1.1 KiB
1.1 KiB
WCGA AI validator
- Install the required dependencies
pip install -r requirements.txt.env variable
mllm_end_point_openai=‘https://hiis-accessibility-fonderia.cognitiveservices.azure.com/openai/deployments/gpt-4o/chat/completions?api-version=2025-01-01-preview’
mllm_api_key_openai=
mllm_model_id_openai=‘gpt-4o’
mllm_end_point_local=‘https://vgpu.hiis.cloud.isti.cnr.it/api/chat’
mllm_api_key_local=
#mllm_model_id_local=‘gemma3:12b’
mllm_model_id_local=‘gemma3:4b’
use_openai_model=‘False’ # use ‘True’ if openai else False
For the CLI version use:
python wcag_validator.py
For the RESTservice use:
python wcag_validator_RESTserver.py
For UI use:
python wcag_validator_ui.py
Docker (file docker placed at path /LLM_accessibility_validator)
Rest server
docker build -t wcag_resr_server . docker run –env-file .env -p 8000:8000 –name wcag_rest_server -d wcag_rest_server ### UI docker build -t wcag_ui . docker run –env-file UI/.env -p 7860:7860 –name wcag_ui -d wcag_ui