OpenAI-model-examples

OpenAI-model-examples automates text summarization, translation, and image generation using OpenAI's API. It efficiently processes user inputs to create concise summaries, translate content into German, and generate relevant images, enhancing productivity and communication. This workflow integrates multiple functionalities, allowing users to streamline their tasks and achieve faster results.

7/8/2025
27 nodes
Complex
manualcomplexopenaisticky notereadbinaryfilesadvancedapiintegrationfilesstorage
Categories:
Complex WorkflowManual Triggered
Integrations:
OpenAiSticky NoteReadBinaryFiles

Target Audience

Target Audience


- Researchers and Students: Those who need to summarize lengthy texts or articles for quick understanding.
- Content Creators: Individuals looking to translate content or generate engaging prompts for images.
- Developers: Programmers who want to integrate OpenAI's capabilities into their applications for tasks such as text summarization, translation, or image generation.
- Business Professionals: Users who need to respond quickly to emails or summarize reports efficiently.

Problem Solved

Problem Solved


This workflow addresses the challenges of:
- Time Consumption: Manually summarizing or translating lengthy texts can be tedious and time-consuming.
- Language Barriers: Translating content into different languages can be complex without the right tools.
- Creative Content Generation: Generating engaging visual content from textual prompts can be challenging without a structured approach.

Workflow Steps

Workflow Steps


1. Manual Trigger: The workflow starts when the user clicks the "Execute Workflow" button.
2. Load MP3: An audio file is loaded for transcription (disabled in the current setup).
3. Transcribe Audio: The transcription service (Whisper) converts the audio into text (also disabled).
4. Text Example: A predefined text is used as input for various processes.
5. Summarization: The text is summarized using different OpenAI models (Davinci and ChatGPT).
6. Translation: The summarized text is translated into German using OpenAI's editing capabilities.
7. Image Generation: A prompt is generated to create a comic-style cover image related to the input text.
8. HTML Generation: An HTML code with SVG images is generated based on user-defined shapes and colors.
9. Email Response Generation: The workflow can generate quick email responses based on user messages.
10. Sticky Notes: Various notes provide guidance and examples throughout the workflow.

Customization Guide

Customization Guide


- Modify Input Text: Users can change the text in the "Text-example" node to fit their needs.
- Adjust Summarization Models: Users can select different OpenAI models or adjust parameters like temperature and max tokens for summarization and translation.
- Change Image Style: The prompt for image generation can be customized to create different styles or themes.
- Add Additional Nodes: Users can incorporate more nodes for additional functionalities like data storage or further processing.
- Connect to Other APIs: Integrate other APIs to enhance the workflow, such as adding email services or cloud storage solutions.