import gradio as gr
import cv2
import requests
import os
#pirahansiah/ComputerVision
from ultralytics import YOLO

file_urls = [
    'https://onedrive.live.com/embed?resid=CEE9ECC964C491B8%2123411&authkey=%21AFboK-sTQYxPuQo'    
]

def download_file(url, save_name):
    url = url
    if not os.path.exists(save_name):
        file = requests.get(url)
        open(save_name, 'wb').write(file.content)

for i, url in enumerate(file_urls):
    download_file(
        file_urls[i],
        f"image_{i}.png"
    )


path  = [['image_0.png']]


def show_preds_image(image_path):
    image = cv2.imread(image_path,0)    
    return image #cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

inputs_image = [
    gr.components.Image(type="filepath", label="Input Image"),
]
outputs_image = [
    gr.components.Image(type="numpy", label="Output Image"),
]
interface_image = gr.Interface(
    fn=show_preds_image,
    inputs=inputs_image,
    outputs=outputs_image,
    title="Computer Vision and Deep Learning by Farshid PirahanSiah",
    examples=path,
    cache_examples=False,
)

gr.TabbedInterface(
    [interface_image],
    tab_names=['Image Processing']
).queue().launch(share=True)