Update app.py

app.py

@@ -1,11 +1,3 @@
-!wget --no-check-certificate 'https://docs.google.com/uc?export=download&id=12reT7rxiRqTERYqeKYx7WGz5deMXjnEo' -O filetxt
-!unzip filetxt
-
-from roboflow import Roboflow
-rf = Roboflow(api_key="kGIFR6wPmDow2dHnoXoi")
-project = rf.workspace("capstone-design-oyzc3").project("dataset-train-test")
-dataset = project.version(1).download("folder")
-
 import os
 import torch
 import evaluate
@@ -15,7 +7,7 @@ import glob as glob
 import torch.optim as optim
 import matplotlib.pyplot as plt
 import torchvision.transforms as transforms
-
+import subprocess
 
 from PIL import Image
 from zipfile import ZipFile
@@ -31,6 +23,16 @@ from transformers import (
     default_data_collator
     AutoModel
 )
+from roboflow import Roboflow
+rf = Roboflow(api_key="kGIFR6wPmDow2dHnoXoi")
+project = rf.workspace("capstone-design-oyzc3").project("dataset-train-test")
+dataset = project.version(1).download("folder")
+
+#!wget --no-check-certificate 'https://docs.google.com/uc?export=download&id=12reT7rxiRqTERYqeKYx7WGz5deMXjnEo' -O filetxt
+
+# Use subprocess to execute the wget command
+subprocess.run(['wget', '--no-check-certificate', 'https://docs.google.com/uc?export=download&id=12reT7rxiRqTERYqeKYx7WGz5deMXjnEo', '-O', 'filetxt'])
+!unzip filetxt
 
 def seed_everything(seed_value):
     np.random.seed(seed_value)