SmolFactory / docs /LAUNCH_SCRIPT_UPDATES.md
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Launch Script Updates

This document outlines the updates made to launch.sh to work with the new automated Trackio deployment features.

Key Changes Made

βœ… Removed Manual Username Input

  • Before: Script asked for username manually
  • After: Username is automatically extracted from HF token using whoami()
  • Benefit: Fewer manual inputs, better user experience

βœ… Updated Token Validation

  • Before: validate_hf_token() only validated token
  • After: validate_hf_token_and_get_username() validates token AND extracts username
  • Benefit: Automatic username detection from token

βœ… Updated Deployment Workflow

  • Before: Passed username manually to deployment script
  • After: Deployment script automatically gets username from token
  • Benefit: Consistent with new automated features

βœ… Enhanced User Feedback

  • Before: Basic status messages
  • After: Clear information about automated features
  • Benefit: Users understand what's happening automatically

Updated Workflow

Step 1: Authentication (Simplified)

# Before: Asked for username + token
get_input "Hugging Face username" "" HF_USERNAME
get_input "Hugging Face token" "" HF_TOKEN

# After: Only asks for token, username auto-detected
get_input "Hugging Face token" "" HF_TOKEN
# Username automatically extracted from token

Step 9: Trackio Space Deployment (Automated)

# Before: Manual input file creation
cat > deploy_input.txt << EOF
$HF_USERNAME
$TRACKIO_SPACE_NAME
$HF_TOKEN
$GIT_EMAIL
$HF_USERNAME
EOF
python deploy_trackio_space.py < deploy_input.txt

# After: Direct input with automated features
python deploy_trackio_space.py << EOF
$TRACKIO_SPACE_NAME
$HF_TOKEN
$GIT_EMAIL
$HF_USERNAME
EOF

Step 10: Dataset Setup (Automated)

# Before: Basic dataset setup
python setup_hf_dataset.py

# After: Automated dataset setup with user feedback
print_info "Setting up HF Dataset with automated features..."
print_info "Username will be auto-detected from token"
print_info "Dataset repository: $TRACKIO_DATASET_REPO"
python setup_hf_dataset.py

Step 11: Trackio Configuration (Automated)

# Before: Basic configuration
python configure_trackio.py

# After: Automated configuration with user feedback
print_info "Configuring Trackio with automated features..."
print_info "Username will be auto-detected from token"
python configure_trackio.py

New Function: validate_hf_token_and_get_username()

validate_hf_token_and_get_username() {
    local token="$1"
    if [ -z "$token" ]; then
        return 1
    fi
    
    # Test the token and get username
    export HF_TOKEN="$token"
    if hf whoami >/dev/null 2>&1; then
    # Get username from whoami command
    HF_USERNAME=$(hf whoami | head -n1 | tr -d '\n')
        return 0
    else
        return 1
    fi
}

User Experience Improvements

βœ… Fewer Manual Inputs

  • Only need to provide HF token
  • Username automatically detected
  • Git email still required (for git operations)

βœ… Better Feedback

  • Clear messages about automated features
  • Shows what's happening automatically
  • Better error messages

βœ… Consistent Automation

  • All scripts now use automated features
  • No manual username input anywhere
  • Automatic secret setting

Configuration Summary Updates

Before:

πŸ“‹ Configuration Summary:
========================
  User: username (manually entered)
  Experiment: experiment_name
  ...

After:

πŸ“‹ Configuration Summary:
========================
  User: username (auto-detected from token)
  Experiment: experiment_name
  ...

Benefits

  1. Simplified Workflow: Only need token, username auto-detected
  2. Consistent Automation: All scripts use automated features
  3. Better User Experience: Clear feedback about automated features
  4. Reduced Errors: No manual username input means fewer typos
  5. Streamlined Process: Fewer steps, more automation

Testing

The updated launch script has been tested for:

  • βœ… Syntax validation (bash -n launch.sh)
  • βœ… Function integration with updated scripts
  • βœ… Automated username extraction
  • βœ… Consistent workflow with new features

Compatibility

The updated launch script is fully compatible with:

  • βœ… Updated deploy_trackio_space.py (automated features)
  • βœ… Updated setup_hf_dataset.py (username extraction)
  • βœ… Updated configure_trackio.py (automated configuration)
  • βœ… Existing training and model push scripts

Summary

The launch script now provides a seamless, automated experience that:

  • Extracts username automatically from HF token
  • Uses all the new automated features in the deployment scripts
  • Provides clear feedback about automated processes
  • Maintains compatibility with existing workflows
  • Reduces manual input requirements
  • Improves overall user experience