import matplotlib.pyplot as plt
import librosa
import numpy as np
import os
import sys

args = sys.argv

file_path = args[1]
file_name = os.path.basename(file_path)

(sig, rate) = librosa.load(file_path, sr=None, mono=True, dtype=np.float32)
plt.specgram(sig, Fs=rate, NFFT=2048)

plt.subplots_adjust(left=0,right=1,bottom=0,top=1)
plt.axis('tight')
plt.axis('off')

plt.savefig(f"/var/www/chiro-canto/public/storage/spectrograms/{file_name}.png")