Update app.py

app.py

@@ -2,40 +2,43 @@ import streamlit as st
 import noisereduce as nr
 import soundfile as sf
 import io
-import numpy as np
 from pydub import AudioSegment
+import numpy as np
 
 # Define a Streamlit app
-st.title("Audio Noise Reduction and Playback Speed App")
+st.title("Audio Processing App")
 
 # Upload the input audio file
 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)
-    
-    # Create an AudioSegment from the reduced audio data
-    reduced_audio_segment = AudioSegment(
+
+    # Convert the numpy array to an AudioSegment
+    reduced_audio = AudioSegment(
         reduced_audio.tobytes(),
         frame_rate=sample_rate,
         sample_width=reduced_audio.dtype.itemsize,
         channels=1  # Assuming mono audio
     )
 
-    # Adjust playback speed
-    st.write("Adjusting playback speed...")
-    slowed_audio = reduced_audio_segment.speedup(playback_speed=0.5)
+    # Apply speed factor
+    st.write("Applying speed factor...")
+    slowed_audio = reduced_audio.speedup(playback_speed=0.5)  # Adjust the speed factor as needed
+
+    # Export the modified audio to a file
+    slowed_audio.export("output_audio.wav", format="wav")
 
     # Provide a link to download the processed audio
-    st.audio(slowed_audio.export(format="wav"), format="audio/wav", sample_rate=sample_rate)
+    st.audio("output_audio.wav")
 
 # Run the Streamlit app
 if __name__ == "__main__":
-    st.write("Upload an audio file to apply noise reduction and adjust playback speed.")
+    st.write("Upload an audio file to apply noise reduction and speed factor.")