from fastai.vision.all import *
import gradio as gr
def Octopus_or_Squid(x): return x[0].isupper()

learn = load_learner('model.pkl')
categories = ('Octopus','Squid')
def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories,map(float,probs)))

image=gr.inputs.Image(shape=(192,192))
label=gr.outputs.Label()
examples=['Octopus.jpg','Squid.jpg']
intf=gr.Interface(fn=classify_image,inputs=image,outputs=label, examples=examples)
intf.launch(inline=False)