# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.

# %% auto 0
__all__ = ['interpretation', 'enable_queue', 'title', 'description', 'learners', 'models', 'active_name', 'active_model',
           'example_images', 'demo', 'classify_image', 'select_model', 'update_matrix', 'update_losses']

# %% app.ipynb 1
from fastai.vision.all import *
import gradio as gr

interpretation='default'
enable_queue=True

title = "FastAI - Big Cats Classifier"
description = "Classify big cats using all Resnet models available pre-trained in FastAI"

# %% app.ipynb 2
learners = {
    "resnet-18" : 'models/resnet18-model.pkl',
    "resnet-34" : 'models/resnet34-model.pkl',
    "resnet-50" : 'models/resnet50-model.pkl',
    "resnet-101": 'models/resnet101-model.pkl',
    "resnet-152": 'models/resnet152-model.pkl'
}
models = list(learners.keys())

active_name  = "resnet-18"
active_model = learners[active_name]


# %% app.ipynb 3
def classify_image(img):
    learn = load_learner(active_model)
    pred,idx,probs = learn.predict(img)
    return dict(zip(learn.dls.vocab, map(float, probs)))

def select_model(model_name):
    if model_name not in models:
        model_name = "resnet-18"
    active_name = model_name
    active_model = learners[active_name]
    return model_name.upper()

def update_matrix():
    return "models/" + active_name.replace('-','',1) + "-confusion-matrix.png"
    
def update_losses():
    return "models/" + active_name.replace('-','',1) + "-top-losses.png"
    

# %% app.ipynb 5
example_images = [ 'cheetah.jpg', 'jaguar.jpg', 'tiger.jpg', 'cougar.jpg', 'lion.jpg', 'african leopard.jpg', 'clouded leopard.jpg', 'snow leopard.jpg', 'hidden.png', 'hidden2.png' ]

demo = gr.Blocks()
with demo:
    with gr.Column(variant="panel"):
        image = gr.inputs.Image(label="Pick an image")
        model = gr.inputs.Dropdown(label="Select a model", choices=models)
        with gr.Row(equal_height=True):
            btnClassify = gr.Button("Classify")
            btnClear = gr.Button("Clear")
    with gr.Column(variant="panel"):
        selected = gr.outputs.Textbox(label="Active Model")
        with gr.Row(equal_height=True):
            matrix=gr.outputs.Image(type='filepath', label="Confusion Matrix")
            losses=gr.outputs.Image(type='filepath', label="Top Losses")
        result = gr.outputs.Label(label="Result")
        
    img_gallery = gr.Examples(examples=example_images, inputs=image)

    # Register all event listeners
    model.change(fn=select_model, inputs=model, outputs=selected)
    model.change(fn=update_matrix, outputs=matrix)
    model.change(fn=update_losses, outputs=losses)
    btnClassify.click(fn=classify_image, inputs=image, outputs=result)
    btnClear.click(fn=lambda: gr.Image.update(value=None), inputs=None, outputs=None)

demo.launch(debug=True, inline=False)
    # intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example_images, title=title, description=description )
    # if __name__ == "__main__":
    #     intf.launch(debug=True, inline=False)