环境准备
如果没有 mamba，可以这样安装：
shell
"${SHELL}" <(curl -L micro.mamba.pm/install.sh)创建和安装 mamba/anaconda 环境和依赖
shell
mamba create -n fish-speech python=3.10 -y
mamba activate fish-speech
mamba install cmake或者
shell
micromamba create -n fish-speech python=3.10
micromamba activate fish-speech
micromamba install cmake安装 pip 依赖
shell
pip install torch torchvision torchaudio
pip install -e .安装额外依赖
- macOS:
brew install sox - Linux:
apt install libsox-dev
shell
pip install huggingface_hub gradio
pip install openai-whisper fish-speech创建启动脚本
shell
#!/bin/bash
# Set UTF-8 encoding
<NolebasePageProperties />
export LC_ALL=en_US.UTF-8
USE_MIRROR=true
PYTHONPATH=$(dirname "$0")
PYTHON_CMD=$(which python)
API_FLAG_PATH=$(dirname "$0")/API_FLAGS.txt
HF_ENDPOINT="https://huggingface.co"
no_proxy=""
if [ "$USE_MIRROR" = true ]; then
HF_ENDPOINT="https://hf-mirror.com"
no_proxy="localhost, 127.0.0.1, 0.0.0.0"
fi
echo "HF_ENDPOINT: $HF_ENDPOINT"
echo "NO_PROXY: $no_proxy"
$PYTHON_CMD ./tools/download_models.py
API_FLAGS=""
flags=""
if [ -f "$API_FLAG_PATH" ]; then
while IFS= read -r line; do
if [ "${line:0:1}" != "#" ]; then
line=$(echo "$line" | sed 's/ /<SPACE>/g' | sed 's/\\//g' | sed 's/<SPACE>/ /g')
if [ -n "$line" ]; then
API_FLAGS="$API_FLAGS$line "
fi
fi
done < "$API_FLAG_PATH"
fi
if [ -n "$API_FLAGS" ]; then
API_FLAGS=${API_FLAGS::-1}
fi
flags=""
if echo "$API_FLAGS" | grep -q -- "--api"; then
echo
echo "Start HTTP API..."
mode="api"
process_flags=true
elif echo "$API_FLAGS" | grep -q -- "--infer"; then
echo
echo "Start WebUI Inference..."
mode="infer"
process_flags=true
fi
if [ "$process_flags" = true ]; then
for p in $API_FLAGS; do
if [ "$p" != "--$mode" ]; then
flags="$flags $p"
fi
done
if [ -n "$flags" ]; then
flags=${flags:1}
fi
echo "Debug: flags = $flags"
if [ "$mode" = "api" ]; then
$PYTHON_CMD -m tools.api $flags
elif [ "$mode" = "infer" ]; then
$PYTHON_CMD -m tools.webui $flags
fi
fi
echo
echo "Next launch the page..."
$PYTHON_CMD fish_speech/webui/manage.py启动管理 Web UI 界面
shell
chmod +x ./start.sh
./start.sh
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