import numpy as np import soundfile as sf import gradio as gr import librosa def binauralize(audio_file, simulate_rotation, rotation_speed, auto_rotation): try: audio, sr = sf.read(audio_file) except Exception as e: return None, f"Error reading input audio file: {e}" if audio.ndim > 1: audio = np.mean(audio, axis=1) if auto_rotation: try: audio_float = audio.astype(np.float32) tempo, _ = librosa.beat.beat_track(y=audio_float, sr=sr) tempo = float(tempo) rotation_speed = tempo / 60.0 status_msg = f"Auto rotation enabled: Detected tempo = {tempo:.1f} BPM, setting rotation speed = {rotation_speed:.3f} Hz." except Exception as e: status_msg = f"Auto rotation failed, using user provided rotation speed. Error: {e}" else: status_msg = "Using user provided rotation speed." t = np.arange(len(audio)) / sr if simulate_rotation: angle = 2 * np.pi * rotation_speed * t left = np.cos(angle) * audio right = np.sin(angle) * audio else: left = audio right = audio binaural_audio = np.stack((left, right), axis=-1) max_val = np.max(np.abs(binaural_audio)) if max_val > 0: binaural_audio = binaural_audio / max_val output_file = "output_binaural.wav" try: sf.write(output_file, binaural_audio, sr) except Exception as e: return None, f"Error writing output audio file: {e}" return output_file, f"Binaural conversion complete! {status_msg}" with gr.Blocks(title="SonicOrbit", css=""" /* Custom CSS to enhance spacing and font styling */ .title { font-size: 2.5em; font-weight: bold; text-align: center; margin-bottom: 0.5em; } .subtitle { font-size: 1.2em; text-align: center; margin-bottom: 1em; } .footer { text-align: center; font-size: 0.9em; margin-top: 2em; color: #555; } """) as demo: gr.Markdown("
SonicOrbit
") gr.Markdown("
Binaural 360 Audio Converter with Dynamic Rotation & AI Beat Detection
") with gr.Tabs(): with gr.Tab("Converter"): with gr.Row(): input_audio = gr.Audio(type="filepath", label="Upload Audio (Mono or Stereo)") with gr.Row(): simulate_rotation = gr.Checkbox(label="Simulate Rotation", value=True) rotation_speed = gr.Slider(0.01, 5.0, value=0.1, step=0.01, label="Rotation Speed (Hz)") auto_rotation = gr.Checkbox(label="Auto Detect Rotation Speed (AI)", value=False) convert_button = gr.Button("Convert Audio") with gr.Row(): output_audio = gr.Audio(type="filepath", label="Binaural Audio Output") status_text = gr.Textbox(label="Status", interactive=False) convert_button.click( fn=binauralize, inputs=[input_audio, simulate_rotation, rotation_speed, auto_rotation], outputs=[output_audio, status_text] ) with gr.Tab("Instructions"): gr.Markdown(""" ### How to Use SonicOrbit 1. **Upload Audio:** Upload a mono or stereo audio file. If you upload a stereo file, it will be converted to mono by averaging the channels. 2. **Simulate Rotation:** Enable this option to apply a dynamic panning effect that simulates a rotating sound source. 3. **Rotation Speed:** Adjust the slider to set the speed of the rotation effect (in Hertz). 4. **Auto Detect Rotation Speed (AI):** Enable this option to let SonicOrbit analyze your audio and automatically set the rotation speed based on the detected tempo. 5. **Convert Audio:** Click the **Convert Audio** button to process your audio file. The output is a binaural (stereo) audio file with the simulated 360° effect. Enjoy your immersive 3D audio experience! """) gr.Markdown(""" """) gr.HTML("""
visitor badge
""") if __name__ == "__main__": demo.launch()