increase top_k

app.py

@@ -10,6 +10,7 @@ INDEX_NAME = 'realvest-data-v2'
 EMBEDDING_MODEL = "text-embedding-ada-002"  # OpenAI's best embeddings as of Apr 2023
 MAX_LENGTH_DESC = 200
 MATCH_SCORE_THR = 0.0
+TOP_K = 20
 
 def test_pinecone(sleep_time: int=1):
     MAX_TRIALS = 5
@@ -99,7 +100,7 @@ if st.button('Submit'):
     # ### call OpenAI text-embedding
     res = openai.Embedding.create(model=EMBEDDING_MODEL, input=[query], api_key=OPENAI_API_KEY)
     xq = res['data'][0]['embedding']
-    out = query_pinecone(xq, top_k=3, include_metadata=True)
+    out = query_pinecone(xq, top_k=TOP_K, include_metadata=True)
 
     ### candidates
     metadata = {match['metadata']['product_id']: match['metadata'] for match in out['matches']}