MTG/sft.py

import json
from emotion import get_emotion
from genre import get_genre
from instrument import get_instrument
import os
from pydub import AudioSegment
import tqdm


EXCERPT_LENGTH = 30 * 1000  # 30 seconds in milliseconds
MIN_LENGTH = 5 * 1000  # 5 seconds in milliseconds
    
# Save to JSONL format
for split in ["test", "train", "valid"]:
    output_file_path = f'MTG-Jamendo_{split}.jsonl'  # Replace with the desired output path
    emotion = get_emotion(_=split)
    genre = get_genre(_=split)
    instrument = get_instrument(_=split)
    data_samples = emotion + genre + instrument
    with open(output_file_path, 'w') as outfile:
        for sample in tqdm.tqdm(data_samples):
            # json.dump(sample, outfile)

            audio_path = f"/home/intern-2024-02/dataset/MTG-Jamendo/MTG/audio-low/{sample['audioid'][:-4]}.low.mp3"
            # Check if the audio file exists
            if not os.path.exists(audio_path):
                print(f"File not found: {audio_path}")
                continue

            # Load the audio file
            audio = AudioSegment.from_file(audio_path)
            
            # Process and split the audio into 30-second excerpts
            for i in range(0, len(audio), EXCERPT_LENGTH):
                end = i + EXCERPT_LENGTH
                if end < len(audio):
                    excerpt = audio[i:end]
                else:
                    excerpt = audio[i:]
                    # Discard short audio clips
                    if len(excerpt) < MIN_LENGTH:
                        break
                    end = len(audio)
                
                # # Save the excerpt to the same directory with a new name
                excerpt_path = f"/work/fast_data_yinghao/MTG/audio-low/{sample['audioid'][:-4]}.low_{i//EXCERPT_LENGTH}.wav"
                # excerpt.export(excerpt_path, format="wav")
                
                # Update the sample dictionary with the new audio path
                new_sample = sample.copy()
                new_sample["audioid"] = excerpt_path
                
                # Dump the new sample to the JSONL file
                json.dump(new_sample, outfile)
                outfile.write('\n')

            #     print(excerpt_path)
            # break
            # Remove the original audio file
            # os.remove(audio_path)

            # outfile.write('\n')
    outfile.close()

# print(f"Data successfully transformed and saved to {output_file_path}")