app.py

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


# def greet(name):
#     return "Hello " + name + "!!"

# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
# iface.launch()

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

# learn = load_learner('model.pkl')
learn = load_learner('cool_hot_model.pkl')

categories = ('Cool dog', 'Hot dog')

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 = ['cool_dog1.jpeg', 'cool_dog2.jpeg', 'hot_dog2.jpeg']

intface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intface.launch(inline=False)