Update app.py

app.py

@@ -5,11 +5,11 @@ from transformers import pipeline
 from sentence_transformers import SentenceTransformer, util
 import sys 
 
-HISTORY_WEIGHT = 100 # set history weight (if found any keyword from history, it will priorities based on its weight)
+HISTORY_WEIGHT = 80 # set history weight (if found any keyword from history, it will priorities based on its weight)
 
 @st.cache(allow_output_mutation=True, suppress_st_warning=True)
 def get_model(model):
-	return pipeline("fill-mask", model=model, top_k=10)#s5t the maximum of tokens to be retrieved after each inference to model
+	return pipeline("fill-mask", model=model, top_k=5)#s5t the maximum of tokens to be retrieved after each inference to model
 
 def hash_func(inp):
     return True