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import gradio as gr | |
from fastai.vision.all import * | |
# Define a function for determining if image is a cat | |
def is_cat(x): | |
return x[0].isupper() | |
# Load pretrained model | |
learn = load_learner("model.pkl") | |
categories = ("Dog", "Cat") | |
def classify_image(img): | |
""" | |
Classify an image as a dog or cat. | |
:param img: Image to classify | |
:return: Dictionary of probabilities for each class | |
""" | |
pred, pred_idx, probs = learn.predict(img) | |
return dict(zip(categories, map(float, probs))) | |
image = gr.inputs.Image(shape=(224, 224)) | |
label = gr.outputs.Label() | |
examples = ["dog.jpg", "cat.jpg", "tiger.jpg", "wolf.jpg"] | |
intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
intf.launch() | |