app.py

import streamlit as st
import librosa  # Library for audio processing

def main():
  """
  This function creates a Streamlit app for uploading an audio file and processing it.
  """
  # Title and description
  st.title("Audio Uploader and Processor")
  st.write("Upload your audio file below:")

  # File uploader with specific file types allowed
  uploaded_file = st.file_uploader("Choose an audio file", type=["mp3", "wav"])

  if uploaded_file is not None:
    # Display uploaded file details
    st.write("Uploaded file details:")
    st.write(" - Name:", uploaded_file.name)
    st.write(" - Type:", uploaded_file.type)
    st.write(" - Size:", uploaded_file.size, "bytes")

    # Read the audio bytes
    audio_bytes = uploaded_file.read()

    # Load audio as NumPy array using librosa
    try:
      audio, sample_rate = librosa.load(audio_bytes, sr=None)  # Load without resampling
    except Exception as e:
      st.error(f"Error loading audio: {e}")
      return

    # Get the first 15 seconds of audio (assuming sample rate is available)
    if sample_rate:
      duration = 15
      first_15_seconds = audio[:int(sample_rate * duration)]

      # Display the NumPy array (optional)
      # st.write("First 15 seconds as NumPy array:", first_15_seconds)

      # You can now perform further processing on the 'first_15_seconds' array
      # ...

    else:
      st.warning("Could not determine sample rate. Skipping 15-second extraction.")

if __name__ == "__main__":
  main()