app.py

# import gradio as gr

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

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

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

learn = load_learner("topmountainsmodel.pkl")

def predict(img):
    img = PILImage.create(img)
    mt_type,_,probs = learn.predict(img)
    message = (f"Probability that this mountain is: {mt_type} is {probs[0]:.4f}")
    return message

iface = gr.Interface(fn=predict, inputs="image", outputs="label")
iface.launch()