str(dict_desc['Articulation']),str(dict_desc['RhythmicStability']),str(dict_desc['Dissonance']),str(dict_desc['BPM']),str(dict_desc['Binary']),str(dict_desc['Key']),str(dict_desc['Mode']),str(dict_desc['TexturalStability'])
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
with gr.Row():
#gr.HTML(embed_html)
html = gr.HTML()
with gr.Row():
audio_input = gr.Textbox(placeholder='YouTube video URL', label='YouTube video URL')
#with gr.Row():
# audio_input = gr.Audio(type="filepath", label='Audio Input')
with gr.Row():
analyze_btn = gr.Button('Analyze File')
with gr.Row():
with gr.Column():
gr.HTML("