Add Docker configuration for Maya1 TTS deployment

docker/.dockerignore

@@ -0,0 +1,11 @@
+.git
+.gitignore
+venv/
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+.DS_Store
+logs/
+hf_space/
+docker/

docker/Dockerfile

@@ -0,0 +1,51 @@
+# Use NVIDIA CUDA base image
+FROM nvidia/cuda:12.1.1-devel-ubuntu22.04
+
+# Set environment variables
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV TORCH_CUDA_ARCH_LIST="8.0;8.6;8.9;9.0"
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    python3 \
+    python3-pip \
+    python3-dev \
+    git \
+    libsndfile1 \
+    ffmpeg \
+    curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create symbolic link for python
+RUN ln -s /usr/bin/python3 /usr/bin/python
+
+# Set working directory
+WORKDIR /app
+
+# Copy requirements file
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY maya1/ maya1/
+COPY server.sh .
+COPY samples.txt .
+COPY README.md .
+
+# Create logs directory
+RUN mkdir -p logs
+
+# Expose the API port
+EXPOSE 8000
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
+    CMD curl -f http://localhost:8000/health || exit 1
+
+# Run the application
+CMD ["uvicorn", "maya1.api_v2:app", "--host", "0.0.0.0", "--port", "8000"]

docker/README.md

@@ -0,0 +1,51 @@
+# Maya1 TTS Docker Deployment
+
+This directory contains the configuration for deploying Maya1 TTS using Docker.
+
+## Prerequisites
+
+- Docker installed
+- NVIDIA GPU with drivers installed
+- NVIDIA Container Toolkit installed (for GPU support)
+
+## Files
+
+- `Dockerfile`: The Docker image definition.
+- `docker-gpu.sh`: Helper script to build and run the container with GPU support.
+- `.dockerignore`: Specifies files to exclude from the build context.
+
+## Usage
+
+### Using the helper script
+
+Run the following command from the project root or the `docker` directory:
+
+```bash
+./docker/docker-gpu.sh
+```
+
+This will:
+1. Build the Docker image `maya1-tts`.
+2. Run the container with all available GPUs.
+3. Expose the API on port 8000.
+
+### Manual Build and Run
+
+**Build:**
+
+```bash
+docker build -t maya1-tts -f docker/Dockerfile .
+```
+
+**Run:**
+
+```bash
+docker run --gpus all --ipc=host -p 8000:8000 maya1-tts
+```
+
+## Notes
+
+- The container uses `nvidia/cuda:12.1.1-devel-ubuntu22.04` as the base image.
+- It installs Python 3.10 and all dependencies from `requirements.txt`.
+- The API is available at `http://localhost:8000`.
+- Health check is available at `http://localhost:8000/health`.

docker/docker-gpu.sh

@@ -0,0 +1,31 @@
+#!/bin/bash
+
+# Colors
+GREEN='\033[0;32m'
+BLUE='\033[0;34m'
+NC='\033[0m'
+
+echo -e "${BLUE}Building Maya1 TTS Docker Image...${NC}"
+
+# Navigate to project root
+cd "$(dirname "$0")/.."
+
+# Build the image
+docker build -t maya1-tts -f docker/Dockerfile .
+
+if [ $? -eq 0 ]; then
+    echo -e "${GREEN}Build successful!${NC}"
+    echo -e "${BLUE}Starting container with GPU support...${NC}"
+
+    # Run the container
+    docker run --gpus all \
+        --ipc=host \
+        -p 8000:8000 \
+        --name maya1-tts-server \
+        --rm \
+        -it \
+        maya1-tts
+else
+    echo -e "\033[0;31mBuild failed!${NC}"
+    exit 1
+fi