Update app.py

app.py

@@ -120,10 +120,10 @@ def answer_question(question):
     
     # Compute cosine similarity with stored embeddings
     cos_scores = util.cos_sim(question_embedding, embeddings)[0]
-    top_k = min(1, len(corpus))  # Get top 3 paragraphs to improve accuracy
+    top_k = min(1, len(corpus))  # Get top paragraph to improve accuracy
     top_indices = np.argsort(-cos_scores)[:top_k]
     
-    # Retrieve context (top 3 paragraphs)
+    # Retrieve context (top paragraph)
     contexts = [corpus[i] for i in top_indices]
     context = " ".join(contexts)  # Concatenate with space
     sources = [sources_list[i] for i in top_indices]