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Hi <@334536717648265216> , . So my question is can we use chat_repl() function in strea

Hi @Logan M , @kapa.ai .

So my question is can we use chat_repl() function in streamlit () to get the assistance response into my answer what the user has asked a question ...

Code :-
chat_engine = index.as_chat_engine(chat_mode="best" , verbose = True )
chat_engine.chat_repl()
main reason for using chat_repl() function is when we ask a previous question in the chat it would generate the previous question,

I am unable to generated the previous question asked by the user when I am using this code ?
Code ;-
chat_engine = index.as_chat_engine(chat_mode="best" , verbose = True )
input = " Question asked by the user ."
response = chat_engine.chat(input)

Need your assistance ..
k
p
L
12 comments
Please stand by @pavan._01 as I search the knowledge base. I normally take about 20 seconds or so. :wave:
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The chat_repl() function is designed to be an interactive chat Read-Eval-Print Loop (REPL) that allows you to have a conversation with the chat engine. It's designed to be used in a console or terminal environment where it can take input from the user, generate a response, and then wait for the next user input. This function maintains the context of the conversation, which allows it to refer back to previous questions or statements.

However, when you use the chat() function, it processes a single message and returns a response. If you want to maintain the context of the conversation, you need to ensure that you're using the same instance of the chat engine for each message and not resetting or recreating the chat engine between messages.

Here's an example of how you might use the chat() function in a conversation:

Plain Text
chat_engine = index.as_chat_engine(chat_mode="best" , verbose = True )
response1 = chat_engine.chat("Question 1 asked by the user.")
response2 = chat_engine.chat("Question 2 asked by the user.")


In this example, the chat engine should maintain the context between response1 and response2, allowing it to refer back to "Question 1" when processing "Question 2".

If you want to start a new conversation, you can use the reset() function:

Plain Text
chat_engine.reset()
response = chat_engine.chat("Start of a new conversation.")


In this case, the chat engine won't have any context from before the reset() call.

Please note that the chat_repl() function is not designed to be used in a web application like Streamlit. It's designed for console or terminal use and it uses the input() function to read input from the user, which won't work in a web application. In a web application, you would typically use the chat() function to process individual messages from the user.
For more information, you can refer to the LlamaIndex documentation () and examples ().
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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Could you share some documents or link about this chat_repl() function , How is it running ?
How it store the previous question generated by the user ?
Let me check the knowledge base for you. One moment! :books:
Sorry @pavan._01, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist:

Perhaps try again in 15mins?
Could you share some documents or link about this chat_repl() function , How is it running ?
How it store the previous question generated by the user ?
Let me check the knowledge base for you. One moment! :books:
Sorry @pavan._01, I seem to be having a bit of trouble. Don't worry though, I've pinged my support and they will try to fix me up! :technologist:

Perhaps try again in 15mins?
You can use chat_repl in streamlit, its only meant for quick debugging in a terminal

You can just run agent.chat() in a loop
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