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The Langflow Embedded Chat is a powerful web component that enables seamless communication with the Langflow

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Langflow Embedded Chat ⛓️

Welcome to the Langflow Embedded Chat repository! 🎉

The Langflow Embedded Chat is a powerful web component that enables seamless communication with the Langflow ⛓️. This widget provides a chat interface, allowing you to integrate Langflow ⛓️ into your web applications effortlessly.

MIT License

What is Langflow?

Langflow is a no-code open-source project that empowers developers to build cutting-edge applications using Language Model technologies. With Langflow, you can leverage the power of LLMs (Large Language Models) to enhance user interactions, generate human-like text, and gain valuable insights from natural language data.

Features

🌟 Seamless Integration: Easily integrate the Langflow Widget into your website or web application with just a few lines of JavaScript.

🚀 Interactive Chat Interface: Engage your users with a user-friendly chat interface, powered by Langflow's advanced language understanding capabilities.

🎛️ Customizable Styling: Customize the appearance of the chat widget to match your application's design and branding.

🌐 Multilingual Support: Communicate with users in multiple languages, opening up your application to a global audience.

Installation

Option 1: CDN Link

Use the Langflow Widget directly from the CDN by including the following script tag in your HTML:

<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@v1.0.6/dist/build/static/js/bundle.min.js"></script>

Option 2: Local Build

  1. Clone this repository to your local machine:
git clone https://github.com/logspace-ai/langflow-embedded-chat.git
  1. Navigate to the project directory:
cd langflow-embedded-chat
  1. Build the project to generate the bundle:
npm run build
  1. After the build process completes, you'll find the bundle in the dist/build/static/js folder. You can include this JavaScript file in your HTML:
<script src="path/to/your/langflow-widget.js"></script>

Usage

on simple HTML

<html lang="en">
<head>
<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@v1.0.6/dist/build/static/js/bundle.min.js"></script>
</head>
<body>
<langflow-chat
    host_url="langflow url"
    flow_id="your_flow_id"
  ></langflow-chat>
</body>
</html>

on React

Import the js bundle in the index.html of your react project

<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@v1.0.6/dist/build/static/js/bundle.min.js"></script>

Encapsulate your custom element in a react component

export default function ChatWidget() {
  return (
    <div>
<langflow-chat
    host_url="langflow url"
    flow_id="your_flow_id"></langflow-chat>
    </div>
  );
}

Configuration

Use the widget API to customize your widget:

Prop Type Required
bot_message_style json No
chat_position string No
chat_trigger_style json No
chat_window_style json No
output_type string No
input_type string No
output_component string No
error_message_style json No
flow_id string Yes
height number No
host_url string Yes
input_container_style json No
input_style json No
online boolean No
start_open boolean No
online_message string No
placeholder string No
placeholder_sending string No
send_button_style json No
send_icon_style json No
tweaks json No
user_message_style json No
width number No
window_title string No
session_id string No
additional_headers json No
  • bot_message_style:

    • Type: JSON
    • Required: No
    • Description: Styling options for formatting bot messages in the chat window.
  • input_type:

    • Type: String
    • Required: No
    • Description: Specifies the input type for chat messages.
  • output_type:

    • Type: String
    • Required: No
    • Description: Specifies the output type for chat messages.
  • output_component:

    • Type: String
    • Required: No
    • Description: Specify the output ID for chat messages; this is necessary when multiple outputs are present.
  • chat_position:

    • Type: String
    • Required: No
    • Description: Determines the position of the chat window (top-left, top-center, top-right, center-left, center-right, bottom-right, bottom-center, bottom-left).
  • chat_trigger_style:

    • Type: JSON
    • Required: No
    • Description: Styling options for the chat trigger.
  • chat_window_style:

    • Type: JSON
    • Required: No
    • Description: Styling options for the overall chat window.
  • error_message_style:

    • Type: JSON
    • Required: No
    • Description: Styling options for error messages in the chat window.
  • flow_id:

    • Type: String
    • Required: Yes
    • Description: Identifier for the flow associated with the component.
  • height:

    • Type: Number
    • Required: No
    • Description: Specifies the height of the chat window in pixels.
  • host_url:

    • Type: String
    • Required: Yes
    • Description: The URL of the host for communication with the chat component.
  • input_container_style:

    • Type: JSON
    • Required: No
    • Description: Styling options for the input container where chat messages are typed.
  • input_style:

    • Type: JSON
    • Required: No
    • Description: Styling options for the chat input field.
  • Online:

    • Type: Boolean
    • Required: No
    • Description: Indicates if the chat component is online or offline.
  • start_open:

    • Type: Boolean
    • Required: No
    • Description: Indicates if the chat window should be open by default.
  • online_message:

    • Type: String
    • Required: No
    • Description: Custom message to display when the chat component is online.
  • placeholder:

    • Type: String
    • Required: No
    • Description: Placeholder text for the chat input field.
  • placeholder_sending:

    • Type: String
    • Required: No
    • Description: Placeholder text to display while a message is being sent.
  • send_button_style:

    • Type: JSON
    • Required: No
    • Description: Styling options for the send button in the chat window.
  • send_icon_style:

    • Type: JSON
    • Required: No
    • Description: Styling options for the send icon in the chat window.
  • tweaks:

    • Type: JSON
    • Required: No
    • Description: Additional custom tweaks for the associated flow.
  • user_message_style:

    • Type: JSON
    • Required: No
    • Description: Styling options for formatting user messages in the chat window.
  • width:

    • Type: Number
    • Required: No
    • Description: Specifies the width of the chat window in pixels.
  • window_title:

    • Type: String
    • Required: No
    • Description: Title for the chat window, displayed in the header or title bar.
  • session_id:

    • Type: String
    • Required: No
    • Description: Custom session id to override the random session id used as default.
  • additional_headers:

    • Type: JSON
    • Required: No
    • Description: Additional headers to be sent to Langflow server

Live example:

Try out or live example to see how the Langflow Embedded Chat ⛓️ works.

  1. first create a Flow and save it using Langflow ⛓️.
  2. Get the hosted URL to use in the live example.
  3. If you are using a public host (like Hugging Face Spaces) use tweaks to keep your API keys safe.

License

This project is licensed under the MIT License - see the LICENSE file for details.