Update app.py

app.py

@@ -1,15 +1,36 @@
-import os
-os.system("pip install 'git+https://github.com/facebookresearch/detectron2.git'")
-
+from PIL import Image
+import sys, os, distutils.core
+sys.path.insert(0, os.path.abspath('./detectron2'))
 import gradio as gr
-import torch
+import torch, detectron2
+import pandas as pd
+from detectron2.utils.logger import setup_logger
+setup_logger()
 import numpy as np
-from PIL import Image
+# import os, json, cv2, random
+from detectron2 import model_zoo
 from detectron2.engine import DefaultPredictor
 from detectron2.config import get_cfg
-from detectron2 import model_zoo
-from detectron2.utils.visualizer import Visualizer, ColorMode
-from detectron2.data import MetadataCatalog
+# from detectron2.utils.visualizer import Visualizer
+# from detectron2.data import MetadataCatalog, DatasetCatalog
+import numpy
+# import torch.optim as optim
+import torch.nn as nn
+# from tqdm.notebook import tqdm, trange
+from torchvision import transforms,models #, datasets
+SEED = 1234
+
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+num_classes = 15
+criterion = nn.CrossEntropyLoss()
+
+
+model = models.resnet152(pretrained=True)
+for param in model.parameters():
+  param.require_grad = False
+num_ftrs = model.fc.in_features
+model.fc = nn.Linear(num_ftrs, num_classes)
+model = model.to(device)