app.py

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

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

#learn = load_learner("model.pkl")

categories = ('Make Noise Maths', 'Make Noise Mimeophon')

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

image = gr.Image(type="pil")
label = gr.Label()
examples = [
    "images/make-noise-maths.jpg",
    "images/make-noise-mimeophon.jpg"
    ]


#default gradio shizzle below

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

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