Update app.py

app.py

@@ -4,7 +4,6 @@ import soundfile as sf
 import io
 import numpy as np
 from pydub import AudioSegment
-from pydub import effects
 
 # Define a Streamlit app
 st.title("Audio Processing App")
@@ -14,32 +13,32 @@ uploaded_audio = st.file_uploader("Upload an audio file", type=["mp3", "wav"])
 
 if uploaded_audio is not None:
     audio_bytes = uploaded_audio.read()
-
+    
     # 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 = nr.reduce_noise(y=audio, sr=sample_rate)
+    reduced_audio_data = nr.reduce_noise(y=audio, sr=sample_rate)
 
-    # Convert the numpy array to an AudioSegment
+    # Create an AudioSegment from the reduced audio data
     reduced_audio = AudioSegment(
-        reduced_audio.tobytes(),
+        reduced_audio_data.tobytes(),
         frame_rate=sample_rate,
-        sample_width=reduced_audio.dtype.itemsize,
-        channels=1  # Assuming mono audio
+        sample_width=reduced_audio_data.dtype.itemsize,
+        channels=1
     )
 
-    # Set the speed factor
-    st.write("Setting speed factor...")
-    speeded_audio = reduced_audio.speedup(0.76)  # Adjust the speed factor as needed
+    # Slow down the audio
+    st.write("Slowing down audio...")
+    slowed_audio = reduced_audio.speedup(playback_speed=0.7)
 
-    # Export the modified audio to a file
-    speeded_audio.export("output_audio.wav", format="wav")
+    # Export the slowed audio to a file
+    slowed_audio.export("output_audio.wav", format="wav")
 
-    # Provide a link to download the processed audio
+    # Provide the download link for the processed audio
     st.audio("output_audio.wav")
 
 # Run the Streamlit app
 if __name__ == "__main__":
-    st.write("Upload an audio file to apply noise reduction and set the speed factor.")
+    st.write("Upload an audio file to process.")