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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
β 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
β 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
β Updated Deployment Workflow
- Before: Passed username manually to deployment script
- After: Deployment script automatically gets username from token
- Benefit: Consistent with new automated features
β 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
β Fewer Manual Inputs
- Only need to provide HF token
- Username automatically detected
- Git email still required (for git operations)
β Better Feedback
- Clear messages about automated features
- Shows what's happening automatically
- Better error messages
β Consistent Automation
- All scripts now use automated features
- No manual username input anywhere
- Automatic secret setting
Configuration Summary Updates
Before:
π Configuration Summary:
========================
User: username (manually entered)
Experiment: experiment_name
...
After:
π Configuration Summary:
========================
User: username (auto-detected from token)
Experiment: experiment_name
...
Benefits
- Simplified Workflow: Only need token, username auto-detected
- Consistent Automation: All scripts use automated features
- Better User Experience: Clear feedback about automated features
- Reduced Errors: No manual username input means fewer typos
- Streamlined Process: Fewer steps, more automation
Testing
The updated launch script has been tested for:
- β
Syntax validation (
bash -n launch.sh
) - β Function integration with updated scripts
- β Automated username extraction
- β Consistent workflow with new features
Compatibility
The updated launch script is fully compatible with:
- β
Updated
deploy_trackio_space.py
(automated features) - β
Updated
setup_hf_dataset.py
(username extraction) - β
Updated
configure_trackio.py
(automated configuration) - β 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