QUICK_DEPLOY.md

🚀 Quick Deploy to Hugging Face Spaces

Prerequisites

• Python 3.8+
• Git installed
• Hugging Face account

Step 1: Setup

# Install requirements
pip install -r requirements.txt

# Run setup script
python setup_hf_space.py

Step 2: Deploy

# Option A: Automated deployment
python deploy_final.py

# Option B: Manual deployment
huggingface-cli login
huggingface-cli repo create textilindo-ai-assistant --type space --sdk gradio

Step 3: Manual Upload (if automated fails)

1. Go to https://huggingface.co/spaces/[your-username]/textilindo-ai-assistant
2. Upload these files:
   • app.py
   • requirements.txt
   • README.md
   • configs/system_prompt.md
   • data/textilindo_training_data.jsonl

Step 4: Test

• Wait for build to complete (2-5 minutes)
• Test your application
• Share the link!

Files Structure

textilindo-ai-assistant/
├── app.py                    # Main Gradio application
├── requirements.txt          # Dependencies
├── README.md                 # Space configuration
├── configs/
│   └── system_prompt.md     # System prompt
└── data/
    └── textilindo_training_data.jsonl

Troubleshooting

• Build fails: Check requirements.txt versions
• App doesn't start: Check app.py for errors
• Data not loading: Verify data files are uploaded
• Memory issues: Use smaller dataset or optimize code

Support

Check the DEPLOYMENT_GUIDE.md for detailed instructions.