Update app.py

app.py

@@ -13,7 +13,9 @@ import pdfminer
 from pdfminer.high_level import extract_text
 
 len_doc = 500
-overlap = 30 
+overlap = 15 
+param_top_k_retriver = 15
+param_top_k_ranker = 3
 
 qa_model = pipeline("question-answering", 
                     #model = "deepset/minilm-uncased-squad2")
@@ -86,7 +88,7 @@ def final_qa_pipeline(file, query):
     
     bm25 = BM25Okapi(tokenized_corpus)
     
-    top_k_retriver, top_k_ranker = 20,3
+    top_k_retriver, top_k_ranker = param_top_k_retriver, param_top_k_ranker
     lvl1 = retrieval(query, top_k_retriver, docs, bm25)
 
     if len(lvl1) > 0: