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app.py

@@ -2,7 +2,7 @@ import gradio as gr
 import librosa
 from tensorflow.keras.models import load_model
 import numpy as np
-
+import audio2numpy as a2n
 # load model
 model = load_model("BBNN_model.hdf5")
 
@@ -35,7 +35,7 @@ def get_melspec_feature(X, target_sr, frame_size, frame_shift_len, n_mels):
 
 
 def predict_genre(audio):
-    audio, _ = librosa.load(y = audio, sr = 22050)
+    print(audio)
     melspec = get_melspec_feature(audio, target_sr, frame_size, frame_shift_len, n_mels)
     prediction = model.predict(melspec)[0]
     return {genre_classes[i]: float(prediction[i]) for i in range(5)}

requirements.txt

@@ -1,3 +1,4 @@
 tensorflow
 librosa
-numpy
+numpy
+audio2numpy