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Runtime error
| import gradio as gr | |
| from fastai.vision.all import * | |
| learn = load_learner("brain_tumor_prediction_model.pkl") | |
| categories = ("No tumor detected", "A tumor was detected") | |
| def classify_image(img): | |
| """ | |
| Classify an brain mri as a tumor or not a tumor | |
| Parameters | |
| ---------- | |
| img : PIL image | |
| The image to classify | |
| Returns | |
| ------- | |
| dict | |
| A dictionary with the class names as keys and the probabilities as values | |
| """ | |
| pred, pred_idx, probs = learn.predict(img) | |
| print(probs) | |
| return {categories[i]: float(probs[i]) for i in range(2)} | |
| image = gr.inputs.Image(shape=(224, 224)) | |
| label = gr.outputs.Label() | |
| examples = ["normal_brain_mri.jpeg", "images2.jpeg"] | |
| gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples).launch( | |
| inline=False | |
| ) | |