Files
ChatTTS/run.py
T

43 lines
1.3 KiB
Python

import sys
import torch
import wave
import ChatTTS
from IPython.display import Audio
def save_wav_file(wav, index):
wav_filename = f"output_audio_{index}.wav"
# Convert numpy array to bytes and write to WAV file
wav_bytes = (wav * 32768).astype('int16').tobytes()
with wave.open(wav_filename, "wb") as wf:
wf.setnchannels(1) # Mono channel
wf.setsampwidth(2) # Sample width in bytes
wf.setframerate(24000) # Sample rate in Hz
wf.writeframes(wav_bytes)
print(f"Audio saved to {wav_filename}")
def main():
# Retrieve text from command line argument
text_input = sys.argv[1] if len(sys.argv) > 1 else "<YOUR TEXT HERE>"
print("Received text input:", text_input)
chat = ChatTTS.Chat()
print("Initializing ChatTTS...")
chat.load_models()
print("Models loaded successfully.")
texts = [text_input]
print("Text prepared for inference:", texts)
wavs = chat.infer(texts, use_decoder=True)
print("Inference completed. Audio generation successful.")
# Save each generated wav file to a local file
for index, wav in enumerate(wavs):
save_wav_file(wav, index)
return Audio(wavs[0], rate=24_000, autoplay=True)
if __name__ == "__main__":
print("Starting the TTS application...")
main()
print("TTS application finished.")