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import gradio as gr | |
from fastai.vision.all import * | |
from glob import glob | |
learn_inf = load_learner('model.pkl') | |
categories = ("Decease", "Healthy") | |
def classify(img): | |
pred, pred_idx, probs = learn_inf.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
image = gr.inputs.Image(shape=(224, 224)) | |
label = gr.outputs.Label() | |
examples = glob("*.jpg") | |
title = "Strawberry Leaves Decease Classifier" | |
description = "This classifier was trained on the ['Image Dataset for Tipburn Disorder Detection in Strawberry Leaves'](https://data.mendeley.com/datasets/trwfmgjjr6/1) and it is designed to help you detect weather straberry leaves are infected or not." | |
interpretation='default' | |
iface = gr.Interface(fn=classify, inputs=image, outputs=label, examples=examples, | |
title=title, description=description, interpretation=interpretation) | |
iface.launch(enable_queue=True) | |