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from fastai.vision.all import *
import gradio as gr
# def greet(name):
# return "Hello " + name + "!!"
def is_cat(x):
return x[0].isupper()
learn = load_learner('model.pkl')
def classify_image(img):
pred, idx, probs = learn.predict(img)
return dict(zip(learn.dls.vocab, map(float, probs)))
image = gr.Image(shape=(192, 192))
label = gr.outputs.Label()
demo = gr.Interface(fn=classify_image, inputs=image, outputs=label)
# demo.launch()
# demo = gr.Interface(
# fn = classify_image,
# inputs=gr.Image(type='pil'),
# outputs=[gr.Textbox(label="Predicted Label"), gr.Image(label="Labeled Image")],
# title="Image Classification App",
# description="Upload an image and get the predicted label and labeled image."
# )
if __name__ == "__main__":
demo.launch(share=True) |