big update

app.py

@@ -16,8 +16,7 @@ import atexit
 import librosa
 
 # MODEL LOADING and INITIALISATION
-model = torch.jit.load("snorenetv1_small.ptl")
-model.eval()
+
 endReached = False
 
 s=0
@@ -25,6 +24,8 @@ n=16000
 
 # Audio parameters
 def process_data(waveform_chunks):
+    model = torch.jit.load("snorenetv1_small.ptl")
+    model.eval()
     snore = 0
     other = 0
     st.write("Reached stage 4")
@@ -57,7 +58,7 @@ 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(2.5)
+    # time.sleep(2.5)
     audio, sample_rate = librosa.load(uploaded_file, sr=None)
     waveform = audio
     # Set the chunk size