import os
import sys
# Placeholder for Qwen-TTS integration
# In a real implementation, this would import the Qwen model/pipeline
# For the prototype, we will use the Mac 'say' command to ensure it works immediately
# while preserving the interface for Qwen.
def generate_audio(text: str, output_path: str, model: str = "qwen-tts"):
"""
Generates audio from text using the specified model.
"""
print(f"Generating audio for: '{text}' using {model}...")
# TODO: Integration with Qwen-TTS
# from transformers import AutoTokenizer, AutoModelForTextToWaveform
# ... implementation ...
# Fallback to Mac's 'say' command for immediate testing
# This allows us to verify the "Video Generation" pipeline without waiting for 5GB+ model downloads
import platform
if platform.system() == 'Darwin':
print(f"Using macOS 'say' fallback for: {output_path}")
os.system(f"say -v Samantha -o {output_path} --data-format=LEF32@22050 '{text}'")
else:
print(f"Warning: Non-macOS system detected ({platform.system()}). validation audio skipped.")
print(f"To enable TTS, please configure the Qwen-TTS integration in tts_driver.py")
# Create a dummy empty file to prevent downstream errors if file is expected
with open(output_path, 'wb') as f:
pass
if __name__ == "__main__":
if len(sys.argv) < 3:
print("Usage: python tts_driver.py <text> <output_path>")
sys.exit(1)
text_input = sys.argv[1]
output_file = sys.argv[2]
generate_audio(text_input, output_file)
