Add Docker configuration for Maya1 TTS deployment

.github/workflows/docker-publish.yml

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+name: Docker Build and Publish
+
+on:
+  push:
+    branches: [ "master" ]
+    # Publish semver tags as releases.
+    tags: [ 'v*.*.*' ]
+  pull_request:
+    branches: [ "master" ]
+
+env:
+  # Use docker.io for Docker Hub if empty
+  REGISTRY: ghcr.io
+  # github.repository as <account>/<repo>
+  IMAGE_NAME: ${{ github.repository }}
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+      # This is used to complete the identity challenge
+      # with sigstore/fulcio when running outside of PRs.
+      id-token: write
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      # Install the cosign tool except on PR
+      # https://github.com/sigstore/cosign-installer
+      - name: Install cosign
+        if: github.event_name != 'pull_request'
+        uses: sigstore/cosign-installer@v3.5.0
+        with:
+          cosign-release: 'v2.2.4'
+
+      # Set up Buildx
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      # Login against a Docker registry except on PR
+      # https://github.com/docker/login-action
+      - name: Log into registry ${{ env.REGISTRY }}
+        if: github.event_name != 'pull_request'
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+
+      # Extract metadata (tags, labels) for Docker
+      # https://github.com/docker/metadata-action
+      - name: Extract Docker metadata
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          tags: |
+            type=raw,value=latest,enable={{is_default_branch}}
+            type=ref,event=branch
+            type=ref,event=tag
+            type=sha
+
+      # Build and push Docker image with Buildx (don't push on PR)
+      # https://github.com/docker/build-push-action
+      - name: Build and push Docker image
+        id: build-and-push
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          file: docker/Dockerfile
+          push: ${{ github.event_name != 'pull_request' }}
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+
+      # Sign the resulting Docker image digest except on PRs.
+      # This will only write to the public Rekor transparency log when the Docker
+      # repository is public to avoid leaking data.  If you would like to publish
+      # transparency data even for private images, pass --force to cosign below.
+      # https://github.com/sigstore/cosign
+      - name: Sign the published Docker image
+        if: ${{ github.event_name != 'pull_request' }}
+        env:
+          TAGS: ${{ steps.meta.outputs.tags }}
+          DIGEST: ${{ steps.build-and-push.outputs.digest }}
+        run: |
+          if [ -z "$DIGEST" ]; then
+            echo "Digest is empty, skipping signing."
+            exit 0
+          fi
+          echo "Signing image with digest $DIGEST..."
+          if echo "${TAGS}" | xargs -I {} cosign sign --yes {}@${DIGEST}; then
+            echo "Signing succeeded."
+          else
+            echo "Signing failed, but continuing workflow."
+            exit 0
+          fi

docker/.dockerignore

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+.git
+.gitignore
+venv/
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+.DS_Store
+logs/
+hf_space/
+docker/

docker/Dockerfile

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+# Use NVIDIA CUDA base image
+FROM nvidia/cuda:12.8.0-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

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+# 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

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+#!/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