FireTTS nga dishdare

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.