File size: 850 Bytes
94874d2 f248322 cfbbf02 f248322 6f0a49f 58e6525 f248322 d9f1c84 f248322 6f0a49f c643579 f248322 c31e0ad 24e4796 f248322 58e6525 f248322 58e6525 92470de 58e6525 e149f36 94874d2 f248322 6f0a49f 94874d2 f248322 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 | #!/bin/bash
echo "=== STARTING AI SERVER (DUAL-CORE OPTIMIZED) ==="
# Bersihkan proses
pkill -9 ollama || true
rm -rf /tmp/ollama*
# Optimasi RAM & CPU
export OLLAMA_NUM_PARALLEL=1
export OLLAMA_MAX_LOADED_MODELS=1
# 1. Jalankan download model Python di background
python -B download_models.py &
# 2. Jalankan Ollama
ollama serve > ollama.log 2>&1 &
# 3. Tunggu API
for i in {1..60}; do
if curl -s http://127.0.0.1:11434/api/tags > /dev/null; then
echo "Ollama Ready"
break
fi
sleep 2
done
# 4. Pull Models (DeepSeek & Qwen)
echo "Pulling DeepSeek-R1 7b (this may take a few minutes)..."
ollama pull deepseek-r1:7b
echo "Pulling Qwen-2.5 7b Instruct (Paling nurut format JSON)..."
ollama pull qwen2.5:7b-instruct
# 5. Run FastAPI
exec uvicorn app:app --host 0.0.0.0 --port 7860 --workers 1 --timeout-keep-alive 600 |