entrypoint.sh

#!/bin/bash
set -e

# 1. Define the directory
MODEL_DIR="/data/models"

# 2. Print status
echo "--- ENTRYPOINT STARTED ---"
echo "Checking model directory: $MODEL_DIR"

# 3. Create directory if it doesn't exist
mkdir -p $MODEL_DIR

# 4. Check if directory is empty
if [ -z "$(ls -A $MODEL_DIR)" ]; then
   echo "⚠️  Folder is empty! Starting download..."
   
   # Run the download script (using the Python snippet usually found here)
   # We use python to leverage the huggingface_hub library for faster/resumable downloads
   python3 -c "
from huggingface_hub import snapshot_download
import os

print('⬇️  Downloading models to /data/models...')
try:
    snapshot_download(
        repo_id='AIencoder/Axon-Models',
        local_dir='/data/models',
        local_dir_use_symlinks=False,
        repo_type='model'
    )
    print('✅ Download complete!')
except Exception as e:
    print(f'❌ Download failed: {e}')
"
else
   echo "✅ Models found in $MODEL_DIR. Skipping download."
   ls -lh $MODEL_DIR
fi

# 5. Hand over control to the main app
echo "--- STARTING APP ---"
exec "$@"