How to Identify a Song Using Shazamio in a Virtual Environment
This guide walks you through setting up a Python virtual environment, installing the Shazamio library, and identifying a song from a recording.
1Prerequisites
- Python 3.7 or newer installed
- A
.mp3,.wav, or.m4arecording of the song you want to identify
2Step 1: Create and Activate a Virtual Environment
Open a terminal (or command prompt) and run:
# Create a new folder for your project (optional)
mkdir shazam_project && cd shazam_project
# Create the virtual environment
python -m venv venv
# Activate it
source venv/bin/activate3Step 2: Install ShazamIO
Once the virtual environment is activated:
pip install shazamio4Step 3: Identify a Song from a Recording (Using a Command-Line Argument)
Create a Python script (e.g. identify_song.py) with the following content:
import asyncio
import sys
from shazamio import Shazam
async def main(audio_path):
shazam = Shazam()
out = await shazam.recognize_song(audio_path)
if "track" in out:
print(f"Title: {out['track']['title']}")
print(f"Artist: {out['track']['subtitle']}")
else:
print("Song could not be identified.")
if __name__ == "__main__":
if len(sys.argv) != 2:
print("Usage: python identify_song.py <path_to_audio_file>")
sys.exit(1)
asyncio.run(main(sys.argv[1]))To run the script, use:
python identify_song.py your_audio_file.mp3Make sure to replace your_audio_file.mp3 with the actual file path.