Update app.py

app.py

@@ -29,8 +29,7 @@ initialize_session_state()
 if "transcription" not in st.session_state or not st.session_state.transcription:
     st.session_state.whisper = load_whisper()
 
-# Memory info
-display_memory_once()
+
 
 # Reset state for a new analysis
 if st.button("Analyze new video"):
@@ -72,8 +71,7 @@ if st.session_state.audio_path and not st.session_state.transcription:
         st.session_state.audio_ready = True
         st.audio(st.session_state.audio_path, format='audio/wav')
         time.sleep(5)
-        mem = psutil.virtual_memory()
-        st.write(f"Memory used: {mem.percent}%")    
+            
         #Detect Language AND FILTER OUT NON-ENGLISH AUDIOS FOR ANALYSIS
         segments, info = st.session_state.whisper.transcribe(st.session_state.audio_path, beam_size=1)
             
@@ -93,8 +91,6 @@ if st.session_state.audio_path and not st.session_state.transcription:
             
             if 'classifier' not in st.session_state:
                 st.session_state.classifier = load_accent_model()
-            mem = psutil.virtual_memory()
-            st.write(f"Memory used: {mem.percent}%")
             time.sleep(5)
        
 
@@ -102,8 +98,7 @@ if st.session_state.transcription:
     if st.button("Analyze Accent"):
         with st.spinner("Analyzing accent..."):
             try:
-                mem = psutil.virtual_memory()
-                st.write(f"Memory used: {mem.percent}%")
+                
                 waveform, sample_rate = torchaudio.load(st.session_state.audio_path)
                 readable_accent, confidence = analyze_accent(waveform, sample_rate, st.session_state.classifier)