Update app.py

app.py

@@ -1,10 +1,10 @@
 import streamlit as st
-import noisereduce as nr
 import soundfile as sf
 import io
 import numpy as np
+import pyaudio
+import wave
 from pydub import AudioSegment
-from pydub.silence import split_on_silence, detect_silence
 
 # Define a Streamlit app
 st.title("Audio Processing App")
@@ -12,33 +12,52 @@ 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
-    st.write("Applying noise reduction...")
-    reduced_audio_data = nr.reduce_noise(y=audio, sr=sample_rate)
-
-    # Create an AudioSegment from the reduced audio data
-    reduced_audio = AudioSegment(
-        reduced_audio_data.tobytes(),
+    # Create an AudioSegment from the audio data
+    audio_segment = AudioSegment(
+        audio.tobytes(),
         frame_rate=sample_rate,
-        sample_width=reduced_audio_data.dtype.itemsize,
+        sample_width=2,
         channels=1
     )
 
-    # Split audio on silences
-    st.write("Inserting small silences...")
-    silence_segments = detect_silence(reduced_audio, min_silence_len=100, silence_thresh=-36)
-    silenced_audio = AudioSegment.empty()
-    for start, end in silence_segments:
-        silenced_audio += reduced_audio[start:end]
+    # Slow down the audio based on user's input speed factor
+    st.write(f"Slowing down audio to {speed_factor}x speed...")
+    slowed_audio = audio_segment.speedup(playback_speed=1/speed_factor)
 
     # Provide a link to download the processed audio
-    st.audio(silenced_audio.export(format="wav").read(), format="audio/wav")
+    st.audio(slowed_audio.export(format="wav").read(), format="audio/wav")
+
+    # Play the modified audio
+    st.audio(slowed_audio.export(format="mp3").read(), format="audio/mp3")
+
+    # PyAudio code for capturing and playing audio
+    p = pyaudio.PyAudio()
+    stream_out = p.open(format=pyaudio.paInt16,
+                        channels=1,
+                        rate=int(sample_rate * speed_factor),
+                        output=True)
+
+    stream_in = p.open(format=pyaudio.paInt16,
+                       channels=1,
+                       rate=sample_rate,
+                       input=True)
+
+    for _ in range(1):
+        data = stream_in.read(int(len(slowed_audio) / sample_rate * speed_factor) * 2)
+        stream_out.write(data)
+
+    stream_out.stop_stream()
+    stream_out.close()
+    p.terminate()
 
 # Run the Streamlit app
 if __name__ == "__main__":