dnth/rice-disease-classifier

1import gradio as gr2from fastai.vision.all import *3import skimage4 5learn = load_learner('learner.pkl')6 7labels = learn.dls.vocab8def predict(img):9    img = PILImage.create(img)10    pred,pred_idx,probs = learn.predict(img)11    return {labels[i]: float(probs[i]) for i in range(len(labels))}12 13import os14for root, dirs, files in os.walk(r'sample_images/'):15    for filename in files:16        print(filename)17 18title = "Rice Disease Classifier"19description = "A rice disease classifier that can detect 3 diseases - blast, blight, tungro"20interpretation='default'21examples = ["sample_images/"+file for file in files] 22article="<p style='text-align: center'><a href='https://dicksonneoh.com/' target='_blank'>Blog post</a></p>"23enable_queue=True24 25gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(384, 384)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue, theme="grass").launch()26