Update app.py

app.py

@@ -34,7 +34,7 @@ embeddings = OpenAIEmbeddings(openai_api_key = OPENAI_API)
 
 index = pinecone.Index(index_name)
 
-k = 5
+k = 35
 
 st.title("USC GPT - Find the perfect class")
 
@@ -66,6 +66,7 @@ def get_rag_results(prompt):
 3. Rerank the results from vector DB using a BERT-based cross encoder
     '''
     query = filter_agent(prompt, OPENAI_API)
+    print("Here is the response from the filter_agent", query)
 
   ##Get metadata filters  
     days_filter = list()
@@ -90,7 +91,7 @@ def get_rag_results(prompt):
   ## Query the pinecone database
     response = index.query(
         vector = embeddings.embed_query(query),
-        top_k = 45,
+        top_k = k,
         filter = query_filter,
         include_metadata = True
     )