#!/bin/bash # Manual Bark TTS Installation for t-800 # Run this ONCE on t-800 server set -e echo "==========================================" echo " Manual Bark TTS Installation" echo "==========================================" echo "" # Check if running as root or with sudo if [ "$EUID" -ne 0 ]; then echo "Please run with: sudo ./install_bark_manual.sh" exit 1 fi echo "[1/6] Installing system dependencies..." apt-get update apt-get install -y python3 python3-pip python3-venv git ffmpeg curl jq echo "" echo "[2/6] Creating bark user..." if ! id -u bark > /dev/null 2>&1; then useradd -r -m -s /bin/bash bark echo "User 'bark' created" else echo "User 'bark' already exists" fi echo "" echo "[3/6] Setting up application directory..." BARK_DIR="/opt/bark" mkdir -p $BARK_DIR chown bark:bark $BARK_DIR echo "" echo "[4/6] Cloning Bark repository..." cd $BARK_DIR su - bark -c "cd $BARK_DIR && git clone https://github.com/suno-ai/bark.git" chown -R bark:bark $BARK_DIR/bark echo "" echo "[5/6] Creating Python virtual environment and installing dependencies..." cd $BARK_DIR/bark su - bark -c "cd $BARK_DIR/bark && python3 -m venv venv" su - bark -c "cd $BARK_DIR/bark && source venv/bin/activate && pip install --upgrade pip" su - bark -c "cd $BARK_DIR/bark && source venv/bin/activate && pip install -e ." su - bark -c "cd $BARK_DIR/bark && source venv/bin/activate && pip install fastapi uvicorn[standard] python-multipart numpy scipy" echo "" echo "[6/6] Creating systemd service..." cat > /etc/systemd/system/bark-tts.service << EOF [Unit] Description=Bark TTS API Server After=network.target [Service] Type=simple User=bark Group=bark WorkingDirectory=$BARK_DIR/bark Environment="PATH=$BARK_DIR/bark/venv/bin" ExecStart=$BARK_DIR/bark/venv/bin/uvicorn bark_api:app --host 0.0.0.0 --port 8443 --workers 1 Restart=always RestartSec=10 # Memory limits MemoryMax=4G MemoryHigh=3G # CPU limits CPUQuota=80% [Install] WantedBy=multi-user.target EOF # Create Bark API wrapper cat > $BARK_DIR/bark/bark_api.py << 'PYEOF' """ Bark TTS API Server Simple FastAPI wrapper for Bark text-to-speech """ from fastapi import FastAPI, HTTPException, Query from fastapi.responses import StreamingResponse from bark import SAMPLE_RATE, generate_audio, preload_models from scipy.io.wavfile import write as write_wav import numpy as np import io app = FastAPI( title="Bark TTS API", description="Text-to-Speech API using Suno AI's Bark", version="1.0.0" ) # Preload models on startup print("Preloading Bark models...") preload_models() print("Models loaded!") @app.get("/health") async def health_check(): return {"status": "healthy", "service": "bark-tts"} @app.get("/api/voices") async def list_voices(): """List available voice presets""" return { "voices": [ {"id": "v2/en_speaker_0", "name": "English Speaker 0", "language": "en"}, {"id": "v2/en_speaker_1", "name": "English Speaker 1", "language": "en"}, {"id": "v2/en_speaker_6", "name": "English Speaker 6", "language": "en"}, {"id": "v2/es_speaker_0", "name": "Spanish Speaker 0", "language": "es"}, {"id": "v2/es_speaker_1", "name": "Spanish Speaker 1", "language": "es"}, {"id": "v2/es_speaker_3", "name": "Spanish Speaker 3", "language": "es"}, ] } @app.post("/api/generate") async def generate_speech( text: str = Query(..., min_length=1, max_length=500, description="Text to convert to speech"), voice: str = Query(default="v2/en_speaker_1", description="Voice preset to use"), speed: float = Query(default=1.0, ge=0.5, le=2.0, description="Speech speed multiplier"), output_format: str = Query(default="wav", regex="^(mp3|wav|ogg)$", description="Output audio format") ): """Generate speech from text using Bark TTS""" try: # Generate audio audio_array = generate_audio(text, history_prompt=voice) # Apply speed adjustment if needed if speed != 1.0: new_length = int(len(audio_array) / speed) audio_array = audio_array[:new_length] # Convert to bytes audio_buffer = io.BytesIO() write_wav(audio_buffer, SAMPLE_RATE, audio_array) audio_buffer.seek(0) return StreamingResponse( audio_buffer, media_type="audio/wav", headers={ "Content-Disposition": f"attachment; filename=speech.wav", "X-Voice-Used": voice, "X-Speed": str(speed), "X-Duration-Seconds": str(len(audio_array) / SAMPLE_RATE) } ) except Exception as e: raise HTTPException(status_code=500, detail=str(e)) if __name__ == "__main__": import uvicorn uvicorn.run(app, host="0.0.0.0", port=8000) PYEOF chown bark:bark $BARK_DIR/bark/bark_api.py echo "" echo "Enabling and starting service..." systemctl daemon-reload systemctl enable bark-tts systemctl start bark-tts echo "" echo "==========================================" echo " Installation Complete!" echo "==========================================" echo "" echo "Service Status:" systemctl status bark-tts --no-pager echo "" echo "Waiting for Bark to preload models (this takes 1-2 minutes)..." sleep 30 echo "" echo "Testing API..." if curl -s http://localhost:8000/health | jq . > /dev/null 2>&1; then echo "✅ Bark API is running!" curl -s http://localhost:8000/health | jq . else echo "⚠️ API is starting up, models are loading..." echo "Check status with: systemctl status bark-tts" echo "View logs with: journalctl -u bark-tts -f" fi echo "" echo "==========================================" echo " Next Steps" echo "==========================================" echo "" echo "1. Test the API:" echo " curl 'http://localhost:8000/api/generate?text=Hello%20World&voice=v2/en_speaker_1' -o test.wav" echo "" echo "2. Check service status anytime:" echo " systemctl status bark-tts" echo "" echo "3. View logs:" echo " journalctl -u bark-tts -f" echo "" echo "4. Restart service if needed:" echo " systemctl restart bark-tts" echo ""