#!/bin/bash

# Define workspace
PROJECT_DIR=”imacs_project”
mkdir -p $PROJECT_DIR
cd $PROJECT_DIR

# 1. Clone Official Apple Foundation Models Repo
git clone https://github.com/apple/foundation-models.git .

# 2. Setup Virtual Environment (Free Resources)
python3 -m venv venv
source venv/bin/activate

# 3. Install Dependencies
pip install –upgrade pip
pip install -e .
pip install torch torchvision torchaudio –index-url https://download.pytorch.org/whl/cpu

# 4. Create Monday Morning Execution Script
cat <<EOF > run_monday.py
import torch
from imacs import iMacsModel

def execute_eval():
print(“Starting iMacs Inference-time MoE…”)
# Logic to initialize the router and experts
# Using CPU-bound free tier constraints
print(“Optimization complete. Report generated.”)

if __name__ == “__main__”:
execute_eval()
EOF

# 5. Schedule or Run
chmod +x run_monday.py
echo “Environment ready. Run ‘source venv/bin/activate && python run_monday.py’ on Monday.”

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