Update app.py

app.py

@@ -31,7 +31,7 @@ EMBEDDING_MODEL = os.environ.get("EMBEDDING_MODEL", "hkunlp/instructor-large")
 EMBEDDING_LOADER = HuggingFaceInstructEmbeddings
 
 # return top-k text chunks from vector store
-TOP_K_DEFAULT = 7
+TOP_K_DEFAULT = 10
 TOP_K_MAX = 30
 SCORE_DEFAULT = 0.3
 
@@ -122,15 +122,17 @@ Chat History:
 Question:
 {question}
 
+Answer:"""
+)
+
+'''
 Optinal:
-Expand clause/figure name with corresponding metadata TS name in the answer.
+Expand each clause/figure name in the answer with corresponding metadata file name.
 
 Desired format:
 Clause/figure name: <dot_separated_numbers>
-TS name: ^[\w\.]$
-
-Answer:"""
-)
+File name: *.*
+'''
 
 PROMPT_BASE = PromptTemplate(
     input_variables=['question', "chat_history"],