Trixy3/requirements-optional.txt

# Trixy Voice Assistant - Optional Requirements
# =============================================
# Optional dependencies for extended features, platform-specific optimizations,
# and experimental functionality. Install as needed for specific use cases.

# ===================================
# ENHANCED AUDIO PROCESSING
# ===================================

# Advanced audio analysis and processing
aubio>=0.4.9               # Real-time audio analysis
madmom>=0.16.0             # Music information retrieval
essentia>=2.1              # Audio analysis library
pyworld>=0.3.0             # WORLD vocoder for speech analysis
praat-parselmouth>=0.4.0   # Praat phonetics software interface

# High-quality audio resampling and filtering
soxr>=0.3.0                # High-quality resampling library
pyrubberband>=0.3.0        # Pitch and time stretching

# Room acoustics and spatial audio
pyroomacoustics>=0.6.0     # Room acoustics simulation
sound-field-analysis>=2019.8.15  # Sound field analysis

# Audio quality metrics
pystoi>=0.3.0              # Short-time objective intelligibility
pesq>=0.0.3                # Perceptual evaluation of speech quality
py-webrtcvad>=2.0.10       # Enhanced WebRTC VAD bindings

# ===================================
# ADVANCED MACHINE LEARNING
# ===================================

# Large Language Models and NLP
openai>=0.27.0             # OpenAI API client
anthropic>=0.3.0           # Anthropic Claude API
langchain>=0.0.200         # LLM application framework
huggingface-hub>=0.14.0    # Hugging Face model hub
sentence-transformers>=2.2.0  # Sentence embeddings

# Advanced speech models
nemo-toolkit>=1.17.0       # NVIDIA NeMo speech toolkit
fairseq>=0.12.0            # Facebook AI sequence modeling
speechbrain>=0.5.0         # Already in server reqs, speech processing

# Computer vision (for gesture recognition, etc.)
opencv-python>=4.7.0       # Computer vision library
mediapipe>=0.9.0           # Google MediaPipe framework
face-recognition>=1.3.0    # Face recognition library
dlib>=19.24.0              # Machine learning toolkit

# Advanced deep learning frameworks
lightning>=1.9.0           # PyTorch Lightning
catalyst>=22.4.0           # Deep learning framework
ignite>=0.4.0              # PyTorch Ignite

# Model optimization and quantization
torch-tensorrt>=1.3.0      # TensorRT integration for PyTorch
intel-neural-compressor>=2.0  # Intel optimization toolkit
openvino>=2023.0.0         # Intel OpenVINO toolkit

# ===================================
# HARDWARE ACCELERATION
# ===================================

# GPU acceleration (NVIDIA)
cupy-cuda11x>=11.0.0       # CUDA-accelerated NumPy
pycuda>=2022.1             # CUDA Python bindings
nvidia-ml-py>=11.495.46    # NVIDIA management library
tensorrt>=8.5.0            # NVIDIA TensorRT

# Intel optimization
mkl>=2023.0.0              # Intel Math Kernel Library
intel-extension-for-pytorch>=1.13.0  # Intel PyTorch extensions

# ARM optimization (for Raspberry Pi, etc.)
arm-compute-library>=23.02  # ARM Compute Library (if available)

# ===================================
# SPECIALIZED AUDIO HARDWARE
# ===================================

# USB audio interfaces
python-rtmidi>=1.4.9       # MIDI support
mido>=1.2.10               # MIDI objects for Python

# Raspberry Pi GPIO and hardware
gpiozero>=1.6.2            # GPIO control (Raspberry Pi)
RPi.GPIO>=0.7.1            # Raspberry Pi GPIO library
adafruit-circuitpython-busdevice>=5.2.0  # I2C/SPI device support
adafruit-circuitpython-motor>=3.4.0      # Motor control
adafruit-circuitpython-servokit>=1.3.0   # Servo control

# Arduino integration
pyfirmata>=1.1.0           # Arduino Firmata protocol
pyserial>=3.5              # Serial communication

# Audio hardware interfaces
python-jack-client>=0.5.4  # JACK audio system
pyo>=1.0.4                 # Digital signal processing
python-osc>=1.8.0          # Open Sound Control

# ===================================
# ADVANCED NETWORKING
# ===================================

# Network discovery and protocols
upnpy>=1.1.8               # UPnP protocol
ssdp>=1.1.0                # SSDP discovery protocol
bluetooth-python>=0.1.0    # Bluetooth support (if available)
pybluez>=0.23              # Bluetooth socket support

# Advanced WebRTC
aiortc>=1.5.0              # WebRTC implementation
python-webrtc-vad>=2.0.10  # WebRTC Voice Activity Detection

# IoT and smart home integration
paho-mqtt>=1.6.0           # MQTT client
home-assistant-api>=0.1.0  # Home Assistant integration
zigpy>=0.54.0              # Zigbee protocol support

# ===================================
# DATABASE AND STORAGE
# ===================================

# Advanced databases
asyncpg>=0.27.0            # PostgreSQL async driver
aiomysql>=0.1.0            # MySQL async driver
motor>=3.1.0               # MongoDB async driver
aioredis>=2.0.0            # Already in server reqs, async Redis
elasticsearch>=8.6.0       # Elasticsearch client

# Time series databases
influxdb-client>=1.36.0    # InfluxDB client
prometheus-client>=0.16.0  # Already in server reqs, Prometheus metrics

# Vector databases for embeddings
pinecone-client>=2.2.0     # Pinecone vector database
weaviate-client>=3.15.0    # Weaviate vector database
chromadb>=0.3.0            # Chroma vector database

# ===================================
# CLOUD SERVICES INTEGRATION
# ===================================

# AWS services
boto3>=1.26.0              # AWS SDK
aiobotocore>=2.4.0         # Async AWS SDK

# Google Cloud
google-cloud-speech>=2.17.0  # Google Cloud Speech-to-Text
google-cloud-texttospeech>=2.14.0  # Google Cloud Text-to-Speech
google-cloud-storage>=2.7.0  # Google Cloud Storage

# Microsoft Azure
azure-cognitiveservices-speech>=1.26.0  # Azure Speech Services
azure-storage-blob>=12.14.0  # Azure Blob Storage

# ===================================
# SECURITY AND ENCRYPTION
# ===================================

# Advanced cryptography
pynacl>=1.5.0              # Modern cryptography
python-gnupg>=0.5.0        # GPG encryption
jwcrypto>=1.4.0            # JSON Web Crypto

# Security scanning
bandit>=1.7.4              # Security linting
safety>=2.3.0              # Dependency vulnerability scanning

# ===================================
# MONITORING AND OBSERVABILITY
# ===================================

# APM and distributed tracing
opentelemetry-api>=1.15.0  # OpenTelemetry tracing
jaeger-client>=4.8.0       # Jaeger tracing
datadog>=0.44.0            # Datadog monitoring

# Metrics and alerting
statsd>=3.3.0              # StatsD metrics
grafana-api>=1.0.3         # Grafana API client

# Log aggregation
python-logstash>=0.4.8     # Logstash integration
fluentd-logger>=0.10.0     # Fluentd logging

# ===================================
# DEVELOPMENT AND TESTING
# ===================================

# Load testing and benchmarking
locust>=2.14.0             # Load testing framework
pytest-benchmark>=4.0.0    # Performance benchmarking

# API testing
tavern>=1.23.0             # API testing framework
schemathesis>=3.19.0       # API testing with property-based testing

# Mock services
wiremock>=2.1.0            # HTTP service mocking
testcontainers>=3.7.0      # Integration testing with containers

# ===================================
# USER INTERFACE EXTENSIONS
# ===================================

# Web interface
streamlit>=1.20.0          # Web UI framework
gradio>=3.20.0             # ML model interface
dash>=2.8.0                # Interactive web apps
flask>=2.2.0               # Lightweight web framework

# GUI applications
tkinter-page>=0.1.0        # Tkinter utilities (if available)
pyside6>=6.4.0             # Qt6 Python bindings
kivy>=2.1.0                # Cross-platform GUI framework

# ===================================
# MOBILE AND EMBEDDED
# ===================================

# Mobile app backends
kivy>=2.1.0                # Mobile app framework
beeware>=0.3.0             # Mobile app toolkit

# Embedded system support
micropython>=1.19.0        # MicroPython (for microcontrollers)
circuitpython>=8.0.0       # CircuitPython libraries

# ===================================
# CONTENT AND MEDIA
# ===================================

# Image processing
pillow>=9.4.0              # Image processing library
wand>=0.6.0                # ImageMagick binding

# Video processing
moviepy>=1.0.3             # Video editing library
opencv-python>=4.7.0       # Already listed, computer vision

# Document processing
pypdf2>=3.0.0              # PDF processing
python-docx>=0.8.11        # Word document processing
openpyxl>=3.1.0            # Excel file processing

# ===================================
# SCIENTIFIC COMPUTING
# ===================================

# Advanced scientific libraries
sympy>=1.11.0              # Symbolic mathematics
statsmodels>=0.13.5        # Statistical models
networkx>=3.0              # Graph analysis
igraph>=0.10.0             # Graph analysis library

# Numerical optimization
cvxpy>=1.3.0               # Convex optimization
scipy>=1.10.0              # Already in base, scientific computing

# ===================================
# INTERNATIONALIZATION
# ===================================

# Language detection and translation
langdetect>=1.0.9          # Language detection
googletrans>=4.0.0         # Google Translate API
polyglot>=16.7.4           # Multilingual NLP toolkit

# Text processing
unidecode>=1.3.0           # ASCII transliteration
emoji>=2.2.0               # Emoji support
python-levenshtein>=0.20.0  # String similarity

# ===================================
# INSTALLATION NOTES
# ===================================

# Platform-specific installation:
# 
# All platforms:
# pip install -r requirements-optional.txt
# 
# Raspberry Pi (ARM64):
# pip install opencv-python-headless  # Instead of opencv-python
# sudo apt-get install libatlas-base-dev  # For NumPy acceleration
# 
# NVIDIA GPU systems:
# pip install cupy-cuda11x  # Match your CUDA version
# pip install tensorrt  # Requires NVIDIA TensorRT SDK
# 
# Intel systems with MKL:
# conda install mkl  # Or pip install mkl
# 
# macOS with Apple Silicon:
# pip install tensorflow-metal  # For GPU acceleration (if using TensorFlow)
# 
# Production servers:
# pip install gunicorn[gevent] supervisor  # Process management
# 
# Development workstations:
# pip install jupyter ipython  # Interactive development

# System dependencies (Ubuntu/Debian):
# sudo apt-get install build-essential cmake
# sudo apt-get install libopencv-dev python3-opencv
# sudo apt-get install libasound2-dev portaudio19-dev
# sudo apt-get install ffmpeg libavcodec-extra
# sudo apt-get install redis-server postgresql
# sudo apt-get install nodejs npm  # For web UI features

# Hardware requirements:
# - GPU: NVIDIA RTX 3060 or better (for CUDA acceleration)
# - RAM: 8GB+ for full ML features
# - Storage: 10GB+ for all optional models
# - Network: Gigabit Ethernet for high-quality audio streaming

# Usage examples:
# pip install -r requirements-optional.txt  # Install all optional features
# pip install opencv-python mediapipe  # Install just computer vision
# pip install boto3 google-cloud-speech  # Install just cloud services