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.
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.
🌟 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.
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@main/dist/build/static/js/bundle.min.js"></script>- Clone this repository to your local machine:
git clone https://github.com/logspace-ai/langflow-embedded-chat.git- Navigate to the project directory:
cd langflow-embedded-chat- Build the project to generate the bundle:
npm run build- After the build process completes, you'll find the bundle in the
dist/build/static/jsfolder. You can include this JavaScript file in your HTML:
<script src="path/to/your/langflow-widget.js"></script><html lang="en">
<head>
<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>
</head>
<body>
<langflow-chat
chat_input_field="input"
chat_inputs='{"input":""}'
host_url="langflow url"
flow_id="your_flow_id"
></langflow-chat>
</body>
</html>Import the js bundle in the index.html of your react project
<script src="https://cdn.jsdelivr.net/gh/logspace-ai/langflow-embedded-chat@main/dist/build/static/js/bundle.min.js"></script>Encapsulate your custom element in a react component
export default function ChatWidget() {
return (
<div>
<langflow-chat
chat_input_field="input"
chat_inputs='{"input":""}'
host_url="langflow url"
flow_id="your_flow_id"></langflow-chat>
</div>
);
}Use the widget API to customize your widget:
| Prop | Type | Required |
|---|---|---|
| bot_message_style | json | No |
| chat_input_field | string | Yes |
| chat_inputs | json | Yes |
| chat_position | string | No |
| chat_trigger_style | json | No |
| chat_window_style | json | No |
| chat_output_key | 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 |
| 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 |
| additional_headers | json | No |
-
bot_message_style:
- Type: JSON
- Required: No
- Description: Styling options for formatting bot messages in the chat window.
-
chat_input_field:
- Type: String
- Required: Yes
- Description: Specifies the input field type for chat messages.
-
chat_inputs:
- Type: JSON
- Required: Yes
- Description: Defines the chat input elements and their values.
-
chat_output_key:
- Type: String
- Required: No
- Description: Specify which output to choose if there is more than one output.
-
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.
-
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.
-
additional_headers:
- Type: JSON
- Required: No
- Description: Additional headers to be sent to Langflow server
Try out or live example to see how the Langflow Embedded Chat ⛓️ works.
- first create a Flow and save it using Langflow ⛓️.
- Get the hosted URL to use in the live example.
- If you are using a public host (like Hugging Face Spaces) use tweaks to keep your API keys safe.
This project is licensed under the MIT License - see the LICENSE file for details.