__all__ = ['install', 'learn', 'categories', 'classify_image', 'image', 'label', 'examples', 'intf']



# Kept getting "No module named 'fastai'" from huggingface..workaround:
# https://stackoverflow.com/a/50255019
import subprocess
import sys

def install(package):
    subprocess.check_call([sys.executable, "-m", "pip", "install", package])

install("fastai")



from fastai.vision.all import *
#from fast.ai.vision.all import *
import gradio as gr

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

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




# from:
#  https://course.fast.ai/Lessons/lesson2.html
#  https://github.com/fastai/fastbook/blob/master/02_production.ipynb


#learn_inf = load_learner(path/'export.pkl')
#learn_inf.predict('images/grizzly.jpg')
#learn_inf.dls.vocab


# model created from: https://www.kaggle.com/code/zachwormgoor/stock-photo-recognizer
learn = load_learner('model.pkl')

categories = ('amateur', 'stock')

#may have categories swapped?
#add probs to UI somewhere

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))
    
    
image = gr.inputs.Image(shape=(192, 192))
label = gr.outputs.Label()
examples = ['stock.jpg', 'stock-easy.jpg', 'stock-easy2.jpg', 'amateur.jpg', 'amateur-easy.jpg', 'amateur-easy2.jpg', 'unsure.jpg']
# stock: https://image.shutterstock.com/image-photo/industrial-interior-storage-tank-rusty-260nw-132762554.jpg
# amateur: https://cimg3.ibsrv.net/cimg/www.honda-tech.com/1024x768_85/479/AAApril-2-Control-Arms-01-58479.jpg
# unsure: https://en.wikipedia.org/wiki/Joshua_Bean


intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
intf.launch(inline=False)