app.py

import gradio as gr
from fastai.vision.all import *
from duckduckgo_search import ddg_images
from pathlib import Path

examples = [i for i in Path("./examples").glob("*")]
categories = ["great white", "lemon", "thresher", "whale", "zebra"]


learner = load_learner("shark_recognizer.pkl")
def recognize_shark(img):
    pred, idx, probs = learner.predict(img)

    return dict(zip(categories, map(float, probs)))
    
image = gr.inputs.Image()
label = gr.outputs.Label()
iface = gr.Interface(fn=recognize_shark, inputs=image, outputs=label, examples = examples)
iface.launch()