Upload 3 files

app.py

@@ -5,7 +5,7 @@ import time
 
 model, tokenizer = load_model()
 
-st.title("Skills Extraction from Job post")
+st.title("Skills Extraction from Job descriptions with BERT")
 
 # Input text area for user to input description
 user_input = st.text_area("Enter the job description:", "")

pipeline.py

@@ -8,11 +8,19 @@ from transformers import BertTokenizer, BertForSequenceClassification
 import contractions
 import re 
 import nltk
+
+nltk.download('stopwords')
+nltk.download('wordnet')
+nltk.download('punkt')
+nltk.download('averaged_perceptron_tagger')
+
 from nltk.corpus import stopwords
 stop_words = set(stopwords.words('english'))
 from nltk.tokenize import word_tokenize
 
 
+
+
 # Load pre-trained BERT model and tokenizer
 # def load_model():
 #     model_name = "./bert_fine_tuned/bert_fine_tuned"