Update app.py

app.py

@@ -1,10 +1,11 @@
+from pydub import AudioSegment
+from pydub.playback import _play_with_simpleaudio as play_sound
+import audio_effects as ae
 import streamlit as st
 import noisereduce as nr
 import soundfile as sf
 import io
 import numpy as np
-from pydub import AudioSegment
-from scipy.io.wavfile import write
 
 # Define a Streamlit app
 st.title("Audio Processing App")
@@ -17,7 +18,7 @@ if uploaded_audio is not None:
 
     # Convert audio file to numpy array
     audio, sample_rate = sf.read(io.BytesIO(audio_bytes))
-    
+
     # Apply noise reduction
     st.write("Applying noise reduction...")
     reduced_audio_data = nr.reduce_noise(y=audio, sr=sample_rate)
@@ -30,18 +31,13 @@ if uploaded_audio is not None:
         channels=1
     )
 
-    # Save the reduced audio as a temporary 16-bit wave file
-    reduced_audio.export("reduced_audio.wav", format="wav")
-
-    # Load the 16-bit wave file and slow it down
-    slowed_audio = AudioSegment.from_wav("reduced_audio.wav")
-    slowed_audio = slowed_audio.speedup(playback_speed=0.7)
-
-    # Save the slowed down audio as a WAV file with 16-bit sample width using scipy
-    write("output_audio.wav", slowed_audio.frame_rate, slowed_audio.get_array_of_samples())
+    # Slow down the audio using the speed_down function from audio_effects
+    st.write("Slowing down audio...")
+    speed_change_ratio = 0.7
+    slowed_audio = ae.speed_down(reduced_audio, speed_change_ratio)
 
-    # Provide the download link for the processed audio
-    st.audio("output_audio.wav")
+    # Play the slowed down audio
+    play_sound(slowed_audio)
 
 # Run the Streamlit app
 if __name__ == "__main__":