Optimize API Size with Lazy Loading for /barcode and /database Routes

Currently, the API call returns a nested dictionary, which can be large and slow to process. Implement lazy loading to fetch only the required data as needed, reducing the API response size and improving performance on the /barcode and /database routes.

Look at the /barcode and /database route handlers in the codebase, likely in a file like main.py or routes.py. Understand the current data structure being returned. Research FastAPI's lazy loading or async data fetching patterns. Determine what 'required data' means for each route, possibly by checking the frontend usage. A successful change will reduce the response payload size while maintaining functionality.

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