adjusted K-params

app.py

@@ -379,12 +379,16 @@ class BSIChatbot:
             #newprint(type(retrieved_chunks_text))
             #new print(retrieved_chunks_text)
             with torch.no_grad():
-                print("reranking chunks..")
+                print("reranking chunks (reverse)..")
                 retrieved_chunks_text = rerankingModel.rerank(query, retrieved_chunks_text, k=20)
             #newprint("DBG:retrieved_chunks_text after rerank")
             #newprint(type(retrieved_chunks_text))
             #newprint(retrieved_chunks_text)
-            retrieved_chunks_text = [chunk["content"] for chunk in retrieved_chunks_text]
+            for chunk in reversed(retrieved_chunks_text):
+                print(chunk.rank)
+            retrieved_chunks_text = [chunk["content"] for chunk in reversed(retrieved_chunks_text)]
+
+            #retrieved_chunks_text = [chunk["content"] for chunk in retrieved_chunks_text]
 
             i = 1
             for chunk in retrieved_chunks_text: