Text Generation
Transformers
GGUF
English
phi
knowledge-system
reasoning
expert-verification
multi-domain
zero-hallucination
spatial-memory
knowledge-tiles
phi-4
microsoft
knowledge-tiles-iath
conversational
Eval Results (legacy)
Instructions to use kofdai/nullai-knowledge-system with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kofdai/nullai-knowledge-system with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="kofdai/nullai-knowledge-system") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("kofdai/nullai-knowledge-system") model = AutoModelForCausalLM.from_pretrained("kofdai/nullai-knowledge-system", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use kofdai/nullai-knowledge-system with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf kofdai/nullai-knowledge-system:Q4_K_M # Run inference directly in the terminal: llama cli -hf kofdai/nullai-knowledge-system:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf kofdai/nullai-knowledge-system:Q4_K_M # Run inference directly in the terminal: llama cli -hf kofdai/nullai-knowledge-system:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf kofdai/nullai-knowledge-system:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf kofdai/nullai-knowledge-system:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf kofdai/nullai-knowledge-system:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf kofdai/nullai-knowledge-system:Q4_K_M
Use Docker
docker model run hf.co/kofdai/nullai-knowledge-system:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use kofdai/nullai-knowledge-system with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kofdai/nullai-knowledge-system" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kofdai/nullai-knowledge-system", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/kofdai/nullai-knowledge-system:Q4_K_M
- SGLang
How to use kofdai/nullai-knowledge-system with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "kofdai/nullai-knowledge-system" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kofdai/nullai-knowledge-system", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "kofdai/nullai-knowledge-system" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kofdai/nullai-knowledge-system", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Ollama
How to use kofdai/nullai-knowledge-system with Ollama:
ollama run hf.co/kofdai/nullai-knowledge-system:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use kofdai/nullai-knowledge-system with Docker Model Runner:
docker model run hf.co/kofdai/nullai-knowledge-system:Q4_K_M
- Lemonade
How to use kofdai/nullai-knowledge-system with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull kofdai/nullai-knowledge-system:Q4_K_M
Run and chat with the model
lemonade run user.nullai-knowledge-system-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload start_null_ai.sh with huggingface_hub
Browse files- start_null_ai.sh +355 -0
start_null_ai.sh
ADDED
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@@ -0,0 +1,355 @@
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| 1 |
+
#!/bin/bash
|
| 2 |
+
#
|
| 3 |
+
# NullAI ่ตทๅในใฏใชใใ
|
| 4 |
+
#
|
| 5 |
+
# ไฝฟ็จๆนๆณ:
|
| 6 |
+
# ./start_null_ai.sh # ๅ
จใตใผใใน่ตทๅ
|
| 7 |
+
# ./start_null_ai.sh backend # ใใใฏใจใณใใฎใฟ
|
| 8 |
+
# ./start_null_ai.sh frontend # ใใญใณใใจใณใใฎใฟ
|
| 9 |
+
# ./start_null_ai.sh ollama # Ollamaใฎใฟ
|
| 10 |
+
# ./start_null_ai.sh stop # ๅ
จใตใผใในๅๆญข
|
| 11 |
+
|
| 12 |
+
set -e
|
| 13 |
+
|
| 14 |
+
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
|
| 15 |
+
cd "$SCRIPT_DIR"
|
| 16 |
+
|
| 17 |
+
# ่ฒไปใๅบๅ
|
| 18 |
+
RED='\033[0;31m'
|
| 19 |
+
GREEN='\033[0;32m'
|
| 20 |
+
YELLOW='\033[1;33m'
|
| 21 |
+
BLUE='\033[0;34m'
|
| 22 |
+
NC='\033[0m' # No Color
|
| 23 |
+
|
| 24 |
+
log_info() {
|
| 25 |
+
echo -e "${BLUE}[INFO]${NC} $1"
|
| 26 |
+
}
|
| 27 |
+
|
| 28 |
+
log_success() {
|
| 29 |
+
echo -e "${GREEN}[SUCCESS]${NC} $1"
|
| 30 |
+
}
|
| 31 |
+
|
| 32 |
+
log_warn() {
|
| 33 |
+
echo -e "${YELLOW}[WARN]${NC} $1"
|
| 34 |
+
}
|
| 35 |
+
|
| 36 |
+
log_error() {
|
| 37 |
+
echo -e "${RED}[ERROR]${NC} $1"
|
| 38 |
+
}
|
| 39 |
+
|
| 40 |
+
# ใใใผ่กจ็คบ
|
| 41 |
+
show_banner() {
|
| 42 |
+
echo ""
|
| 43 |
+
echo -e "${BLUE}"
|
| 44 |
+
echo " โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ"
|
| 45 |
+
echo " โ โ"
|
| 46 |
+
echo " โ โโโโ โโโโโโ โโโโโโ โโโ โโโโโโ โโโ โ"
|
| 47 |
+
echo " โ โโโโโ โโโโโโ โโโโโโ โโโ โโโโโโโโโโโ โ"
|
| 48 |
+
echo " โ โโโโโโ โโโโโโ โโโโโโ โโโ โโโโโโโโโโโ โ"
|
| 49 |
+
echo " โ โโโโโโโโโโโโโ โโโโโโ โโโ โโโโโโโโโโโ โ"
|
| 50 |
+
echo " โ โโโ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ โโโ โโโโโโ โ"
|
| 51 |
+
echo " โ โโโ โโโโโ โโโโโโโ โโโโโโโโโโโโโโโโ โโโ โโโโโโ โ"
|
| 52 |
+
echo " โ โ"
|
| 53 |
+
echo " โ โ"
|
| 54 |
+
echo " โ Multi-Domain Knowledge Reasoning System โ"
|
| 55 |
+
echo " โ Version 1.0.0 โ"
|
| 56 |
+
echo " โ โ"
|
| 57 |
+
echo " โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ"
|
| 58 |
+
echo -e "${NC}"
|
| 59 |
+
echo ""
|
| 60 |
+
}
|
| 61 |
+
|
| 62 |
+
# ไพๅญ้ขไฟใใงใใฏ
|
| 63 |
+
check_dependencies() {
|
| 64 |
+
log_info "Checking dependencies..."
|
| 65 |
+
|
| 66 |
+
# Python
|
| 67 |
+
if ! command -v python3 &> /dev/null; then
|
| 68 |
+
log_error "Python 3 is not installed"
|
| 69 |
+
exit 1
|
| 70 |
+
fi
|
| 71 |
+
log_success "Python 3: $(python3 --version)"
|
| 72 |
+
|
| 73 |
+
# Node.js
|
| 74 |
+
if ! command -v node &> /dev/null; then
|
| 75 |
+
log_error "Node.js is not installed"
|
| 76 |
+
exit 1
|
| 77 |
+
fi
|
| 78 |
+
log_success "Node.js: $(node --version)"
|
| 79 |
+
|
| 80 |
+
# Ollama (ใชใใทใงใณ)
|
| 81 |
+
if command -v ollama &> /dev/null; then
|
| 82 |
+
log_success "Ollama: installed"
|
| 83 |
+
else
|
| 84 |
+
log_warn "Ollama is not installed (required for local LLM)"
|
| 85 |
+
fi
|
| 86 |
+
|
| 87 |
+
echo ""
|
| 88 |
+
}
|
| 89 |
+
|
| 90 |
+
# ไปฎๆณ็ฐๅขใฎใขใฏใใฃใใผใใจPythonไพๅญ้ขไฟใฎใคใณในใใผใซ
|
| 91 |
+
activate_venv() {
|
| 92 |
+
log_info "Activating virtual environment and installing Python dependencies..."
|
| 93 |
+
if [ ! -d "venv" ]; then
|
| 94 |
+
log_info "Creating virtual environment..."
|
| 95 |
+
python3 -m venv venv
|
| 96 |
+
fi
|
| 97 |
+
source venv/bin/activate
|
| 98 |
+
log_success "Virtual environment activated."
|
| 99 |
+
|
| 100 |
+
if [ -f "requirements.txt" ]; then
|
| 101 |
+
log_info "Installing/Upgrading Python dependencies from requirements.txt..."
|
| 102 |
+
pip install -r requirements.txt
|
| 103 |
+
log_success "Python dependencies from requirements.txt installed."
|
| 104 |
+
else
|
| 105 |
+
log_warn "requirements.txt not found. Skipping Python dependency installation."
|
| 106 |
+
fi
|
| 107 |
+
|
| 108 |
+
if [ -f "requirements-huggingface.txt" ]; then
|
| 109 |
+
log_info "Installing/Upgrading Python dependencies from requirements-huggingface.txt..."
|
| 110 |
+
pip install -r requirements-huggingface.txt
|
| 111 |
+
log_success "Python dependencies from requirements-huggingface.txt installed."
|
| 112 |
+
else
|
| 113 |
+
log_warn "requirements-huggingface.txt not found. Skipping HuggingFace dependency installation."
|
| 114 |
+
fi
|
| 115 |
+
|
| 116 |
+
# llama-cpp-pythonใฎใคใณในใใผใซใๆ็คบ็ใซ็ขบ่ช (ใใซใใซๆ้ใใใใใใ)
|
| 117 |
+
if ! python -c "import llama_cpp" &> /dev/null; then
|
| 118 |
+
log_info "llama-cpp-python not found. Installing..."
|
| 119 |
+
# ็นๅฎใฎ็ฐๅข่จญๅฎใๅฟ
่ฆใชๅ ดๅใใใใใใใใใงใฏไธ่ฌ็ใชใคใณในใใผใซ
|
| 120 |
+
pip install llama-cpp-python
|
| 121 |
+
log_success "llama-cpp-python installed."
|
| 122 |
+
else
|
| 123 |
+
log_success "llama-cpp-python is already installed."
|
| 124 |
+
fi
|
| 125 |
+
}
|
| 126 |
+
|
| 127 |
+
# Ollamaใฎ่ตทๅ
|
| 128 |
+
start_ollama() {
|
| 129 |
+
log_info "Starting Ollama..."
|
| 130 |
+
|
| 131 |
+
if ! command -v ollama &> /dev/null; then
|
| 132 |
+
log_error "Ollama is not installed. Please install Ollama from https://ollama.com/download to use Ollama models."
|
| 133 |
+
return 1
|
| 134 |
+
fi
|
| 135 |
+
|
| 136 |
+
# ๆขใซ่ตทๅใใฆใใใ็ขบ่ช
|
| 137 |
+
if curl -s http://localhost:11434/api/tags &> /dev/null; then
|
| 138 |
+
log_success "Ollama is already running."
|
| 139 |
+
return 0
|
| 140 |
+
fi
|
| 141 |
+
|
| 142 |
+
# ใใใฏใฐใฉใฆใณใใง่ตทๅ
|
| 143 |
+
ollama serve &> /tmp/ollama.log &
|
| 144 |
+
OLLAMA_PID=$!
|
| 145 |
+
echo $OLLAMA_PID > /tmp/ollama.pid
|
| 146 |
+
|
| 147 |
+
# ่ตทๅๅพ
ใก
|
| 148 |
+
log_info "Waiting for Ollama to start (max 30 seconds)..."
|
| 149 |
+
for i in $(seq 1 30); do
|
| 150 |
+
if curl -s http://localhost:11434/api/tags &> /dev/null; then
|
| 151 |
+
log_success "Ollama started (PID: $OLLAMA_PID)."
|
| 152 |
+
return 0
|
| 153 |
+
fi
|
| 154 |
+
sleep 1
|
| 155 |
+
done
|
| 156 |
+
log_error "Failed to start Ollama after 30 seconds."
|
| 157 |
+
return 1
|
| 158 |
+
}
|
| 159 |
+
|
| 160 |
+
# ใใใฏใจใณใใฎ่ตทๅ
|
| 161 |
+
start_backend() {
|
| 162 |
+
log_info "Starting Backend API..."
|
| 163 |
+
|
| 164 |
+
activate_venv
|
| 165 |
+
|
| 166 |
+
# ใใผใฟใใผในๅๆๅ๏ผๅฟ
่ฆใชๅ ดๅ๏ผ
|
| 167 |
+
if [ ! -f "sql_app.db" ]; then
|
| 168 |
+
log_info "Initializing database (sql_app.db not found)..."
|
| 169 |
+
if [ -f "init_db.py" ]; then
|
| 170 |
+
"$SCRIPT_DIR/venv/bin/python" init_db.py
|
| 171 |
+
log_success "Database initialized."
|
| 172 |
+
else
|
| 173 |
+
log_warn "init_db.py not found. Skipping database initialization."
|
| 174 |
+
fi
|
| 175 |
+
else
|
| 176 |
+
log_success "Database (sql_app.db) already exists."
|
| 177 |
+
fi
|
| 178 |
+
|
| 179 |
+
# .iathใใกใคใซใฎ็ขบ่ช๏ผๆจนๆจๅ็ฉบ้่จๆถ๏ผ
|
| 180 |
+
IATH_PATH="${IATH_DB_PATH:-knowledge_base.iath}"
|
| 181 |
+
if [ ! -f "$IATH_PATH" ]; then
|
| 182 |
+
log_warn ".iath file not found at: $IATH_PATH"
|
| 183 |
+
log_info "NullAI will start with empty memory."
|
| 184 |
+
log_info "To use dendritic memory, copy .iath file from dendritic-memory-editor:"
|
| 185 |
+
log_info " cp /path/to/exported_db.iath knowledge_base.iath"
|
| 186 |
+
else
|
| 187 |
+
log_success "Dendritic memory loaded from: $IATH_PATH"
|
| 188 |
+
fi
|
| 189 |
+
|
| 190 |
+
# uvicornใง่ตทๅ๏ผไปฎๆณ็ฐๅขใฎPythonใๆ็คบ็ใซไฝฟ็จ๏ผ
|
| 191 |
+
cd "$SCRIPT_DIR"
|
| 192 |
+
# Uvicornใ็ดๆฅ่ตทๅใใใฎใงใฏใชใใmain.pyใ็ดๆฅๅฎ่ก
|
| 193 |
+
log_info "Starting Uvicorn server..."
|
| 194 |
+
"$SCRIPT_DIR/venv/bin/python" -m uvicorn backend.app.main:app --host 0.0.0.0 --port 8000 &> /tmp/backend.log &
|
| 195 |
+
BACKEND_PID=$!
|
| 196 |
+
echo $BACKEND_PID > /tmp/backend.pid
|
| 197 |
+
|
| 198 |
+
log_info "Waiting for Backend API to respond (max 30 seconds)..."
|
| 199 |
+
for i in $(seq 1 30); do
|
| 200 |
+
if curl -s http://localhost:8000/health &> /dev/null; then
|
| 201 |
+
log_success "Backend started (PID: $BACKEND_PID)."
|
| 202 |
+
log_info "API Docs: http://localhost:8000/docs"
|
| 203 |
+
return 0
|
| 204 |
+
fi
|
| 205 |
+
sleep 1
|
| 206 |
+
done
|
| 207 |
+
log_error "Backend API did not respond after 30 seconds."
|
| 208 |
+
return 1
|
| 209 |
+
}
|
| 210 |
+
|
| 211 |
+
# ใใญใณใใจใณใใฎ่ตทๅ
|
| 212 |
+
start_frontend() {
|
| 213 |
+
log_info "Starting Frontend..."
|
| 214 |
+
|
| 215 |
+
cd "$SCRIPT_DIR/frontend"
|
| 216 |
+
|
| 217 |
+
# ไพๅญ้ขไฟใคใณในใใผใซ
|
| 218 |
+
if [ ! -d "node_modules" ]; then
|
| 219 |
+
log_info "Installing frontend dependencies (npm install)..."
|
| 220 |
+
npm install
|
| 221 |
+
log_success "Frontend dependencies installed."
|
| 222 |
+
else
|
| 223 |
+
log_success "Frontend dependencies (node_modules) already exist."
|
| 224 |
+
fi
|
| 225 |
+
|
| 226 |
+
# Vite้็บใตใผใใผ่ตทๅ
|
| 227 |
+
log_info "Starting Vite development server..."
|
| 228 |
+
npm run dev &> /tmp/frontend.log &
|
| 229 |
+
FRONTEND_PID=$!
|
| 230 |
+
echo $FRONTEND_PID > /tmp/frontend.pid
|
| 231 |
+
|
| 232 |
+
cd "$SCRIPT_DIR"
|
| 233 |
+
|
| 234 |
+
log_info "Waiting for Frontend to be accessible (max 30 seconds)..."
|
| 235 |
+
for i in $(seq 1 30); do
|
| 236 |
+
if curl -s http://localhost:5173 &> /dev/null; then
|
| 237 |
+
log_success "Frontend started (PID: $FRONTEND_PID)."
|
| 238 |
+
log_info "Frontend: http://localhost:5173"
|
| 239 |
+
return 0
|
| 240 |
+
fi
|
| 241 |
+
sleep 1
|
| 242 |
+
done
|
| 243 |
+
log_error "Frontend did not become accessible after 30 seconds."
|
| 244 |
+
return 1
|
| 245 |
+
}
|
| 246 |
+
|
| 247 |
+
# ๅ
จใตใผใในๅๆญข
|
| 248 |
+
stop_all() {
|
| 249 |
+
log_info "Stopping all services..."
|
| 250 |
+
|
| 251 |
+
# Backend
|
| 252 |
+
if [ -f /tmp/backend.pid ]; then
|
| 253 |
+
kill $(cat /tmp/backend.pid) 2>/dev/null || true
|
| 254 |
+
rm /tmp/backend.pid
|
| 255 |
+
log_success "Backend stopped"
|
| 256 |
+
fi
|
| 257 |
+
|
| 258 |
+
# Frontend
|
| 259 |
+
if [ -f /tmp/frontend.pid ]; then
|
| 260 |
+
kill $(cat /tmp/frontend.pid) 2>/dev/null || true
|
| 261 |
+
rm /tmp/frontend.pid
|
| 262 |
+
log_success "Frontend stopped"
|
| 263 |
+
fi
|
| 264 |
+
|
| 265 |
+
# Ollama
|
| 266 |
+
if [ -f /tmp/ollama.pid ]; then
|
| 267 |
+
kill $(cat /tmp/ollama.pid) 2>/dev/null || true
|
| 268 |
+
rm /tmp/ollama.pid
|
| 269 |
+
log_success "Ollama stopped"
|
| 270 |
+
fi
|
| 271 |
+
|
| 272 |
+
log_success "All services stopped"
|
| 273 |
+
}
|
| 274 |
+
|
| 275 |
+
# ในใใผใฟใน่กจ็คบ
|
| 276 |
+
show_status() {
|
| 277 |
+
echo ""
|
| 278 |
+
echo "โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ"
|
| 279 |
+
echo "โ NullAI Status โ"
|
| 280 |
+
echo "โ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ๏ฟฝ๏ฟฝ๏ฟฝโโโโโโโโโโโฃ"
|
| 281 |
+
|
| 282 |
+
# Ollama
|
| 283 |
+
if curl -s http://localhost:11434/api/tags &> /dev/null; then
|
| 284 |
+
echo -e "โ Ollama: ${GREEN}Running${NC} http://localhost:11434 โ"
|
| 285 |
+
else
|
| 286 |
+
echo -e "โ Ollama: ${RED}Stopped${NC} โ"
|
| 287 |
+
fi
|
| 288 |
+
|
| 289 |
+
# Backend
|
| 290 |
+
if curl -s http://localhost:8000/health &> /dev/null; then
|
| 291 |
+
echo -e "โ Backend: ${GREEN}Running${NC} http://localhost:8000 โ"
|
| 292 |
+
else
|
| 293 |
+
echo -e "โ Backend: ${RED}Stopped${NC} โ"
|
| 294 |
+
fi
|
| 295 |
+
|
| 296 |
+
# Frontend
|
| 297 |
+
if curl -s http://localhost:5173 &> /dev/null; then
|
| 298 |
+
echo -e "โ Frontend: ${GREEN}Running${NC} http://localhost:5173 โ"
|
| 299 |
+
else
|
| 300 |
+
echo -e "โ Frontend: ${RED}Stopped${NC} โ"
|
| 301 |
+
fi
|
| 302 |
+
|
| 303 |
+
echo "โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ"
|
| 304 |
+
echo ""
|
| 305 |
+
}
|
| 306 |
+
|
| 307 |
+
# ใกใคใณๅฆ็
|
| 308 |
+
main() {
|
| 309 |
+
show_banner
|
| 310 |
+
|
| 311 |
+
case "${1:-all}" in
|
| 312 |
+
all)
|
| 313 |
+
check_dependencies
|
| 314 |
+
activate_venv # Venv activation and Python deps first
|
| 315 |
+
start_ollama
|
| 316 |
+
start_backend
|
| 317 |
+
log_info "Waiting 5 seconds for all backend routes to be ready..."
|
| 318 |
+
sleep 5
|
| 319 |
+
start_frontend
|
| 320 |
+
show_status
|
| 321 |
+
log_success "NullAI is ready!"
|
| 322 |
+
echo ""
|
| 323 |
+
echo "Press Ctrl+C to stop watching logs, or run './start_null_ai.sh stop' to stop all services"
|
| 324 |
+
echo ""
|
| 325 |
+
# ใญใฐใ่กจ็คบ
|
| 326 |
+
tail -f /tmp/backend.log /tmp/frontend.log 2>/dev/null
|
| 327 |
+
;;
|
| 328 |
+
backend)
|
| 329 |
+
check_dependencies
|
| 330 |
+
start_backend
|
| 331 |
+
show_status
|
| 332 |
+
tail -f /tmp/backend.log 2>/dev/null
|
| 333 |
+
;;
|
| 334 |
+
frontend)
|
| 335 |
+
start_frontend
|
| 336 |
+
show_status
|
| 337 |
+
tail -f /tmp/frontend.log 2>/dev/null
|
| 338 |
+
;;
|
| 339 |
+
ollama)
|
| 340 |
+
start_ollama
|
| 341 |
+
;;
|
| 342 |
+
stop)
|
| 343 |
+
stop_all
|
| 344 |
+
;;
|
| 345 |
+
status)
|
| 346 |
+
show_status
|
| 347 |
+
;;
|
| 348 |
+
*)
|
| 349 |
+
echo "Usage: $0 {all|backend|frontend|ollama|stop|status}"
|
| 350 |
+
exit 1
|
| 351 |
+
;;
|
| 352 |
+
esac
|
| 353 |
+
}
|
| 354 |
+
|
| 355 |
+
main "$@"
|