# Core dependencies
flask>=3.0.0,<4.0.0
flask-cors>=4.0.0,<5.0.0
gradio>=4.0.0,<5.0.0
huggingface-hub>=0.20.0,<1.0.0  # For HF dataset repo storage
numpy>=1.24.0,<2.0.0
scipy>=1.10.0,<2.0.0
librosa>=0.10.0,<0.11.0
soundfile>=0.12.0,<1.0.0
pydantic>=2.0.0,<3.0.0
python-dotenv>=1.0.0,<2.0.0
pyyaml>=6.0,<7.0
requests>=2.31.0,<3.0.0

# PyTorch - pinned versions for compatibility
torch==2.4.0
torchaudio==2.4.0

# DiffRhythm 2 core dependencies
torchdiffeq>=0.2.4,<0.3.0  # Required for CFM (flow matching)
phonemizer>=3.2.0,<4.0.0
muq>=0.1.0,<0.2.0  # MuQ-MuLan style encoder for music generation
jieba>=0.42.0,<1.0.0  # Chinese text segmentation
pypinyin>=0.50.0,<1.0.0  # Chinese to pinyin conversion
cn2an>=0.5.0,<0.6.0  # Chinese number to text
onnxruntime>=1.15.0,<2.0.0  # For g2p Chinese model
pykakasi>=2.3.0,<3.0.0  # Japanese text processing
pyopenjtalk>=0.3.0,<0.5.0; python_version < "3.12"  # Japanese phonetics (Python 3.11 compatible)
unidecode>=1.3.0,<2.0.0  # Text normalization
py3langid>=0.2.2,<0.4.0  # Language detection
inflect>=5.0.0,<8.0.0  # English number-to-word conversion for g2p

# AI Model dependencies - tightly constrained for compatibility
transformers==4.47.1  # Pinned for DiffRhythm2 compatibility
diffusers>=0.21.0,<0.31.0  # Avoid latest versions with breaking changes
sentencepiece>=0.1.99,<0.2.0
protobuf>=3.20.0,<4.0.0
accelerate>=0.20.0,<0.25.0  # Constrained to avoid resolution issues
einops>=0.7.0,<0.9.0
omegaconf>=2.3.0,<3.0.0

# Audio processing - constrained versions
pedalboard>=0.7.0,<0.8.0  # Avoid newer versions causing conflicts
pydub>=0.25.1,<1.0.0
resampy>=0.4.2,<0.5.0

# Audio quality enhancement - disable problematic packages
demucs==4.0.1  # Stem separation
# noisereduce>=3.0.0  # DISABLED - causes dependency conflicts
# audiosr>=0.0.7  # DISABLED - causes dependency conflicts

# LoRA Training dependencies
peft>=0.6.0,<0.13.0  # Parameter-Efficient Fine-Tuning (LoRA adapters)
datasets>=2.14.0,<3.0.0  # HuggingFace datasets for training data management
tensorboard>=2.13.0,<3.0.0  # Training monitoring and visualization
wandb>=0.15.0,<1.0.0  # Optional: Advanced experiment tracking

# Utilities
tqdm>=4.65.0,<5.0.0
safetensors>=0.3.0,<0.5.0
gitpython>=3.1.0,<4.0.0