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import numpy as np
import gradio as gr
import requests
import os
from scipy.io.wavfile import write
def main_function(audio):
os.makedirs("out", exist_ok=True)
write('test.wav', audio[0], audio[1])
data = {
'api_token': '171afdabea68ffcdbd7f102b8611ac63',
'return': 'apple_music,spotify',
}
files = {
'file': open('test.wav', 'rb'),
}
result = requests.post('https://api.audd.io/', data=data, files=files)
if result not none:
artist = result.json()['result']['artist']
title = result.json()['result']['title']
genre = result.json()['result']['apple_music']['genreNames']
image_url = result.json()['result']['spotify']['album']['images'][0]['url']
else:
artist, title, genre, image_url = None, None, None, None
return artist, title, genre, image_url
def reverse_audio(audio):
sr, data = audio
return (sr, np.flipud(data))
input_audio = gr.Audio(
sources=["upload", "microphone"],
waveform_options=gr.WaveformOptions(
waveform_color="#01C6FF",
waveform_progress_color="#0066B4",
skip_length=2,
show_controls=False,
),
)
demo = gr.Interface(
fn=main_function,
inputs=input_audio,
outputs=[
gr.Textbox(label="Artist", show_copy_button=True),
gr.Textbox(label="Music", show_copy_button=True),
gr.Textbox(label="Genre", show_copy_button=True),
gr.Image(label="Cover")
]
)
if __name__ == "__main__":
demo.launch() |