Update app.py

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import noisereduce as nr
 import soundfile as sf
 import io
+import numpy as np
 from pydub import AudioSegment
 
 # Define a Streamlit app
@@ -10,13 +11,10 @@ st.title("Audio Processing App")
 # Upload the input audio file
 uploaded_audio = st.file_uploader("Upload an audio file", type=["mp3", "wav", "ogg", "flac", "wma", "m4a"])
 
-# Speed factor input
-speed_factor = st.slider("Playback Speed", min_value=0.1, max_value=2.0, step=0.1, value=1.0)
-
 if uploaded_audio is not None:
     audio_bytes = uploaded_audio.read()
 
-    # Convert audio file to numpy array
+    # Convert audio file to numpy array using soundfile
     audio, sample_rate = sf.read(io.BytesIO(audio_bytes))
 
     # Apply noise reduction
@@ -27,17 +25,17 @@ if uploaded_audio is not None:
     reduced_audio = AudioSegment(
         reduced_audio_data.tobytes(),
         frame_rate=sample_rate,
-        sample_width=reduced_audio_data.dtype.itemsize,
+        sample_width=2,  # Change this to 1 or 4 if necessary
         channels=1
     )
 
-    # Slow down the audio based on the user's input speed factor
-    st.write(f"Slowing down audio to {speed_factor}x speed...")
-    slowed_audio = reduced_audio.speedup(playback_speed=1/speed_factor)
+    # Slow down the audio based on user's input speed factor
+    st.write("Slowing down audio...")
+    slowed_audio = reduced_audio.speedup(playback_speed=0.7)
 
     # Provide a link to download the processed audio
     st.audio(slowed_audio.export(format="wav").read(), format="audio/wav")
 
 # Run the Streamlit app
 if __name__ == "__main__":
-    st.write("Upload an audio file, set the playback speed, and apply noise reduction.")
+    st.write("Upload an audio file to process.")