Create app.py

app.py

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+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()