tts

@@ -1,85 +0,0 @@
-#!/Users/sij/miniforge3/bin/python
-
-import sys
-import os
-import tempfile
-from pathlib import Path
-import uuid
-import hashlib
-from pydub import AudioSegment
-import torch
-from TTS.api import TTS  # Adjust with actual import
-from playsound import playsound
-
-from TTS.api import TTS
-
-device = torch.device('cpu') # keep trying 'mps' it will eventually be implemented
-model_name = "tts_models/multilingual/multi-dataset/xtts_v2"
-tts = TTS(model_name=model_name).to(device)
-DEFAULT_VOICE = "kiel"
-
-def select_voice(voice_name: str) -> str:
-    voice_dir = Path('/Users/sij/AI/banana-phone/voices')
-    voice_file = voice_dir / f"{voice_name}.wav"
-    if voice_file.is_file():
-        return str(voice_file)
-    else:
-        print(f"Voice file not found for {voice_name}, using default")
-        return str(voice_dir / f"{DEFAULT_VOICE}.wav")
-
-def generate_speech(text, speed, voice_file):
-    output_dir = Path(tempfile.gettempdir())
-    output_dir.mkdir(exist_ok=True)
-
-    short_uuid = str(uuid.uuid4())[:8]
-    output_file_name = f"{Path(voice_file).stem}-{short_uuid}.wav"
-    output_file = output_dir / output_file_name
-
-    tts.tts_to_file(
-        text=text,
-        speed=speed,
-        file_path=output_file,
-        speaker_wav=[voice_file],
-        language="en"
-    )
-
-    return output_file
-
-def main():
-    if len(sys.argv) < 2:
-        print("Usage: python script.py <text/file> [voice] [speed]")
-        sys.exit(1)
-
-    text_input = sys.argv[1]
-    if len(text_input) < 255 and os.path.isfile(text_input):
-        with open(text_input, 'r') as file:
-            text = file.read()
-    else:
-        text = text_input
-
-    voice = sys.argv[2] if len(sys.argv) > 2 else DEFAULT_VOICE
-    speed = float(sys.argv[3]) if len(sys.argv) > 3 else 1.1
-
-    voice_file_path = select_voice(voice)
-
-    print(f"Using voice file at {voice_file_path}")
-
-    combined_audio = AudioSegment.silent(duration=0)
-    output_file = generate_speech(text, speed, voice_file_path)
-    combined_audio += AudioSegment.from_wav(str(output_file))
-
-    # Exporting combined audio
-    final_output_path = Path(tempfile.gettempdir()) / "output.wav"
-    combined_audio.export(str(final_output_path), format="wav")
-
-    # Now playing the generated speech file
-    print(f"Playing generated speech from {final_output_path}")
-    playsound(str(final_output_path))
-
-    # Cleanup
-    os.remove(output_file)
-    os.remove(final_output_path)
-
-if __name__ == "__main__":
-    main()
-