Update app.py

app.py

@@ -42,14 +42,14 @@ def respond(
     print(datetime.now())
     print(system_message)
     
-#    retriever = vector_db.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": score})
-    retriever = vector_db.as_retriever(search_type="mmr")
+    retriever = vector_db.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": score, "k": 10})
+#    retriever = vector_db.as_retriever(search_type="mmr")
     documents = retriever.invoke(message)
 
     spacer = " \n"
     context = ""
 
-    print(message)
+    #print(message)
     print(len(documents))
 
     for doc in documents:
@@ -63,8 +63,8 @@ def respond(
         context += "# Case text: " + doc.page_content + spacer
         #context += "Case text: " + case_text[:8000] + spacer
 
-        print("# Case number: " + doc.metadata["case_nb"] + spacer)
-        print("# Case url: " + doc.metadata["case_url"] + spacer)
+        #print("# Case number: " + doc.metadata["case_nb"] + spacer)
+        #print("# Case url: " + doc.metadata["case_url"] + spacer)
     
     
     message = f"""
@@ -80,6 +80,8 @@ Otherwise, if relevant cases were found, start by summarizing these cases in the
 # Instructions:
 Always answer the user using the language used in his question: {message}
     """
+
+    print(message)
     
 #    for val in history:
 #        if val[0]: