Fix: file path

yolov5.py

@@ -1,6 +1,7 @@
 
 import torch
 import cv2
+import os
 import warnings
 warnings.filterwarnings('ignore')
 import numpy as np
@@ -118,7 +119,7 @@ def get_image_from_url(url, device):
     and returns a numpy image and a preprocessed
     torch tensor ready to pass to the model"""
 
-    img = np.array(Image.open("/home/drovco/Bhumika/NeuralVista/data/xai/sample1.jpeg"))
+    img = np.array(Image.open(os.path.join(os.getcwd(), "data/xai/sample1.jpeg")))
     img = cv2.resize(img, (640, 640))
     rgb_img_float = np.float32(img) /255.0
     input_tensor = torch.from_numpy(rgb_img_float).permute(2, 0, 1).unsqueeze(0).to(device)