| import gradio as gr | |
| from inference import load_for_inference, predict | |
| REPO_ID = "pusulcuk/TurkishVLMTAMGA" | |
| model, tokenizer, device = load_for_inference(REPO_ID) | |
| def answer(image, question): | |
| return predict(model, tokenizer, device, image, question) | |
| gr.Interface( | |
| fn=answer, | |
| inputs=[ | |
| gr.Image(type="pil"), | |
| gr.Textbox(label="Question") | |
| ], | |
| outputs="text", | |
| title="CLIP2MT5 Visual Question Answering" | |
| ).launch() | |