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

learn = load_learner('model.pkl')

categories = ('female', 'male')

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 = ['lionmale.jpg', 'lionfemale.jpg']

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

def greet(name):
    return "Hello " + name + "!!"
    
iface = gr.Interface(fn=greet, inputs="text", outputs="text")
iface.launch()