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Upload video_to_audio.ipynb
Browse files- docs/video_to_audio.ipynb +139 -0
docs/video_to_audio.ipynb
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"# (YouTube) video to audio"
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],
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"metadata": {
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"id": "kNt1V_xZCYzb"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"- Author: [Pierre Guillou](https://www.linkedin.com/in/pierreguillou/)\n",
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"- Date: 08/10/2023"
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],
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"metadata": {
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"id": "Fa6V8oEynFe-"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"%%capture\n",
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"#!apt-get install -y ffmpeg\n",
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"!python3 -m pip install -U yt-dlp\n",
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"!pip install unidecode\n",
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"!pip install gradio\n",
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"!pip install pydub"
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],
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"metadata": {
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"id": "S4yB5r9RCdkH"
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},
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"execution_count": 1,
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"outputs": []
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},
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{
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"cell_type": "code",
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"source": [
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"import gradio as gr\n",
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"import re, unidecode\n",
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"from unidecode import unidecode\n",
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"import yt_dlp\n",
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"import os\n",
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"import pydub\n",
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"import numpy as np\n",
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"\n",
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"# no space, punctuation, accent in lower string\n",
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"def cleanString(string):\n",
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" cleanString = unidecode(string)\n",
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" cleanString = re.sub('\\W+','_', cleanString)\n",
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" return cleanString.lower()\n",
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"\n",
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"# from audio file path to sample rate and numpy array\n",
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"def read_audio(f, normalized=False):\n",
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" \"\"\"MP3 to numpy array\"\"\"\n",
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" a = pydub.AudioSegment.from_mp3(f)\n",
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" y = np.array(a.get_array_of_samples())\n",
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" if a.channels == 2:\n",
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" y = y.reshape((-1, 2))\n",
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" if normalized:\n",
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" return a.frame_rate, np.float32(y) / 2**15\n",
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" else:\n",
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" return a.frame_rate, y\n",
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"\n",
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"# from YouTube url to audio file path and sample rate + numpy array\n",
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"def download_audio(url):\n",
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"\n",
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" path_to_folder_audio_mp3 = \"./audio/\"\n",
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" ydl_opts = {\n",
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" 'format': 'm4a/bestaudio/best',\n",
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" 'outtmpl': f'{path_to_folder_audio_mp3}%(title)s',\n",
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" 'postprocessors': [{\n",
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" 'key': 'FFmpegExtractAudio',\n",
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" 'preferredcodec': 'mp3',\n",
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" }]\n",
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" }\n",
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"\n",
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" with yt_dlp.YoutubeDL(ydl_opts) as ydl:\n",
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" info_dict = ydl.extract_info(url, download=True)\n",
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" video_title = info_dict['title']\n",
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"\n",
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" # Rename the audio file\n",
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" local_link = video_title + \".mp3\"\n",
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" new_local_link = cleanString(video_title) + \".mp3\"\n",
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" for filename in os.listdir(path_to_folder_audio_mp3):\n",
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" if cleanString(local_link) == cleanString(filename):\n",
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" os.rename(os.path.join(path_to_folder_audio_mp3, filename),os.path.join(path_to_folder_audio_mp3, new_local_link))\n",
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"\n",
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" # get audio file path\n",
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" file_path = path_to_folder_audio_mp3 + new_local_link\n",
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"\n",
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" return file_path, read_audio(file_path)\n",
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"\n",
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"# Gradio interface\n",
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"iface = gr.Interface(fn=download_audio,\n",
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" inputs=gr.Textbox(label=\"YouTube Video URL\"),\n",
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" outputs=[\n",
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" gr.File(label=\"Output Audio File\"),\n",
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" gr.Audio(label=\"Play Audio\", show_download_button=False, format=\"mp3\"),\n",
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" ],\n",
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" allow_flagging=\"never\",\n",
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" title=\"YouTube Video to Audio (mp3)\",\n",
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" description=\"Just paste any YouTube video url and get its corresponding audio file in mp3.\",\n",
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" )\n",
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"iface.launch()"
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],
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"metadata": {
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"id": "9YvB5hBloP1f"
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},
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"execution_count": null,
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"source": [
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"# END"
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],
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"metadata": {
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"id": "u9QYxqjtnzCD"
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}
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}
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]
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}
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