Spaces:
Runtime error
Runtime error
| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner('export.pkl') | |
| learn2 = load_learner('export_cancer_type.pkl') | |
| categories = ('Benign', 'Malignant') | |
| categories2 = ( | |
| "Actinic Keratosis", | |
| "Basal Cell Carcinoma", | |
| "Dermatofibroma", | |
| "Melanoma", | |
| "Nevus", | |
| "Pigmented Benign Keratosis", | |
| "Seborrheic Keratosis", | |
| "Squamous Cell Carcinoma", | |
| "Vascular Lesion", | |
| ) | |
| def classify_image(img): | |
| pred,idx,probs = learn.predict(img) | |
| pred2,idx2,probs2 = learn2.predict(img) | |
| return dict(zip(categories, map(float,probs))), dict(zip(categories2, map(float,probs2))) | |
| image = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label() | |
| label2 = gr.outputs.Label() | |
| examples = ['Benign1.jpg','Benign2.jpg','Benign3.jpg', 'Malignant1.jpg', 'Malignant2.jpg', 'Malignant3.jpg', "melanoma.jpg", "actinic keratosis.jpg", "squamous cell carcinoma.jpg"] | |
| title = 'Skin Cancer Predictor' | |
| description = 'This app predicts 1) whether skin cancer is benign or malignant and 2) what type of skin cancer it is. For reference only.' | |
| article = "Author: <a href=\"https://huggingface.co/archietram\">Archie Tram</a>. " | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=[label,label2], examples=examples) | |
| intf.launch(inline=False) |