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Create app_cli.py
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import argparse
import shutil
import soundfile as sf
import app
from app import infer
def main():
parser = argparse.ArgumentParser(description="F5 TTS - CLI interface")
parser.add_argument("--ref_audio", required=True, help="Path to the reference audio file (wav, mp3)")
parser.add_argument("--ref_text", default="", help="Reference text. If empty, audio transcription will be performed.")
parser.add_argument("--gen_text", required=True, help="Text to generate")
parser.add_argument("--exp_name", default="Multi", help="Experiment name / model selection (default: Multi)")
parser.add_argument("--remove_silence", action="store_true", help="Remove silence from the output audio")
parser.add_argument("--cross_fade_duration", type=float, default=0.15, help="Cross-fade duration (s)")
parser.add_argument("--output_audio", default="output.wav", help="Path to the output WAV file")
parser.add_argument("--output_spectrogram", default="spectrogram.png", help="Path to save the spectrogram (PNG)")
parser.add_argument("--language", default="en-us", help="Synthesized language (default: en-us)")
parser.add_argument("--ref_language", default="en-us", help="Reference language (default: en-us)")
parser.add_argument("--speed", type=float, default=1.0, help="Audio speed factor (default: 1.0)")
args = parser.parse_args()
app.language = args.language
app.ref_language = args.ref_language
app.speed = args.speed
(sr, audio_data), spectrogram_path = infer(
args.ref_audio,
args.ref_text,
args.gen_text,
args.exp_name,
args.remove_silence,
args.cross_fade_duration
)
sf.write(args.output_audio, audio_data.astype("float32"), sr)
shutil.copy(spectrogram_path, args.output_spectrogram)
print(f"Audio saved in: {args.output_audio}")
print(f"Spectrogram saved in: {args.output_spectrogram}")
if __name__ == "__main__":
main()