app.py

import cv2
from matplotlib import pyplot as plt
import gradio as gr


def my_app(img):
    grayscale_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    flipped_image = cv2.flip(grayscale_image, 1)
    classifier = cv2.CascadeClassifier('classifier.xml')
    analysedData = classifier.detectMultiScale(flipped_image,
                                               minSize=(20, 20))
    if len(analysedData) != 0:
        return analysedData[0].x
        return ("S T O P !")
    else:
        return analysedData[0][1]


gr.interface.Interface(fn=my_app, live=True, inputs=gr.Image(
    source='webcam', streaming=True), outputs="text").launch()