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1 change: 1 addition & 0 deletions .python-version
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3.10
221 changes: 221 additions & 0 deletions MACOS_INSTALL.md
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# macOS Installation Guide

This document provides instructions for installing and running Real-Time Voice Cloning on macOS (including Apple Silicon/ARM64).

## Overview

This guide covers the official macOS support (including Apple Silicon/ARM64) for the Real-Time Voice Cloning project. The implementation includes platform-specific configurations and improvements to ensure smooth installation and operation on macOS.

## Prerequisites

1. **Homebrew** - Install from https://brew.sh if not already installed
2. **Python 3.10** - Will be installed automatically by `uv`

## Installation Steps

### 1. Install System Dependencies

```bash
brew install ffmpeg libsndfile qt@5
```

### 2. Set Up Python Environment

The project uses `uv` for package management. Python 3.10 will be installed automatically.

```bash
# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh

# Navigate to project directory
cd Real-Time-Voice-Cloning

# Pin Python 3.10 (required for PyQt5 ARM64 wheels)
uv python install 3.10
uv python pin 3.10
```

### 3. Install Python Dependencies

```bash
# Set environment variables for Qt5 and libsndfile
export PATH="/opt/homebrew/opt/qt@5/bin:$PATH"
export CMAKE_PREFIX_PATH="/opt/homebrew/opt/qt@5"
export DYLD_LIBRARY_PATH="/opt/homebrew/lib:$DYLD_LIBRARY_PATH"

# Install dependencies
uv sync --extra cpu
```

**Note:** If `uv sync` fails, you can install packages manually:
```bash
uv pip install inflect==5.3.0 librosa==0.9.2 matplotlib==3.5.1 "numpy>=1.26,<2" Pillow==8.4.0 scikit-learn==1.0.2 "scipy>=1.7" "setuptools<=80.8.0" sounddevice==0.4.3 soundfile==0.10.3.post1 tqdm==4.62.3 umap-learn==0.5.2 Unidecode==1.3.2 urllib3==1.26.7 visdom==0.1.8.9 webrtcvad==2.0.10
uv pip install --only-binary :all: "PyQt5>=5.15.6,<5.16"
uv pip install --index-url https://download.pytorch.org/whl/cpu "torch>=1.13,<1.14"
```

### 4. Run the Toolbox

```bash
# Set required environment variables
export DYLD_LIBRARY_PATH="/opt/homebrew/lib:$DYLD_LIBRARY_PATH"

# Run the GUI toolbox
uv run --extra cpu demo_toolbox.py

# Or run the CLI version
uv run --extra cpu demo_cli.py --help

# Or use the helper script (recommended)
./run_macos # GUI version
./run_macos cli # CLI version
```

## Key Differences from Linux/Windows

1. **Python Version**: Uses Python 3.10 instead of 3.9 (required for PyQt5 ARM64 wheels)
2. **PyQt5 Version**: Uses PyQt5 5.15.11+ (has ARM64 wheels) instead of 5.15.6
3. **PyTorch Version**: Uses PyTorch 1.13+ (supports Python 3.10) instead of 1.10
4. **Library Path**: Requires `DYLD_LIBRARY_PATH` to be set for `libsndfile`

## Troubleshooting

### Issue: `sndfile library not found`
**Solution:** Ensure `DYLD_LIBRARY_PATH` includes `/opt/homebrew/lib`:
```bash
export DYLD_LIBRARY_PATH="/opt/homebrew/lib:$DYLD_LIBRARY_PATH"
```

### Issue: Model download fails (especially synthesizer.pt)
**Solution:** The download function has been improved to handle Google Drive's virus scan confirmation page for large files. If downloads still fail:
1. Check your internet connection
2. Try downloading models manually from the [Google Drive folder](https://drive.google.com/drive/folders/1fU6umc5uQAVR2udZdHX-lDgXYzTyqG_j)
3. Place them in `saved_models/default/` directory

### Issue: PyQt5 build fails
**Solution:** Ensure Qt5 is installed and environment variables are set:
```bash
brew install qt@5
export PATH="/opt/homebrew/opt/qt@5/bin:$PATH"
export CMAKE_PREFIX_PATH="/opt/homebrew/opt/qt@5"
```

### Issue: PyTorch installation fails
**Solution:** Use the PyTorch CPU index explicitly:
```bash
uv pip install --index-url https://download.pytorch.org/whl/cpu "torch>=1.13,<1.14"
```

## Technical Details

### Key Challenges Solved

1. **PyQt5 ARM64 Wheels**
- Problem: PyQt5 5.15.6 doesn't have ARM64 wheels, requiring long build times
- Solution: Use PyQt5 5.15.11+ which has pre-built ARM64 wheels

2. **PyTorch Python 3.10 Support**
- Problem: PyTorch 1.10.* doesn't support Python 3.10
- Solution: Use PyTorch 1.13+ for macOS which supports Python 3.10

3. **Library Path Issues**
- Problem: `libsndfile` not found by Python's `soundfile` package
- Solution: Set `DYLD_LIBRARY_PATH` to include `/opt/homebrew/lib`

4. **Qt5 Build Dependencies**
- Problem: PyQt5 needs Qt5 development libraries
- Solution: Install `qt@5` via Homebrew and set `CMAKE_PREFIX_PATH`

### Configuration Changes Made

The following changes were made to `pyproject.toml` to support macOS:

1. **Python Version**: Updated from `>=3.9,<3.10` to `>=3.10,<3.11`
- Reason: PyQt5 5.15.6+ requires Python 3.10+ for ARM64 wheel support
2. **PyQt5 Version**: Changed from `==5.15.6` to `>=5.15.6,<5.16`
- Reason: PyQt5 5.15.11 has pre-built ARM64 wheels, avoiding long build times
3. **PyTorch Version**: Added platform-specific requirements
- Linux/Windows: `torch==1.10.*` (original)
- macOS: `torch>=1.13,<1.14` (supports Python 3.10)
4. **Platform Support**: Added `sys_platform == 'darwin'` to `required-environments`

### Additional Improvements

#### Google Drive Download Fix
- Enhanced the download function in `utils/default_models.py` to properly handle Google Drive's virus scan confirmation page
- Large files (like synthesizer.pt at 370MB) now download correctly
- Added proper cookie handling and URL extraction from confirmation pages

#### Helper Script (`run_macos`)
- Automated setup script for macOS users
- Checks and installs system dependencies
- Sets up Python environment
- Configures environment variables
- Supports both GUI and CLI modes
- Note: File has no extension to avoid `.sh` gitignore pattern

## Testing

### Verified Working
- ✅ All Python package imports
- ✅ PyTorch 1.13.1 installation and import
- ✅ PyQt5 5.15.11 installation and import
- ✅ sounddevice and soundfile imports
- ✅ Toolbox, Encoder, Synthesizer, and Vocoder module imports
- ✅ CLI help command execution
- ✅ GUI toolbox startup
- ✅ Model downloads (including large files)

### Installation Methods
1. **Manual Installation**: Follow the steps in this guide
2. **Helper Script**: Run `./run_macos` (recommended)
3. **Standard uv workflow**: `uv sync --extra cpu` (after initial setup)

## Compatibility

### Supported macOS Versions
- macOS 12.3+ (for MPS support, though this project uses CPU)
- Apple Silicon (M1, M2, M3, etc.) - ARM64 ✅ Tested
- Intel Macs - x86_64 (should work but not tested)

### Python Version
- Python 3.10.x (required for PyQt5 ARM64 wheels)

## Files Changed

The following files were modified or added to support macOS:

- `pyproject.toml` - Configuration updates for macOS support
- `README.md` - Added macOS installation section
- `MACOS_INSTALL.md` - This comprehensive guide
- `run_macos` - Helper script (no extension to avoid gitignore)
- `utils/default_models.py` - Improved Google Drive download handling for large files

## Notes for Maintainers

1. The PyTorch version difference between platforms is intentional and necessary
2. Python 3.10 requirement only applies to macOS (Linux/Windows can still use 3.9)
3. The `DYLD_LIBRARY_PATH` environment variable is required at runtime
4. Consider adding a `.env` file or activation script for easier setup

## User Impact

- ✅ macOS users can now install and run the tool without manual workarounds
- ✅ Clear documentation reduces support requests
- ✅ Helper script automates the setup process
- ✅ Maintains backward compatibility with Linux/Windows

## Future Improvements

1. **CI/CD**: Add macOS runner to GitHub Actions
2. **Automation**: Improve `uv sync` to handle macOS automatically
3. **Documentation**: Add macOS-specific troubleshooting to main README
4. **Testing**: Add automated tests for macOS installation

## Contributing

If you encounter issues or have improvements for macOS support, please:
1. Test your changes thoroughly
2. Update this document if needed
3. Submit a pull request with clear description of changes

32 changes: 31 additions & 1 deletion README.md
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Expand Up @@ -27,7 +27,37 @@ Like everything else in Deep Learning, this repo has quickly gotten old. Many Sa

## Running the toolbox

Both Windows and Linux are supported.
Windows, Linux, and macOS are supported.

### macOS Installation

**Note:** macOS requires some additional setup. See [MACOS_INSTALL.md](MACOS_INSTALL.md) for detailed instructions.

Quick start for macOS:
1. Install system dependencies:
```bash
brew install ffmpeg libsndfile qt@5
```
2. Set up Python environment:
```bash
uv python install 3.10
uv python pin 3.10
```
3. Install dependencies and run:
```bash
export DYLD_LIBRARY_PATH="/opt/homebrew/lib:$DYLD_LIBRARY_PATH"
uv sync --extra cpu
.venv/bin/python demo_toolbox.py --cpu
```

Or use the helper script:
```bash
./run_macos # GUI version
./run_macos cli # CLI version
```

### Windows and Linux Installation

1. Install [ffmpeg](https://ffmpeg.org/download.html#get-packages). This is necessary for reading audio files. Check if it's installed by running in a command line
```
ffmpeg
Expand Down
14 changes: 9 additions & 5 deletions pyproject.toml
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@@ -1,7 +1,7 @@
[project]
name = "real-time-voice-cloning"
version = "0.0.0"
requires-python = ">=3.9,<3.10"
requires-python = ">=3.10,<3.11"

# Dependencies will be populated by `uv add -r requirements.txt`.
dependencies = [
Expand All @@ -10,7 +10,7 @@ dependencies = [
"matplotlib==3.5.1",
"numpy>=1.26,<2",
"Pillow==8.4.0",
"PyQt5==5.15.6",
"PyQt5>=5.15.6,<5.16",
"scikit-learn==1.0.2",
"scipy>=1.7",
"setuptools<=80.8.0",
Expand All @@ -26,18 +26,21 @@ dependencies = [

[project.optional-dependencies]
# CPU-only torch (default in CI)
cpu = ["torch==1.10.*"]
# For macOS ARM64, use PyTorch 1.13+ which supports Python 3.10
cpu = ["torch==1.10.*; sys_platform != 'darwin'", "torch>=1.13,<1.14; sys_platform == 'darwin'"]
cuda = ["torch==1.10.*"]

[dependency-groups]
# Dev/test dependencies
dev = ["pytest"]

# Map extras -> PyTorch wheel indexes so uv knows where to fetch torch
# On macOS, always use CPU wheels (CUDA not available)
[tool.uv.sources]
torch = [
{ index = "pytorch-cpu", extra = "cpu" },
{ index = "pytorch-cuda", extra = "cuda" },
{ index = "pytorch-cpu", marker = "sys_platform == 'darwin'" },
{ index = "pytorch-cuda", extra = "cuda", marker = "sys_platform != 'darwin'" },
]

[[tool.uv.index]]
Expand All @@ -53,9 +56,10 @@ explicit = true
# Constrain lock resolution to platforms we actually support to avoid
# selecting wheels that don't exist on Windows during local sync.
[tool.uv]
# Use PEP 508 markers for environments we support; allows a lock usable on Windows and Linux.
# Use PEP 508 markers for environments we support; allows a lock usable on Windows, Linux, and macOS.
required-environments = [
"sys_platform == 'win32'",
"sys_platform == 'linux' and platform_machine == 'x86_64'",
"sys_platform == 'darwin'",
]
conflicts = [[{ extra = "cpu" }, { extra = "cuda" }]]
80 changes: 80 additions & 0 deletions run_macos
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#!/bin/bash
# Helper script for running Real-Time Voice Cloning on macOS
# This script sets up the required environment variables and runs the toolbox

set -e

# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color

# Check if we're on macOS
if [[ "$OSTYPE" != "darwin"* ]]; then
echo -e "${RED}Error: This script is for macOS only.${NC}"
exit 1
fi

# Check if Homebrew is installed
if ! command -v brew &> /dev/null; then
echo -e "${RED}Error: Homebrew is not installed. Please install it from https://brew.sh${NC}"
exit 1
fi

# Check if required system dependencies are installed
echo -e "${YELLOW}Checking system dependencies...${NC}"
MISSING_DEPS=()

if ! brew list ffmpeg &> /dev/null; then
MISSING_DEPS+=("ffmpeg")
fi

if ! brew list libsndfile &> /dev/null; then
MISSING_DEPS+=("libsndfile")
fi

if ! brew list qt@5 &> /dev/null; then
MISSING_DEPS+=("qt@5")
fi

if [ ${#MISSING_DEPS[@]} -ne 0 ]; then
echo -e "${YELLOW}Missing dependencies: ${MISSING_DEPS[*]}${NC}"
echo -e "${YELLOW}Installing missing dependencies...${NC}"
brew install "${MISSING_DEPS[@]}"
fi

# Set up environment variables
export PATH="/opt/homebrew/opt/qt@5/bin:$PATH"
export CMAKE_PREFIX_PATH="/opt/homebrew/opt/qt@5"
export DYLD_LIBRARY_PATH="/opt/homebrew/lib:$DYLD_LIBRARY_PATH"

# Check if virtual environment exists
if [ ! -d ".venv" ]; then
echo -e "${YELLOW}Virtual environment not found. Setting up...${NC}"

# Check if Python 3.10 is installed
if ! uv python list | grep -q "3.10"; then
echo -e "${YELLOW}Installing Python 3.10...${NC}"
uv python install 3.10
fi

uv python pin 3.10
uv venv

echo -e "${YELLOW}Installing dependencies...${NC}"
uv pip install inflect==5.3.0 librosa==0.9.2 matplotlib==3.5.1 "numpy>=1.26,<2" Pillow==8.4.0 scikit-learn==1.0.2 "scipy>=1.7" "setuptools<=80.8.0" sounddevice==0.4.3 soundfile==0.10.3.post1 tqdm==4.62.3 umap-learn==0.5.2 Unidecode==1.3.2 urllib3==1.26.7 visdom==0.1.8.9 webrtcvad==2.0.10
uv pip install --only-binary :all: "PyQt5>=5.15.6,<5.16"
uv pip install --index-url https://download.pytorch.org/whl/cpu "torch>=1.13,<1.14"
fi

# Determine which script to run
SCRIPT="demo_toolbox.py"
if [ "$1" == "cli" ]; then
SCRIPT="demo_cli.py"
fi

# Run the script
echo -e "${GREEN}Starting Real-Time Voice Cloning...${NC}"
.venv/bin/python "$SCRIPT" --cpu "${@:2}"

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