app.py

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

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

learn = load_learner('model/model_files/bball_model.pkl')
labels = learn.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

demo = gr.Interface(fn=predict, inputs="image", outputs="text")
# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
    
demo.launch()