Update app.py

app.py

@@ -16,7 +16,8 @@ import gradio as gr
 ## lets load the model 
 model = keras.models.load_model('heartbeatsound_classification.h5')
 
-def loading_sound_file(sound_file):
+def loading_sound_file(sound_file, sr=22050, duration=10):
+    input_length = sr * duration
     X, sr = librosa.load(sound_file, sr=sr, duration=duration) 
     dur = librosa.get_duration(y=X, sr=sr)
     
@@ -34,9 +35,7 @@ def loading_sound_file(sound_file):
 
 
 def heart_signal_classification(data):
-    x = np.array(image)
-    X = np.array([x])
-    X = preprocess_input(X)
+    X = loading_sound_file(data)
     pred = model.predict(X)
     result = pred[0].argmax()
     ## lets create our labels