Modify

app.py

@@ -185,7 +185,9 @@ def make_gen(QA, candidates, top_k, character_type):
                                               batch_size=1,
                                               max_length=8192,
                                               )
-    
+    print("⭐️")
+    print(type(candidates))
+    print(type(candidates[0]))
     key_embeddings = embedding_model.encode(candidates)["dense_vecs"]
 
     similarity = query_embeddings @ key_embeddings.T
@@ -245,8 +247,6 @@ async def root_endpoint(request: Request):
     candidates = data.get("candidates")
     top_k = data.get("top_k")
     character_type = data.get("character_type")
-    print(QA)
-    print(candidates)
     return StreamingResponse(gen_stream(QA, candidates, top_k, character_type), media_type="text/event-stream")