Update app.py

app.py

@@ -50,7 +50,7 @@ embeddings = HuggingFaceEmbeddings(model_name="all-MiniLM-L6-v2",
 foo = Document(page_content='foo is fou!',metadata={"source":'foo source'})
 
 @spaces.GPU
-def similarity_search(db,query, k=5):
+def similarity_search(db,query, k=4):
     return db.similarity_search(query, k)
 
 @spaces.GPU
@@ -322,7 +322,7 @@ def ask_gpt(query, ui_session_id, history):
       print(f"SESSION: {session_id} database does not exist")
       return f"SESSION: {session_id} database does not exist","",""
 
-    docs = similarity_search(db,query, k=5)
+    docs = similarity_search(db,query, k=4)
 
     documents = "\n\n*-*-*-*-*-*\n\n".join(f"Content: {doc.page_content}\n" for doc in docs)
     system = f"# Instructions\nTake a deep breath and resonate step by step.\nYou are a helpful standard assistant. Your have only one mission and that consists in answering to the user input based on the **provided documents**. If the answer to the question that is asked by the user isn't contained in the **provided documents**, say so but **don't make up an answer**. I chose you because you can say 'I don't know' so please don't do like the other LLMs and don't define acronyms that aren\'t present in the following **PROVIDED DOCUMENTS** double check if it is present before answering. If some of the information can be useful for the user you can tell him.\nFinish your response by **ONE** follow up question that the provided documents could answer.\n\nThe documents are separated by the string \'*-*-*-*-*-*\'. Do not provide any explanations or details.\n\n# **Provided documents**: {documents}."