Update app.py

app.py

@@ -91,4 +91,15 @@ def main():
             query_embedding = model.encode([query], convert_to_numpy=True)
 
             # Perform similarity search using FAISS
-            st.write("Searching.
+            st.write("Searching...")
+            start_time = time.time()
+            D, I = index.search(query_embedding, k=5)
+            end_time = time.time()
+
+            # Display the results
+            st.write(f"Query processed in {end_time - start_time:.2f} seconds.")
+            for i in range(len(I[0])):
+                st.write(f"Match {i + 1}: {text_chunks[I[0][i]]} (Distance: {D[0][i]:.4f})")
+
+if __name__ == "__main__":
+    main()