| import gradio as gr | |
| from fastai.vision.all import * | |
| import skimage | |
| learn = load_learner('export.pkl') | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred,pred_idx,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| title = "Kapu" | |
| description = "An app for Chicken Disease Classisfication" | |
| article="<p style='text-align: center'>The app identifies and classifies three chicken diseases: Coccidiosis, Salmonella, and Newcastle, aiding in effective disease management for poultry farming.</p>" | |
| examples = ['test_image.png'] | |
| interpretation='default' | |
| enable_queue=True | |
| gr.Interface(fn=predict, inputs=gr.components.Image(), outputs=gr.components.Label(num_top_classes=3), examples=examples).launch() | |