| import gradio as gr | |
| from transformers import pipeline | |
| pipe = pipeline("image-to-text", model="daniyal214/finetuned-blip-chest-xrays") | |
| def get_captions(image_path): | |
| result = pipe("/content/PMC2740289_1757-1626-0002-0000006174-002.jpg") | |
| result = result[0]['generated_text'] | |
| return result | |
| iface = gr.Interface(fn = get_captions, inputs = "image", outputs = ['text'], title="X-rays Image Caption Generator") | |
| iface.launch() |