This app architecture enables users to upload an image, select a preferred LLM, define desired output values (e.g., description, aspect ratio, color palette, etc), and receive JSON-formatted results.
The system allows the storage of the uploaded images and uses session-based memory to retain user preferences, such as selected LLM and API keys. The core Image Analysis Process handles input validation, enhanced prompt generation (combining user inputs and the uploaded image), and sends requests to the selected LLM. The results are processed and then displayed to the user.
Want to check out the app? You can here.
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