Logic Visualizer

Chainlit Chatbot Agent Name Input

This code snippet demonstrates creating a chatbot interface using Chainlit that prompts users for an agent name at the start of the chat, employing asynchronous functions to enhance user interaction.


Empty image or helper icon

Prompt

import chainlit as cl
from chainlit.input_widget import TextInput


@cl.on_chat_start
async def start():
    settings = await cl.ChatSettings(
        [
            TextInput(id="AgentName", label="Agent Name", initial="AI"),
        ]
    ).send()
    value = settings["AgentName"]

Answer

Code Logic Visualization

Overview

This code snippet utilizes the Chainlit framework to create a chatbot interface that prompts the user to input an agent name when the chat starts.

Key Components

  1. Imports:

    • chainlit as cl: Imports Chainlit for building chat applications.
    • from chainlit.input_widget import TextInput: Imports the TextInput widget for user inputs.
  2. Function:

    • start: An asynchronous function that initializes chat settings when the chat begins.

Flowchart Representation

+--------------------------------------------------+
|                     Start Chat                    |
+--------------------------------------------------+
                    |
                    |
                    V
+--------------------------------------------------+
|            Call ChatSettings with input          |
|            - TextInput for "Agent Name"          |
|            - Initial value: "AI"                  |
+--------------------------------------------------+
                    |
                    |
                    V
+--------------------------------------------------+
|          Await settings response from user       |
+--------------------------------------------------+
                    |
                    |
                    V
+--------------------------------------------------+
|         Retrieve value of Agent Name              |
|         from settings:                             |
|         value = settings["AgentName"]             |
+--------------------------------------------------+
                    |
                    |
                    V
+--------------------------------------------------+
|                End of function                   |
+--------------------------------------------------+

Detailed Pseudocode Representation

Import chainlit as cl
Import TextInput from chainlit.input_widget

Function start()  // Asynchronous chat start function
    settings = await ChatSettings(                    // Create chat settings
        [
            TextInput(id="AgentName", label="Agent Name", initial="AI") // Input for agent name
        ]
    ).send()  // Wait for user to input and send settings

    value = settings["AgentName"]  // Extract the value of the agent name from settings
End Function

Annotations

  1. Imports:

    • chainlit: Library to simplify chatbot development.
    • TextInput: A widget for getting text input from users.
  2. Function start:

    • Async: Indicates that the function can pause execution for awaiting user inputs, enabling smooth user interaction without blocking.
    • ChatSettings: A component that facilitates creating and managing chat settings.
    • TextInput usage: It allows users to set the "Agent Name" with a default value of "AI".
  3. Awaiting settings:

    • The use of await indicates that the function will yield control until the user enters information, creating a responsive UI.
  4. Retrieving value:

    • The agent name is retrieved from the settings and stored in the variable value for further processing.

This representation should aid in understanding the logic and structure of the given code snippet, bridging the gap between code and its underlying operations. For further learning on advanced data science and coding practices, consider exploring resources on the Enterprise DNA platform.

Create your Thread using our flexible tools, share it with friends and colleagues.

Your current query will become the main foundation for the thread, which you can expand with other tools presented on our platform. We will help you choose tools so that your thread is structured and logically built.

Description

This code snippet demonstrates creating a chatbot interface using Chainlit that prompts users for an agent name at the start of the chat, employing asynchronous functions to enhance user interaction.