Update app.py

app.py

@@ -2,6 +2,9 @@ import streamlit as st
 from huggingface_hub import hf_hub_url, cached_download
 import numpy as np
 import tensorflow as tf
+import librosa
+from miniaudio import SampleFormat, decode
+
 
 REPO_ID = "BrendaTellez/sounds2"
 FILENAME = "RNN60-GRU.h5"   
@@ -14,4 +17,16 @@ def download_model():
     return model
 
 model = download_model()
-st.write(model.summary)
+
+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)