import gradio as gr
import cv2

from pyAAMED import pyAAMED

title = """
<h1>Arc Adjacency Matrix based Fast Ellipse Detection</h1>
<a href="https://github.com/Li-Zhaoxi/AAMED">Gitub</a>
"""

def detect_ellipses(img_path):
    imgC = cv2.imread(img_path)
    imgG = cv2.cvtColor(imgC, cv2.COLOR_BGR2GRAY)

    aamed = pyAAMED(600, 600)

    aamed.setParameters(3.1415926/3, 3.4, 0.77)
    result = aamed.run_AAMED(imgG)
    print(result)

    return [img_path, result]

examples = [
    ["./AAMED/python/002_0038.jpg"]
]

gr.Interface(
    fn=detect_ellipses,
    inputs=gr.Image(label="Upload image with ellipses", type="filepath"),
    outputs=[
        gr.Image(type="filepath", label="Detected ellipses"),
        gr.Text(label="Detected data")
    ]
    title=title,
    examples=examples,
    allow_flagging='never'
).launch(server_name="0.0.0.0", server_port=7860)