Update app.py

app.py

@@ -4,15 +4,12 @@ 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),