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

# %% auto 0
__all__ = ['title', 'css', 'urls', 'flip_text', 'flip_image']

# %% telecom_object_detection.ipynb 2
import gradio as gr
from pathlib import Path

# %% telecom_object_detection.ipynb 4
title = """<h1 id="title">Telecom Object Detection with Azure Custom Vision</h1>"""

css = '''
h1#title {
  text-align: center;
}
'''

# %% telecom_object_detection.ipynb 5
import numpy as np
import gradio as gr

urls = ["https://c8.alamy.com/comp/J2AB4K/the-new-york-stock-exchange-on-the-wall-street-in-new-york-J2AB4K.jpg"]

def flip_text(): pass
def flip_image(): pass

with gr.Blocks(css=css) as demo:
    
    gr.Markdown(title)
    
    with gr.Tabs():
        with gr.TabItem("Image Upload"):
            with gr.Row():
                image_input = gr.Image()
                image_output = gr.Image()
            with gr.Row(): 
                """example_images = gr.Dataset(components=[img_input],
                    samples=[[path.as_posix()] for path in sorted(Path('images').rglob('*.jpg'))]
                )"""
                example_images = gr.Examples(
                    examples=[path.as_posix() for path in sorted(Path('images').rglob('*.jpg'))],
                    inputs=image_input
                )
                
                                             
            image_button = gr.Button("Detect")
        
        with gr.TabItem("Image URL"):
            with gr.Row():
                url_input = gr.Textbox(lines=2, label='Enter valid image URL here..')
                img_output_from_url = gr.Image(shape=(650,650))
                
            with gr.Row():
                example_url = gr.Dataset(components=[url_input], samples=[[str(url)] for url in urls])
            url_button = gr.Button("Detect")
            

    url_button.click(flip_text, inputs=url_input, outputs=img_output_from_url)
    image_button.click(flip_image, inputs=image_input, outputs=image_output)

demo.launch()