mirror of
https://github.com/Nighthawk42/fulloch.git
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100 lines
2.8 KiB
Bash
Executable File
100 lines
2.8 KiB
Bash
Executable File
#!/bin/bash
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set -e
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# Directory definitions
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BASE_DIR="$(pwd)/data/models"
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GRAMMAR_DIR="$BASE_DIR/grammars"
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HUB_DIR="$BASE_DIR/hub"
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# Model specific variables
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QWEN_REPO="unsloth/Qwen3-4B-Instruct-2507-GGUF"
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QWEN_FILE="Qwen3-4B-Instruct-2507-Q4_K_M.gguf"
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# Define the cache folders
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ASR_TINY_DIR="$HUB_DIR/models--UsefulSensors--moonshine-tiny"
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ASR_DIR="$HUB_DIR/models--Qwen--Qwen3-ASR-1.7B"
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TTS_TINY_DIR="$HUB_DIR/models--hexgrad--Kokoro-82M"
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TTS_DIR="$HUB_DIR/models--Qwen--Qwen3-TTS-12Hz-1.7B-Base"
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# 1. Ensure Dependencies are installed
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if ! command -v huggingface-cli &> /dev/null; then
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echo "⬇️ huggingface-cli not found. Installing..."
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pip install -U "huggingface_hub[cli]"
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fi
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# 2. Create Directory Structure
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echo "📂 Checking directory structure..."
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mkdir -p "$HUB_DIR"
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# 3. Check and Download json.gbnf
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if [ ! -f "$GRAMMAR_DIR/json.gbnf" ]; then
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echo "⬇️ Downloading json.gbnf..."
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wget -q --show-progress -O "$GRAMMAR_DIR/json.gbnf" \
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"https://raw.githubusercontent.com/ggml-org/llama.cpp/master/grammars/json.gbnf"
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else
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echo "✅ json.gbnf exists."
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fi
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# 4. Check and Download Qwen3 GGUF
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if [ ! -f "$BASE_DIR/$QWEN_FILE" ]; then
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echo "⬇️ Downloading $QWEN_FILE..."
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huggingface-cli download "$QWEN_REPO" "$QWEN_FILE" \
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--local-dir "$BASE_DIR" \
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--local-dir-use-symlinks False
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else
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echo "✅ $QWEN_FILE exists."
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fi
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# 5. Check and Download Qwen3 TTS model
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if [ ! -d "$TTS_DIR" ]; then
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echo "⬇️ Downloading Qwen3 TTS..."
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huggingface-cli download Qwen/Qwen3-TTS-12Hz-1.7B-Base \
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--cache-dir "$HUB_DIR"
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else
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echo "✅ Qwen3 TTS model exists."
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fi
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# 5a. Check and Download Kokoro-82M (TTS)
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if [ ! -d "$TTS_TINY_DIR" ]; then
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echo "⬇️ Downloading Kokoro-82M..."
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huggingface-cli download hexgrad/Kokoro-82M \
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--cache-dir "$HUB_DIR"
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else
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echo "✅ Kokoro-82M exists."
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fi
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# 6. Check and Download Qwen3 ASR model
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if [ ! -d "$ASR_DIR" ]; then
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echo "⬇️ Downloading Qwen3 ASR..."
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huggingface-cli download Qwen/Qwen3-ASR-1.7B \
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--cache-dir "$HUB_DIR"
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else
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echo "✅ Qwen3 ASR model exists."
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fi
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# 6a. Check and Download Moonshine Tiny ASR model
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if [ ! -d "$ASR_TINY_DIR" ]; then
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echo "⬇️ Downloading Moonshine Tiny..."
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huggingface-cli download UsefulSensors/moonshine-tiny \
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--cache-dir "$HUB_DIR"
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else
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echo "✅ Moonshine-tiny exists."
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fi
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# # 7. Prompt the user
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# read -p "Are you using a GPU? (y/n): " response
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# response=${response,,}
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# if [[ "$response" == "y" || "$response" == "yes" ]]; then
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# mv Dockerfile Dockerfile_cpu
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# mv Dockerfile_gpu Dockerfile
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# mv compose.yml compose_cpu.yml
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# mv compose_gpu.yml compose.yml
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# echo "✅ Using GPU enabled containers"
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# else
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# echo "✅ Using default containers"
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# fi
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# # 8. Launch Docker Compose
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# echo "🚀 All files checked. Starting services..."
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# docker compose up -d
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