Update cal_sim.py

cal_sim.py

@@ -2,9 +2,11 @@ from sentence_transformers import util
 
 def compute_similarity(resume_embeds, jd_embeds):
     expected_sections = ["Experience & Achievements", "Skills & Competencies", "Culture Fit", "Personal Traits", "Education"]
-
+    
     similarity_scores = {}
 
+    print(len(resume_embeds))
+    print(len(jd_embeds))
     for section in expected_sections:
         if section in resume_embeds and section in jd_embeds:
             similarity_scores[section] = float(util.cos_sim(resume_embeds[section], jd_embeds[section]))