run.ipynb

{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: generate_tone"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio numpy"]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import numpy as np\n", "import gradio as gr\n", "\n", "notes = [\"C\", \"C#\", \"D\", \"D#\", \"E\", \"F\", \"F#\", \"G\", \"G#\", \"A\", \"A#\", \"B\"]\n", "\n", "def generate_tone(note, octave, duration):\n", "    sr = 48000\n", "    a4_freq, tones_from_a4 = 440, 12 * (octave - 4) + (note - 9)\n", "    frequency = a4_freq * 2 ** (tones_from_a4 / 12)\n", "    duration = int(duration)\n", "    audio = np.linspace(0, duration, duration * sr)\n", "    audio = (20000 * np.sin(audio * (2 * np.pi * frequency))).astype(np.int16)\n", "    return sr, audio\n", "\n", "demo = gr.Interface(\n", "    generate_tone,\n", "    [\n", "        gr.Dropdown(notes, type=\"index\"),\n", "        gr.Slider(4, 6, step=1),\n", "        gr.Textbox(value=\"1\", label=\"Duration in seconds\"),\n", "    ],\n", "    \"audio\",\n", ")\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}