import json import os import subprocess def generate_html_output(data, repository_path): with open('speakers.md', 'a') as file: for speaker_id, speaker_info in data.items(): out_path = f"{repository_path}/samples/{speaker_id}.wav" age = speaker_info['age'] gender = speaker_info['gender'] if gender == 'F': gender = 'female' elif gender == "M": gender = 'male' accents = speaker_info['accents'] region = speaker_info['region'] file.write(f"

VCTK_{speaker_id}: {age} year old {gender}, {accents} accent ({region})

\n") # Load the data from the provided dictionary data = { "p226": {"age": 22, "gender": "M", "accents": "English", "region": "Surrey"}, "p227": {"age": 38, "gender": "M", "accents": "English", "region": "Cumbria"}, "p232": {"age": 23, "gender": "M", "accents": "English", "region": "Southern England"}, "p243": {"age": 22, "gender": "M", "accents": "English", "region": "London"}, "p254": {"age": 21, "gender": "M", "accents": "English", "region": "Surrey"}, "p256": {"age": 24, "gender": "M", "accents": "English", "region": "Birmingham"}, "p258": {"age": 22, "gender": "M", "accents": "English", "region": "Southern England"}, "p259": {"age": 23, "gender": "M", "accents": "English", "region": "Nottingham"}, "p270": {"age": 21, "gender": "M", "accents": "English", "region": "Yorkshire"}, "p273": {"age": 23, "gender": "M", "accents": "English", "region": "Suffolk"}, "p274": {"age": 22, "gender": "M", "accents": "English", "region": "Essex"}, "p278": {"age": 22, "gender": "M", "accents": "English", "region": "Cheshire"}, "p279": {"age": 23, "gender": "M", "accents": "English", "region": "Leicester"}, "p286": {"age": 23, "gender": "M", "accents": "English", "region": "Newcastle"}, "p287": {"age": 23, "gender": "M", "accents": "English", "region": "York"} } # Convert the data to JSON format json_data = json.dumps(data, indent=2) # Save the JSON data to a file with open('speakers-log.json', 'w') as file: file.write(json_data) # Run the TTS command to get the speaker indices command = "tts --model_path checkpoint_85000.pth --config_path config.json --list_speaker_idxs | grep -vE '^(\s*\||\s*>|\s*$)'" output = subprocess.check_output(command, shell=True, text=True) # Parse the JSON output into a Python dictionary speaker_indices = eval(output) # Load the speaker IDs from speakers.json with open('speakers-log.json', 'r') as file: speaker_ids = json.load(file) # Create the speakers.md file with open('speakers.md', 'w') as file: for speaker_idx in speaker_indices: # Remove the 'VCTK_' prefix speaker_id = speaker_idx.replace('VCTK_', '') # Lookup the speaker ID in the loaded speaker IDs if speaker_id in speaker_ids: speaker_id_json = speaker_ids[speaker_id] else: continue # # Generate the TTS command to create the audio file text = f"Hello, I am from {speaker_id_json['region']}. I hope that you will select my voice for your project. Thank you." # # make samples directory if it doesn't exist if not os.path.exists("samples"): os.makedirs("samples") out_path = f"samples/{speaker_id}.wav" tts_command = f"tts --text \"{text}\" --model_path checkpoint_85000.pth --language_idx en --config_path config.json --speaker_idx \"VCTK_{speaker_id}\" --out_path {out_path}" # Execute the TTS command os.system(tts_command) # Write the speaker information to the speakers.md file generate_html_output({speaker_id: speaker_id_json}, "https://huggingface.co/voices/VCTK_European_English_Females/resolve/main")