Update app.py

app.py

@@ -1,15 +1,37 @@
-os.system('pip uninstall -y numpy')
-os.system('pip install numpy')
 import librosa
 import gradio as gr
+import soundfile as sf
 
 def greet(name):
-    print(name)
-    mel = np.load(name)
-    audio, sr = librosa.load(name)
-    D = np.abs(librosa.stft(audio))**2
-    audio= librosa.feature.melspectrogram(y=audio, sr=sr, S=D)
-    return audio
+   # step1 - converting a wav file to numpy array and then converting that to mel-spectrogram
+    my_audio_as_np_array, my_sample_rate= librosa.load("audio1.wav")
+
+# step2 - converting audio np array to spectrogram
+    spec = librosa.feature.melspectrogram(y=my_audio_as_np_array,
+                                        sr=my_sample_rate, 
+                                            n_fft=2048, 
+                                            hop_length=512, 
+                                            win_length=None, 
+                                            window='hann', 
+                                            center=True, 
+                                            pad_mode='reflect', 
+                                            power=2.0,
+                                     n_mels=128)
+
+# step3 converting mel-spectrogrma back to wav file
+    res = librosa.feature.inverse.mel_to_audio(spec, 
+                                           sr=my_sample_rate, 
+                                           n_fft=2048, 
+                                           hop_length=512, 
+                                           win_length=None, 
+                                           window='hann', 
+                                           center=True, 
+                                           pad_mode='reflect', 
+                                           power=2.0, 
+                                           n_iter=32)
+
+# step4 - save it as a wav file
+    return sf.write("test1.wav", res, sashi_sr)
     #mel -> audio
 
 iface = gr.Interface(fn=greet, inputs= gr.Image(label="Mel spectrogram", image_mode="L"), outputs=gr.Audio(label="Audio"))