import gradio as gr
from threshold_methods import threshold_methods
import cv2

new_outputs = [
gr.outputs.Image(type="numpy", label="Output Image") 
]
def show_image():
    img = cv2.imread('huggingface.png')    
    return img

HuggingFace = gr.Interface(
    fn=show_image,
    live=True,
    inputs=[],
    outputs=new_outputs,       
    hide_controls=True,
    hide_inputs=True,
    show_submit_buttom=False,
    show_clear=False,
    show_generate=False,
    allow_flagging=False,
    title="https://huggingface.co/spaces/pirahansiah/ComputerVision",
)

gr.TabbedInterface(
    [HuggingFace,threshold_methods],
    tab_names=['HuggingFace','Thresholding Image Segmentation']
).queue().launch()