YouTube Audio Downloader with Streamlit — Dashboard

Streamlit YouTube Audio Downloader: Convert and Download YouTube Audio in WAV Format

To build a YouTube Audio Downloader using Streamlit, where users can input a YouTube URL, download the audio, and get a .wav file, here’s a clear breakdown of how to do it. The app will fetch the audio stream from the YouTube video, convert it to a .wav file, and let the user download it.

First, I will describe the main libraries to do the app:

Requirements:

First, make sure you have the required libraries installed. You will need:

• pytubefix (for downloading YouTube video streams)
• ffmpeg (for audio conversion)
• streamlit (for building the web interface)

To install them, run:

pip install pytubefix ffmpeg-python streamlit

Streamlit App Code:

Below is the complete Python code to create a YouTube Audio Downloader:

import streamlit as st
import pytubefix
import ffmpeg
from datetime import datetime
import os
# Function to download and convert YouTube audio
def download_audio(youtube_url):
    try:
        # Specify the output file name for the audio
        filename = f"audios/"
        timestamp = datetime.now().strftime('%Y%m%d%H%M%S')
        filename += f"audio_{timestamp}.wav"
# Ensure the directory exists
        os.makedirs("audios", exist_ok=True)
# Create a YouTube object and fetch the stream URL
        yt = pytubefix.YouTube(youtube_url)
# Fetch the first available audio stream
        stream = yt.streams[0].url  # Get the first available stream (usually audio)
# Use ffmpeg to convert the audio stream to a .wav file
        ffmpeg.input(stream).output(filename, format='wav', loglevel="error").run()
# Return the filename for download
        return filename
    except Exception as e:
        st.error(f"Error: {e}")
        return None
# Streamlit Dashboard UI
st.title("YouTube Audio Downloader")
# Input field for YouTube video URL
youtube_url = st.text_input("Enter YouTube Video URL")
if st.button("Download Audio"):
    if youtube_url:
        st.write("Downloading audio...")
        filename = download_audio(youtube_url)
if filename:
            st.success(f"Audio downloaded and saved as: {filename}")
            # Allow user to download the file
            with open(filename, "rb") as audio_file:
                st.download_button(label="Download Audio", data=audio_file, file_name=os.path.basename(filename), mime="audio/wav")
        else:
            st.error("There was an issue with downloading the audio.")
    else:
        st.error("Please enter a valid YouTube URL.")

How it Works:

1. User Input:

• The user enters the YouTube video URL in the input box.

2. Audio Download and Conversion:

• The app uses pytubefix to fetch the audio stream from the YouTube video.
• It then uses ffmpeg to convert the stream to a .wav file and saves it locally with a unique filename based on the timestamp.

3. Download Button:

• Once the audio is downloaded and converted, the user is provided with a Download Audio button, which allows them to download the .wav file.

4. Error Handling:

• If there is an issue with the YouTube URL or the download, an error message is shown.

Running the Application:

• Save the code to a Python file (e.g., app.py).
• Run the app using the following command in the terminal:

streamlit run app.py

Interacting with the App:

• Open the URL provided by Streamlit in the browser.
• Enter a YouTube URL (e.g., https://www.youtube.com/watch?v=dQw4w9WgXcQ).
• Click the “Download Audio” button to initiate the download and conversion.
• Once the process is complete, a button will appear to download the .wav file.

Example Use Case:

• User Inputs: https://www.youtube.com/watch?v=dQw4w9WgXcQ
• Output: A .wav file is created and made available for download with a unique filename (e.g., audio_20241128123045.wav).

Summary:

This Streamlit-based YouTube Audio Downloader allows users to easily download audio from YouTube videos, convert it to .wav, and download it with just a few clicks. It’s simple, interactive, and works well for data science, content creators, and other users needing to extract audio from YouTube.

I hope this article can help you in your job! Thanks a lot!