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

class Phase(Enum):
    FIRST_QUARTER = "First Quarter"
    FULL_MOON = "Full Moon"
    NEW_MOON = "New Moon"
    THIRD_QUARTER = "Thrid Quarter"
    WANING_CRESCENT = "Waning Crescent"
    WANING_GIBBOUS = "Waning Gibbous"
    WAXING_CRESCENT = "Waxing Crescent"
    WAXING_GIBBOUS = "Waxing Gibbous"

#import model
learn = load_learner('moon_v1.pkl')

#create gradio interface
def classify_image(image):
    pred, idx, probs = learn.predict(image)
    return dict(zip(Phase._value2member_map_, map(float, probs)))

#define the inputs and ouputs for the gradio interface
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['moon1.jpg', 'moon2.jpg', 'moon3.jpg']

#What function do you call to get the output
intf = gr.Interface(fn=classify_image, inputs= image, outputs=label, examples=examples)
intf.launch(inline=False)