Music Sorter

This project sorts music files based on the detected language of the audio. It uses the Whisper model for language detection and organizes the files accordingly.

Requirements

• Python 3.7+
• Required Python packages (listed in requirements.txt)

Installation

1. Clone the repository:

   git clone <repository_url>
   cd Music sorter

2. Install the required packages:

   pip install -r requirements.txt

3. Download the Whisper model:

   whisper.download_model("large-v3", download_root="whisper_models")

Usage

1. Place your music files in the Music directory.

2. Run the script to sort the music files:

   python music_sorter.py

3. To move files based on the CSV results, set the move_files_flag to True:

   move_files_flag = True

4. To reverse the file movement, set the reverse_move_flag to True:

   reverse_move_flag = True

Features

• Detects the language of audio files using the Whisper model.
• Organizes files into folders based on the detected language.
• Supports reversing the file movement.
• Provides progress tracking with tqdm.
• Updates results in a CSV file.

Agent Approach

The project uses a multi-agent approach to identify the language of the music files:

1. Web Agent: Searches for the song language on the web and returns details from the web search.
2. Language Parser Agent: Parses the language from the details provided by the Web Agent.
3. Song Language Agent: Coordinates the Web Agent and Language Parser Agent to identify the language of the song. The language is returned in title case and is one of the following: English, Hindi, Japanese, or Other.

Agent Script Instructions

1. Ensure you have the required Python packages installed as mentioned in the Installation section.

2. Place your music files in the Music directory.

3. Run the agent script to identify the language of the music files:

   python music_sorter_ai_agent.py

4. The script will process the files and update the language_identification_results.csv file with the identified languages.

5. To move files based on the CSV results, set the move_files_flag to True in the script:

   move_files_flag = True

6. To reverse the file movement, set the reverse_move_flag to True in the script:

   reverse_move_flag = True

Notes

• Ensure you have enough disk space for temporary files and the Whisper model.
• The script uses torch for model quantization to optimize performance.

License

This project is licensed under the MIT License.