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

learn = load_learner("model1.pkl")

categories = ('Simmental','Holstein',"Hereford","Angus","Charolais","Limousin","Jersey","Brown Swiss")

def classify_img(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

with gr.Blocks(title = "ineğin türü nedir? ") as demo:
    with gr.Row():
        gr.Markdown("""
                     ## inek türü  Tespiti
                     #### Bilgisayarınızdan yada telefonunuzdan resim yükleyin
                     #### Denemek amaçlı örneklere çift tıklayın ve Tahmin Et tuşuna basın
                     """)
    with gr.Row():
        image = gr.inputs.Image(shape=(192,192))   
    with gr.Row():
        output = gr.outputs.Label()      
    with gr.Row():
        image_button = gr.Button("Tahmin Et")
        image_button.click(classify_img, inputs=image, outputs=output)
    
    with gr.Row():
        with gr.Column():
            gr.Examples(inputs=image,examples=["1.jpg"],label="angus")
        with gr.Column():
            gr.Examples(inputs=image,examples=["2.jpg"],label="jersey")
        with gr.Column():
            gr.Examples(inputs=image,examples=["3.jpg"],label="simmental")
    
demo.launch()