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Update app.py
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app.py
CHANGED
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@@ -1,23 +1,28 @@
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import numpy as np
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import soundfile as sf
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import gradio as gr
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def binauralize(audio_file, simulate_rotation, rotation_speed):
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"""
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Simulate a binaural (stereo) effect by applying a dynamic panning effect
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to an input audio file. No HRIR files are required.
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Parameters:
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audio_file (str): Path to input audio file (mono or stereo).
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simulate_rotation (bool): If True, apply a dynamic rotation (panning) effect.
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rotation_speed (float): Speed of the rotation effect (in Hz).
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Returns:
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output_file (str): Path to the output stereo audio file.
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status (str): Status message.
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"""
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try:
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# Load input audio file
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audio, sr = sf.read(audio_file)
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except Exception as e:
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return None, f"Error reading input audio file: {e}"
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@@ -26,6 +31,19 @@ def binauralize(audio_file, simulate_rotation, rotation_speed):
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if audio.ndim > 1:
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audio = np.mean(audio, axis=1)
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# Create a time vector for the audio length
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t = np.arange(len(audio)) / sr
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@@ -55,7 +73,7 @@ def binauralize(audio_file, simulate_rotation, rotation_speed):
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except Exception as e:
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return None, f"Error writing output audio file: {e}"
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return output_file, "Binaural conversion complete!"
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# Create an enhanced UI using Gradio Blocks and Tabs.
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with gr.Blocks(title="SonicOrbit", css="""
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@@ -66,7 +84,7 @@ with gr.Blocks(title="SonicOrbit", css="""
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""") as demo:
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gr.Markdown("<div class='title'>SonicOrbit</div>")
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gr.Markdown("<div class='subtitle'>Binaural 360 Audio Converter with Dynamic Rotation</div>")
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with gr.Tabs():
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with gr.Tab("Converter"):
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@@ -74,7 +92,8 @@ with gr.Blocks(title="SonicOrbit", css="""
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input_audio = gr.Audio(type="filepath", label="Upload Audio (Mono or Stereo)")
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with gr.Row():
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simulate_rotation = gr.Checkbox(label="Simulate Rotation", value=True)
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rotation_speed = gr.Slider(0.01,
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convert_button = gr.Button("Convert Audio")
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with gr.Row():
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output_audio = gr.Audio(type="filepath", label="Binaural Audio Output")
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@@ -82,7 +101,7 @@ with gr.Blocks(title="SonicOrbit", css="""
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convert_button.click(
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fn=binauralize,
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inputs=[input_audio, simulate_rotation, rotation_speed],
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outputs=[output_audio, status_text]
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)
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@@ -94,8 +113,10 @@ with gr.Blocks(title="SonicOrbit", css="""
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2. **Simulate Rotation:**
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Enable this option to apply a dynamic panning effect that simulates a rotating sound source.
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3. **Rotation Speed:**
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Adjust the slider to set the speed of the rotation effect (in Hertz).
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4. **
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Click the **Convert Audio** button to process your audio file. The output is a binaural (stereo) audio file with the simulated 360° effect.
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Enjoy your immersive 3D audio experience!
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import numpy as np
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import soundfile as sf
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import gradio as gr
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import librosa
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def binauralize(audio_file, simulate_rotation, rotation_speed, auto_rotation):
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"""
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Simulate a binaural (stereo) effect by applying a dynamic panning effect
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to an input audio file. No HRIR files are required.
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If auto_rotation is enabled, AI beat detection (via librosa) is used to
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determine the rotation speed based on the tempo of the audio.
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Parameters:
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audio_file (str): Path to input audio file (mono or stereo).
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simulate_rotation (bool): If True, apply a dynamic rotation (panning) effect.
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rotation_speed (float): Speed of the rotation effect (in Hz).
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auto_rotation (bool): If True, auto-detect rotation speed using AI beat detection.
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Returns:
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output_file (str): Path to the output stereo audio file.
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status (str): Status message.
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"""
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try:
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# Load input audio file using soundfile
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audio, sr = sf.read(audio_file)
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except Exception as e:
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return None, f"Error reading input audio file: {e}"
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if audio.ndim > 1:
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audio = np.mean(audio, axis=1)
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# If auto_rotation is enabled, use librosa to detect tempo and adjust rotation speed.
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if auto_rotation:
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try:
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# librosa expects float32 input.
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audio_float = audio.astype(np.float32)
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tempo, _ = librosa.beat.beat_track(y=audio_float, sr=sr)
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rotation_speed = tempo / 60.0 # Convert BPM to Hz (approx.)
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status_msg = f"Auto rotation enabled: Detected tempo = {tempo:.1f} BPM, setting rotation speed = {rotation_speed:.3f} Hz."
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except Exception as e:
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status_msg = f"Auto rotation failed, using user provided rotation speed. Error: {e}"
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else:
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status_msg = "Using user provided rotation speed."
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# Create a time vector for the audio length
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t = np.arange(len(audio)) / sr
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except Exception as e:
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return None, f"Error writing output audio file: {e}"
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return output_file, f"Binaural conversion complete! {status_msg}"
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# Create an enhanced UI using Gradio Blocks and Tabs.
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with gr.Blocks(title="SonicOrbit", css="""
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""") as demo:
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gr.Markdown("<div class='title'>SonicOrbit</div>")
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gr.Markdown("<div class='subtitle'>Binaural 360 Audio Converter with Dynamic Rotation & AI Beat Detection</div>")
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with gr.Tabs():
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with gr.Tab("Converter"):
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input_audio = gr.Audio(type="filepath", label="Upload Audio (Mono or Stereo)")
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with gr.Row():
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simulate_rotation = gr.Checkbox(label="Simulate Rotation", value=True)
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rotation_speed = gr.Slider(0.01, 5.0, value=0.1, step=0.01, label="Rotation Speed (Hz)")
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auto_rotation = gr.Checkbox(label="Auto Detect Rotation Speed (AI)", value=False)
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convert_button = gr.Button("Convert Audio")
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with gr.Row():
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output_audio = gr.Audio(type="filepath", label="Binaural Audio Output")
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convert_button.click(
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fn=binauralize,
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inputs=[input_audio, simulate_rotation, rotation_speed, auto_rotation],
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outputs=[output_audio, status_text]
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)
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2. **Simulate Rotation:**
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Enable this option to apply a dynamic panning effect that simulates a rotating sound source.
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3. **Rotation Speed:**
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Adjust the slider to set the speed of the rotation effect (in Hertz).
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4. **Auto Detect Rotation Speed (AI):**
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Enable this option to let SonicOrbit analyze your audio and automatically set the rotation speed based on the detected tempo.
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5. **Convert Audio:**
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Click the **Convert Audio** button to process your audio file. The output is a binaural (stereo) audio file with the simulated 360° effect.
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Enjoy your immersive 3D audio experience!
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