Update app.py

app.py

@@ -151,23 +151,3 @@ if __name__ == "__main__":
     main()
 
 
-
-# import tensorflow as tf
-import cv2
-import numpy as np
-# from glob import glob
-# from models import Yolov4
-import gradio as gr
-# model = Yolov4(weight_path="yolov4.weights", class_name_path='coco_classes.txt')
-def gradio_wrapper(img):
-    global model
-    #print(np.shape(img))
-    # results = model.predict(img)
-    # return results[0]
-    demo = gr.Interface(
-    gradio_wrapper,
-    #gr.Image(source="webcam", streaming=True, flip=True),
-    gr.Image(source="webcam", streaming=True),
-    "image",
-    live=True)
-    demo.launch()