from fastai.vision.all import *
import gradio as gr
import dill

def is_cat(x): return x[0].isupper()

learn = load_learner('model.pkl', pickle_module=dill)


categories = ('Dog', 'Cat')

def classify_image(img):
    pred, idx, probs = learn.predict(img)
    return dict(zip(categories, map(float, probs)))

image = gr.Image()
label = gr.Label()

examples = ['siamese.png']

# intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
# intf.launch()

def greet(name, intensity):
    return "Hello, " + name + "!" * int(intensity)

demo = gr.Interface(
    fn=greet,
    inputs=["text", "slider"],
    outputs=["text"],
)

demo.launch()