import numpy as np import soundfile as sf import gradio as gr def binauralize(audio_file, simulate_rotation, rotation_speed): """ Simulate a binaural (stereo) effect by applying a dynamic panning effect to an input audio file. No HRIR files are required. Parameters: audio_file (str): Path to input audio file (mono or stereo). simulate_rotation (bool): If True, apply a dynamic rotation (panning) effect. rotation_speed (float): Speed of the rotation effect (in Hz). Returns: output_file (str): Path to the output stereo audio file. status (str): Status message. """ try: # Load input audio file audio, sr = sf.read(audio_file) except Exception as e: return None, f"Error reading input audio file: {e}" # If the audio is stereo, convert to mono by averaging channels if audio.ndim > 1: audio = np.mean(audio, axis=1) # Create a time vector for the audio length t = np.arange(len(audio)) / sr if simulate_rotation: # Compute a time-varying angle for a full cycle (2π) at the desired rotation speed. angle = 2 * np.pi * rotation_speed * t # Constant power panning: left uses cosine, right uses sine. left = np.cos(angle) * audio right = np.sin(angle) * audio else: # If rotation is not enabled, duplicate the audio to both channels. left = audio right = audio # Combine the channels into a stereo signal. binaural_audio = np.stack((left, right), axis=-1) # Normalize to prevent clipping. max_val = np.max(np.abs(binaural_audio)) if max_val > 0: binaural_audio = binaural_audio / max_val # Save the output to a WAV file. 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, "Binaural conversion complete!" # Create an enhanced UI using Gradio Blocks and Tabs. 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("