Create app.py

app.py

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+import streamlit as st
+import numpy as np
+from io import BytesIO
+import tempfile
+import os
+from pydub import AudioSegment
+import time
+
+def main():
+    st.title("Audio Recorder App")
+    
+    # Add a description
+    st.write("Click the microphone button below to start recording")
+    
+    # Create a placeholder for status messages
+    status_placeholder = st.empty()
+    
+    # Add the audio recorder
+    audio_bytes = st.audio_recorder(
+        pause_threshold=2.0,  # Automatically stops recording after 2 seconds of silence
+        sample_rate=44100
+    )
+    
+    if audio_bytes:
+        try:
+            # Show success message
+            status_placeholder.success("Recording captured successfully!")
+            
+            # Create a temporary file to store the audio
+            with tempfile.NamedTemporaryFile(delete=False, suffix='.wav') as tmp_file:
+                tmp_file.write(audio_bytes)
+                tmp_path = tmp_file.name
+            
+            # Display the audio player
+            st.audio(audio_bytes, format='audio/wav')
+            
+            # Add download button
+            st.download_button(
+                label="Download Recording",
+                data=audio_bytes,
+                file_name="recording.wav",
+                mime="audio/wav"
+            )
+            
+            # Convert to AudioSegment for analysis
+            audio = AudioSegment.from_wav(tmp_path)
+            
+            # Display audio information
+            st.subheader("Audio Information")
+            col1, col2, col3 = st.columns(3)
+            
+            with col1:
+                st.metric("Duration", f"{len(audio)/1000:.2f} seconds")
+            with col2:
+                st.metric("Channels", audio.channels)
+            with col3:
+                st.metric("Sample Rate", f"{audio.frame_rate} Hz")
+            
+            # Clean up temporary file
+            os.unlink(tmp_path)
+            
+            # Add processing options
+            st.subheader("Audio Processing Options")
+            if st.button("Normalize Audio"):
+                normalized_audio = audio.normalize()
+                normalized_bytes = normalized_audio.export(format='wav').read()
+                st.audio(normalized_bytes, format='audio/wav')
+                st.download_button(
+                    label="Download Normalized Audio",
+                    data=normalized_bytes,
+                    file_name="normalized_recording.wav",
+                    mime="audio/wav"
+                )
+            
+        except Exception as e:
+            status_placeholder.error(f"Error processing audio: {str(e)}")
+            st.stop()
+    
+    # Add instructions
+    with st.expander("How to use"):
+        st.markdown("""
+        1. Click the microphone button to start recording
+        2. Speak into your microphone
+        3. Click the button again to stop recording
+        4. Your recording will appear above with playback controls
+        5. Use the download button to save your recording
+        6. Optional: Use the Normalize Audio button to improve audio quality
+        """)
+    
+    # Add footer
+    st.markdown("---")
+    st.caption("Note: Recording quality depends on your microphone and browser settings")
+
+if __name__ == "__main__":
+    main()