app.py

import streamlit as st
from model import *

st.header("Any songs to Lo-Fi")
x = st.file_uploader("Upload your music")

if x is not None:
    wv, sr = librosa.load(x, sr=16000)  #Load waveform
    print(wv.shape)
    speca = prep(wv)                                                    #Waveform to Spectrogram
    
    # plt.figure(figsize=(50,1))                                          #Show Spectrogram
    # plt.imshow(np.flip(speca, axis=0), cmap=None)
    # plt.axis('off')
    # plt.show()
    
    abwv = towave(speca, name='FILENAME7', path='./songs_gen')           #Convert and save wav
    
    sample_rate = 44100  # 44100 samples per second
    st.audio(abwv, sample_rate=sample_rate)