Flow description
Purpose and benefits
Workflow Description: Summarize Input Text
This workflow, titled “Summarize Input Text”, is designed to automatically generate concise summaries from any text provided by the user. It leverages a step-by-step process, integrating user interaction, prompt engineering, and AI-powered text summarization to streamline the task of condensing lengthy materials into digestible bullet points and brief paragraphs.
Flow Overview
When a user opens the chat, the system welcomes them and guides them to input the text they wish to summarize. Upon entering their text, the flow constructs an effective prompt for a language model, instructing it to produce a summary with key points in both narrative and bullet-point format. The generated summary is then displayed back to the user.
Step-by-Step Process
Step | Node | Functionality |
---|
1 | ChatOpenedTrigger | Detects when a chat session is started. |
2 | MessageWidget | Displays a friendly welcome message and instructions. |
3 | ChatInput | Collects the user’s input text for summarization. |
4 | PromptTemplate | Builds a custom prompt for the AI with user text as context. |
5 | Generator | Uses an AI model to generate a summary based on the prompt. |
6 | ChatOutput | Shows the generated summary to the user in the chat interface. |
Detailed Flow
Chat Initiation & Welcome
- When the chat is opened (
ChatOpenedTrigger
), a Message Widget sends a welcoming and informative message to the user, explaining the purpose of the tool and how to use it.
User Input Collection
- The user inputs the text they want to summarize through a chat input field (
ChatInput
).
Prompt Construction
The provided text is injected into a prompt template (PromptTemplate
). This template instructs the AI to act as a professional copywriter and to summarize the input into less than 8 sentences, including both text and bullet points.
Prompt Example:
You are a professional copywriter with excellent skill of summarization long text into short.
Summarize the following text into less than 8 sentences.
Contain text and bullet-points
TEXT:
{user input}
SUMMARIZATION:
Summary Generation
- The constructed prompt is sent to a Generator node, which utilizes a selected Large Language Model (LLM) to process the prompt and generate the summary.
Output Display
- The generated summary is displayed back to the user via a Chat Output node, making the results accessible and easy to read.
Why This Workflow Is Useful
- Scalability: This workflow can handle a large number of summarization requests with minimal manual intervention, making it perfect for teams or individuals dealing with high volumes of text.
- Automation: It automates the often time-consuming process of reading and condensing long documents, articles, or paragraphs, freeing up human resources for other tasks.
- Consistency: By using a standardized prompt and AI model, it ensures summaries follow a consistent structure and quality.
- User-Friendly: The clear welcome message and simple input method make it accessible even for non-technical users.
Potential Use Cases
- Summarizing research articles, reports, or emails for rapid review.
- Generating executive summaries for lengthy documents.
- Creating concise study notes from transcripts or textbooks.
- Quickly extracting key points from meeting notes or web content.
Summary
This flow provides an efficient, automated solution for summarizing any input text into a short, easy-to-read format. By integrating user guidance, prompt engineering, and AI generation, it delivers scalable and consistent results—ideal for anyone needing to distill complex information into clear, actionable insights.