Update app.py

app.py

@@ -42,9 +42,12 @@ def match_jd(jd_text):
         jd_vector = get_embeddings([jd_text])[0]
         top_k_indices = search_similar_cvs(jd_vector, faiss_index, k=3)
 
-        # Get readable file names and snippets of CVs
+        import os
         matched_names = [os.path.basename(cv_names[i]) for i in top_k_indices]
-        matched_texts = [cv_texts[i][:500] for i in top_k_indices]  # limit for Groq prompt
+        matched_texts = [
+            cv_texts[i][:500] if cv_texts[i].strip() else "[No CV content]"
+            for i in top_k_indices
+        ]
 
         summary = summarize_match(jd_text, matched_names, matched_texts)
         return f"✅ Top Matches:\n{matched_names}\n\n📝 Summary:\n{summary}"