Update app.py

app.py

@@ -1,7 +1,3 @@
-!pip install -U torch torchvision cython
-!pip install -U 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
-!pip install gradio
-
 import torch
 import torchvision
 from torchvision.transforms import functional as F
@@ -9,19 +5,13 @@ from PIL import Image
 import cv2
 import gradio as gr
 
-!git clone https://github.com/ultralytics/yolov5
-%cd yolov5
-!pip install -r requirements.txt
-
-import torch
 from yolov5.models.yolo import Model
+from yolov5.utils.general import non_max_suppression
 
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 model = torch.hub.load('ultralytics/yolov5', 'yolov5s', pretrained=True).to(device)
 model.eval()
 
-from yolov5.utils.general import non_max_suppression
-
 def preprocess_image(image):
     image_tensor = F.to_tensor(image)
     return image_tensor.unsqueeze(0).to(device)