Update app.py

app.py

@@ -50,7 +50,7 @@ def format_docs(docs):
 
 #search_kwargs={"score_threshold": 0.3}
 #search_type="similarity_score_threshold"
-retriever = vectorstore.as_retriever()
+retriever = vectorstore.as_retriever(k = 4)
 
 prompt = hub.pull("rlm/rag-prompt")
 llm = HuggingFaceEndpoint(repo_id="mistralai/Mistral-7B-Instruct-v0.3", stop_sequences=["Human:"])
@@ -139,7 +139,7 @@ async def echo(websocket):
             return
         if not "token" in message:
             return
-        m = data["message"] + "\nAssistant: "
+        m = data["message"] + "\n\nAssistant: "
         token = data["token"]
         docs = retriever.get_relevant_documents(m)
         rawresponse = conversational_rag_chain.invoke(