--- a
+++ b/extractiveSummarization/scripts/bert_summaries.py
@@ -0,0 +1,56 @@
+import sys, os
+import glob
+import shutil
+from pathlib import Path
+import time
+import argparse
+
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+# print(sys.path)
+
+from summarizer import Summarizer
+
+parser = argparse.ArgumentParser()
+
+parser.add_argument('--source', action='store', metavar='dir_path', type=str, help='directory path containing source', required=True)
+parser.add_argument('--saveto', action='store', metavar='dir_path', type=str, help='directory path to store produced summaries', required=True)
+parser.add_argument('--threshold', action='store', type=float, help="default 0.03")
+parser.add_argument('--ratio', action='store', type=int, help='ratio of summary size to source size (based on number of sentences). default 0.05')
+parser.add_argument('--n', action='store', metavar='ndocs', type=int, help='number of documents to produce summaries of. default 2.')
+
+args = parser.parse_args()
+
+source_dir = args.source
+saveto_dir = args.saveto
+ratio = args.ratio or 0.05
+ndocs = args.n or 2
+
+if not os.path.isdir(source_dir):
+    print('The source directory specified does not exist')
+    sys.exit()
+
+if not os.path.isdir(saveto_dir):
+    print('The saveto directory specified does not exist')
+    sys.exit()
+
+start=time.time()
+documents = {}
+model = Summarizer() 
+
+for i, filepath in enumerate(glob.glob(os.path.join(source_dir, '*.src'))):
+	with open(filepath) as fp:
+		fname = Path(filepath).stem
+		documents[fname] = fp.read()
+	summary = model(documents[fname], ratio=ratio)
+	
+	joined_summary = ''.join(summary).replace('\n', '')
+	summary_path = os.path.join(saveto_dir, fname + ".sum")
+	with open(summary_path, 'w') as sum:
+		sum.write(joined_summary)
+	if i == ndocs - 1:
+		break
+end = time.time()
+print("----Bert summary----")
+# print(saveto_dir)
+print("Num docs: " + str(ndocs) + " sentence ratio: " + str(ratio))
+print("Runtime " + str(end - start))