big update

app.py

@@ -13,6 +13,7 @@ import pydub
 import time
 import os
 import atexit
+import librosa
 
 # MODEL LOADING and INITIALISATION
 model = torch.jit.load("snorenetv1_small.ptl")
@@ -41,10 +42,9 @@ st.title('Real-Time Snore Detection App 😴')
 uploaded_file = st.file_uploader("Upload Sample", type=["wav"])
 if uploaded_file is not None:
     st.write("Analsysing...")
-    time.sleep(7)
-    audio = pydub.AudioSegment.from_wav(uploaded_file)
-    audio_data = np.array(audio.get_array_of_samples())
-    waveform= audio_data
+    time.sleep(2.5)
+    audio, sample_rate = librosa.load(uploaded_file, sr=None)
+    waveform = audio
     while(endReached == False):
         input_tensor = torch.tensor(waveform[s:n]).unsqueeze(0).to(torch.float32)
         result = model(input_tensor)

requirements.txt

@@ -5,4 +5,5 @@ sounddevice
 torch
 torchaudio
 scipy
-pydub
+pydub
+librosa