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| # AUTOGENERATED! DO NOT EDIT! File to edit: ../colo_app.ipynb. | |
| # %% auto 0 | |
| __all__ = ['learn', 'image', 'label', 'examples', 'intf', 'classify_img'] | |
| # %% ../colo_app.ipynb 1 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # %% ../colo_app.ipynb 4 | |
| learn = load_learner('export.pkl') | |
| # %% ../colo_app.ipynb 7 | |
| def classify_img(img): | |
| pred, cl, probs = learn.predict(img) | |
| prob0 = float(probs[0]) | |
| prob1 = float(probs[1]) | |
| d = { | |
| "This is a colonoscopy photo --- probability:":prob0, | |
| "This is not a colonoscopy photo --- probability:":prob1 | |
| } | |
| return d | |
| # %% ../colo_app.ipynb 9 | |
| image = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| examples = ['colonoscopy.jpg','colonoscopy2.jpg','colonoscopy3.jpg','colonoscopy4.jpg', 'white_square.jpg','dog.jpeg','pinkroundball.jpeg','earthworm.jpg'] | |
| intf=gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) | |