import gradio as gr
from fastai.vision.all import *
from fastdownload import download_url
from PIL import Image
import requests
from io import StringIO





def greet(url):
    # dest_file = 'hot_dog.jpg'
    # download_url(url, dest_file, show_progress=False)
    # image = PILImage.create(dest_file)
    response = requests.get(url)
    image = Image.open(StringIO(response.content))
    predicted_category, _, probs = learn.predict(image)
    # return "Hello " + name + "!!"
    return predicted_category

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