π Ready to Test - Quick Start
β Installation Complete
All dependencies have been successfully installed:
- fastapi (FastAPI web framework)
- uvicorn (ASGI server)
- lxml (XML processing)
- transformers (AI/ML models)
- torch (PyTorch ML framework)
- pillow/PIL (image processing)
- python-docx (Word document handling)
- pywin32 (Windows COM automation)
- python-dotenv (environment configuration)
π What's Installed
Core AI System:
local_vision.py- FREE local AI model integration (BLIP/GIT)
Server:
server2.py- Main FastAPI backend with alt text remediation
Config:
requirements.txt- Updated with compatible versions.env.example- Configuration template (optional).gitignore- Protects .env files
Testing:
test_ai_setup.py- Diagnostic test script
Docs:
QUICKSTART.md- Quick start guideREADME.md- Project overview
π To Start the Server
cd python-server
python server2.py
You should see:
β
Local AI vision model loaded (BLIP - 100% FREE, No Costs)
π Server running on http://localhost:5000
First run will download BLIP model (~1-2GB) - takes 5-15 minutes
π§ͺ To Test AI Setup
cd python-server
python test_ai_setup.py
This will verify:
- β Transformers library
- β Local BLIP model
- β Image processing
- β AI alt text generation
π File Structure
Accessibility-Checker-BE/
βββ python-server/
β βββ server2.py β Main backend
β βββ local_vision.py β FREE AI engine
β βββ test_ai_setup.py β Test script
β βββ requirements.txt β Dependencies (all installed)
β βββ .env.example β Config template
β βββ .gitignore β Git ignore rules
β βββ QUICKSTART.md β Quick start
β βββ TESTING_READY.md β This file
β βββ README.md β Documentation
βββ api/ β API code
βββ lib/ β Libraries
βββ docs/ β Documentation
βββ tests/ β Test files
π° Cost Verification
| Component | Cost |
|---|---|
| Local BLIP AI | $0 |
| Unlimited alt text generation | $0/month |
| API keys required | 0 |
| Surprise billing | IMPOSSIBLE |
β οΈ Important Notes
- No .env file needed - System works with defaults
- First run is slow - BLIP model downloads (~1-2GB, 5-15 min)
- Subsequent runs are fast - Model is cached locally
- 100% private - Images never leave your computer
- 100% free - No API calls, no costs
β¨ What's Removed
- β OpenAI integration (not recommended for students)
- β API key configuration (no longer needed)
- β Paid billing risk (completely eliminated)
- β Unnecessary documentation files (cleaned up)
π― Next Steps
Start the server:
python server2.pyUpload a PowerPoint file through the Angular frontend
Watch the console for AI progress:
π€ Using FREE local AI (BLIP) for slide 1 β AI generated alt text for Picture 1: '...'Download the remediated PowerPoint
π Troubleshooting
"Module not found" errors
pip install -r requirements.txt
First run taking forever
Normal! BLIP model is ~1-2GB. Wait 5-15 minutes. After download completes, subsequent runs are instant.
Out of memory
Close other programs or use:
# In .env:
LOCAL_VISION_MODEL=blip-base
Can't connect to server
Check that:
- Server is running:
python server2.py - Port 5000 is available
- Firewall allows localhost:5000
π Package Versions Installed
- fastapi β₯ 0.100.0
- uvicorn β₯ 0.28.0
- lxml β₯ 5.0.0 (installed: 6.0.2)
- transformers β₯ 4.35.0 (installed: 5.3.0)
- torch β₯ 2.0.0 (installed: 2.10.0)
- python-docx β₯ 1.0.0
- pillow (Pillow) β₯ 10.0.0
- pywin32 β₯ 306
π Ready to Go!
Everything is installed and ready. Your codebase is:
- β Clean (unnecessary docs removed)
- β Tested (packages verified importable)
- β Free (100% local AI, $0 cost)
- β
Ready (just run
python server2.py)
Start testing! π