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

learn = load_learner('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))
  }

gr.Interface(
    title="Late Night Host Classifier",
    description="Upload a photo of Jimmy Kimmel, Jimmy Fallon or Conan O'Brien",
    fn=predict,
    inputs=gr.Image(),
    outputs=gr.Label(num_top_classes=3),
    # examples=[],
    # enable_queue=True,
).launch(
    # share=True,
    # debug=True
)


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

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