Update app.py

app.py

@@ -7,12 +7,14 @@ from transformers import BertTokenizer
 from sklearn.preprocessing import LabelEncoder, StandardScaler
 from nltk.sentiment.vader import SentimentIntensityAnalyzer
 import nltk
+from transformers import TFBertModel
+bert_model = TFBertModel.from_pretrained('bert-base-uncased')
 
 # Download VADER lexicon for sentiment analysis
 nltk.download('vader_lexicon')
 
 # Load the model from Hugging Face
-model_path = hf_hub_download(repo_id="xeroISB/ServiceNowMTTR", filename="my_model.h5")
+model_path = hf_hub_download(repo_id="xeroISB/ServiceNowMTTR", filename="newIncidentModel.h5")
 model = load_model(model_path)
 
 # Initialize BERT tokenizer