Update app.py

app.py

@@ -10,22 +10,4 @@ REPO_ID = "BrendaTellez/sounds2"
 FILENAME = "RNN60-small.h5"   
 RATE = 22050
 
-@st.cache(allow_output_mutation=True)
-def download_model():
-    model = tf.keras.models.load_model(FILENAME)
-    return model
-
-model = download_model()
-
-audio_bytes = st.file_uploader(
-    "Choose an audio (.wav) file", accept_multiple_files=False
-)
-
-decoded_audio = decode(
-    audio_bytes, nchannels=1, sample_rate=RATE, output_format=SampleFormat.SIGNED32
-)
-waveform = np.array(decoded_audio.samples)
-MFCC = librosa.feature.mfcc(y=waveform, sr =RATE, hop_length = 512, n_mfcc = 60)
-
-pred = model.predict(MFCC)
-st.write(pred)
+st.write("hola")