app.py

import streamlit as st
import noisereduce as nr
from pydub import AudioSegment

# Define a Streamlit 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:
    # Clean the input audio using noisereduce
    # You may need to adjust the parameters for your specific audio
    st.write("Cleaning audio...")
    # Load the audio file
    audio = AudioSegment.from_file(uploaded_audio)
    # Convert to numpy array for processing
    audio_data = audio.get_array_of_samples()
    # Apply noise reduction
    reduced_audio = nr.reduce_noise(y=audio_data, sr=audio.frame_rate)

    # Slow down the audio
    st.write("Slowing down audio...")
    slowed_audio = audio.speedup(playback_speed=0.7)  # Adjust the speed factor as needed

    # Generate a new audio file
    st.write("Generating output audio...")
    slowed_audio.export("output_audio.wav", format="wav")

    # Provide the download link for the cleaned and slowed audio
    st.audio("output_audio.wav")

# Run the Streamlit app
if __name__ == "__main__":
    st.write("Upload an audio file to get started.")