setup_runtime.sh

#!/bin/bash

echo "🚀 Starting runtime setup..."

# Install Miniconda
mkdir -p ~/miniconda3
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh
bash ~/miniconda.sh -b -u -p ~/miniconda3
rm ~/miniconda.sh
source ~/miniconda3/bin/activate

# Create and activate conda env
~/miniconda3/bin/conda env create --file /cosmos-predict1.yaml
source ~/miniconda3/bin/activate cosmos-predict1

# Install requirements
pip install --no-cache-dir -r /requirements.txt

# CUDA header links (optional, safe to fail silently)
ln -sf $CONDA_PREFIX/lib/python3.10/site-packages/nvidia/*/include/* $CONDA_PREFIX/include/ || true
ln -sf $CONDA_PREFIX/lib/python3.10/site-packages/nvidia/*/include/* $CONDA_PREFIX/include/python3.10 || true
ln -sf $CONDA_PREFIX/lib/python3.10/site-packages/triton/backends/nvidia/include/* $CONDA_PREFIX/include/ || true

# Transformer engine
pip install transformer-engine[pytorch]==1.12.0

# Apex compilation
git clone https://github.com/NVIDIA/apex
cd apex
 CUDA_HOME=$CONDA_PREFIX pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation \
  --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" .

# MoGe
pip install git+https://github.com/microsoft/MoGe.git

# Launch Gradio app
cd /app
python app.py