File size: 1,602 Bytes
636a872 |
1 |
{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: reverse_audio"]}, {"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": ["# Downloading files from the demo repo\n", "import os\n", "os.mkdir('audio')\n", "!wget -q -O audio/cantina.wav https://github.com/gradio-app/gradio/raw/main/demo/reverse_audio/audio/cantina.wav\n", "!wget -q -O audio/recording1.wav https://github.com/gradio-app/gradio/raw/main/demo/reverse_audio/audio/recording1.wav"]}, {"cell_type": "code", "execution_count": null, "id": "44380577570523278879349135829904343037", "metadata": {}, "outputs": [], "source": ["\n", "import numpy as np\n", "\n", "import gradio as gr\n", "\n", "def reverse_audio(audio):\n", " sr, data = audio\n", " return (sr, np.flipud(data))\n", "\n", "input_audio = gr.Audio(\n", " sources=[\"microphone\"],\n", " waveform_options=gr.WaveformOptions(\n", " waveform_color=\"#01C6FF\",\n", " waveform_progress_color=\"#0066B4\",\n", " skip_length=2,\n", " show_controls=False,\n", " ),\n", ")\n", "demo = gr.Interface(\n", " fn=reverse_audio,\n", " inputs=input_audio,\n", " outputs=\"audio\"\n", ")\n", "\n", "if __name__ == \"__main__\":\n", " demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5} |