# Core dependencies
gradio>=5.34.2
spaces>=0.19.0

# AI/ML frameworks
torch>=2.5.1
torchvision>=0.20.1
torchaudio>=2.5.1
transformers>=4.36.0
diffusers>=0.24.0
accelerate>=0.25.0
bitsandbytes>=0.41.0

# Model-specific dependencies
huggingface-hub>=0.20.0
safetensors>=0.4.1
sentencepiece>=0.1.99
tokenizers>=0.15.0

# Audio processing
librosa>=0.10.1
soundfile>=0.12.1

# Image processing
Pillow>=10.0.0
opencv-python>=4.8.0
rembg>=2.0.50

# 3D processing
trimesh>=4.0.0
numpy-stl>=3.1.1
pygltflib>=1.16.1

# Scientific computing
numpy>=1.24.0
scipy>=1.11.0
scikit-learn>=1.3.0

# Utilities
python-dateutil>=2.8.2
tqdm>=4.66.0
pyyaml>=6.0.1
requests>=2.31.0
aiofiles>=23.2.1

# Optional optimizations
# onnxruntime-gpu>=1.16.0  # For ONNX model support
# xformers>=0.0.23  # For memory-efficient attention

--extra-index-url https://mirrors.cloud.tencent.com/pypi/simple/
--extra-index-url https://mirrors.aliyun.com/pypi/simple

# Build Tools
ninja==1.11.1.1
pybind11==2.13.4

# Core ML/Deep Learning
transformers==4.46.0
diffusers==0.30.0
accelerate==1.1.1
pytorch-lightning==1.9.5
huggingface-hub==0.30.2
safetensors==0.4.4

# Scientific Computing
numpy==1.24.4
scipy==1.14.1
einops==0.8.0
pandas==2.2.2

# Computer Vision & Image Processing
opencv-python==4.10.0.84
imageio==2.36.0
scikit-image==0.24.0
rembg==2.0.65
realesrgan==0.3.0
tb_nightly==2.18.0a20240726
basicsr==1.4.2

# 3D Mesh Processing
trimesh==4.4.7
pymeshlab==2022.2.post3
pygltflib==1.16.3
xatlas==0.0.9
open3d==0.18.0

# Configuration Management
omegaconf==2.3.0
pyyaml==6.0.2
configargparse==1.7

# Web Framework (for demo)
gradio==5.33.0
fastapi==0.115.12
uvicorn==0.34.3

# Utilities
tqdm==4.66.5
psutil==6.0.0

# GPU Computing (requires CUDA)
cupy-cuda12x==13.4.1

# Blender
bpy==4.0

# ONNX Runtime
onnxruntime==1.16.3
torchmetrics==1.6.0

pydantic==2.10.6

timm
pythreejs
torchdiffeq
deepspeed