| import fastai | |
| from fastai.vision.all import* | |
| import gradio as gr | |
| def is_cat(x):returnx[0].isupper() | |
| learn=load_learner('HAMM 1.pkl') | |
| categories=('akiec','bcc','bkl','df','mel','nv','vasc') | |
| def classify_img(img): | |
| pred,idx,probs=learn.predict(img) | |
| return dict(zip(categories,map(float,probs))) | |
| image =gr.inputs.Image(shape=(192,192)) | |
| label =gr.outputs.Label() | |
| example=['mel.jpg','akiec.jpg','vasc.jpg'] | |
| intf=gr.Interface(fn=classify_img,inputs=image,outputs=label,examples=example) | |
| intf.launch(inline=False) |