Update app.py

app.py

@@ -3,9 +3,13 @@ import pandas as pd
 import torch
 import torch.nn as nn
 import torch.optim as optim
-from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
+import torch.nn.functional as F
 from torch.utils.data import Dataset, DataLoader
+from transformers import DistilBertTokenizer, DistilBertForSequenceClassification
 from sklearn.model_selection import train_test_split
+from sklearn.metrics import classification_report
+from transformers import BertTokenizer
+
 
 # Load dataset
 file_path = 'spam_ham_dataset.csv'
@@ -103,10 +107,7 @@ with torch.no_grad():
 accuracy = correct / total
 print(f"Validation Accuracy: {accuracy:.4f}")
 
-from sklearn.metrics import classification_report
-from transformers import BertTokenizer
-import torch
-import torch.nn.functional as F
+
 
 # Classification function
 def classify_email(email_text):