O tomto rozšíření

Text to Speech solution using locally installed TTS.

Repo - https://github.com/coqui-ai/TTS

steps to install coqui-ai/TTS locally
conda create --name tts python=3.11 jupyter -y
conda activate tts
pip install tts flask flask-cors
sudo apt install ffmpeg

create the server file and run it - server.py

server.py

    from flask import Flask, request
    from flask_cors import CORS
    import subprocess
    import os

    app = Flask(__name__)
    CORS(app)

    # Define output path
    OUTPUT_DIR = os.path.expanduser("~/tts")
    OUTPUT_FILE = os.path.join(OUTPUT_DIR, "output.wav")

    @app.route("/speak", methods=["POST"])
    def speak():
        text = request.json.get("text", "")
        print("Received text:", repr(text))

        if not text:
            return {"error": "No text provided"}, 400

        # Create output folder if it doesn't exist
        os.makedirs(OUTPUT_DIR, exist_ok=True)

        # Build and run the TTS command safely
        subprocess.run([
            "conda", "run", "-n", "tts",
            "tts",
            "--text", text,
            "--model_name", "tts_models/en/ljspeech/glow-tts",
            "--out_path", OUTPUT_FILE
        ])

        # Notify user
        os.system(f'notify-send "TTS" "Speaking: {text[:80]}..."')

        # Play the generated audio
        subprocess.run(["ffplay", "-nodisp", "-autoexit", OUTPUT_FILE])

        return {"status": "done"}

    if __name__ == "__main__":
        print("Starting server...")
        app.run(port=5002, debug=True)

Enjoy Freedom of Speech.

My first extension. Please let me know if there are any issues or solutions.
Special thanks to ChatGPT.

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