Added tqdm for better progress tracking

Classifier/BagOfWords.py

@@ -5,6 +5,7 @@ import subprocess
 
 from joblib import dump
 from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
+from tqdm import tqdm
 
 
 class BagOfWords:
@@ -21,8 +22,10 @@ class BagOfWords:
     def create_bag_of_words():
         all_words = open("words.c", "w+")
 
-        for path in glob.glob("Training/vccs/**/*.json", recursive=True) + glob.glob(
-            "Training/unclassified/**/*.json", recursive=True
+        for path in tqdm(
+            glob.glob("Training/vccs/**/*.json", recursive=True)
+            + glob.glob("Training/unclassified/**/*.json", recursive=True),
+            desc="Creating bag of words",
         ):
             with open(path, "r+") as json_file:
                 raw_data = json.load(json_file)