| This is demo to use Visual question answering model using E2Ecloud ML. | |
| This is based on gradio UI app with Azure cloud backend | |
| Azure components used are storage,database,VM,CDN , load balancer. | |
| Webserver is run Azure VM. | |
| User can load images from client , that is stored in Azure backendand used by processos to access and process. | |
| The processing transformer VQA module ( dandelin/vilt-b32-finetuned-vqa ) is loaded from huggingface interface. | |
| The cloud backend is used for scaling | |