#creating LLM records for single record logging
prompt = Embedding(
vector= [0.10031, -0.06012, -0.00259, -0.08568, ...],
data="! Why does the UI have to be so clunky and unintuitive?! It's like every time I try to navigate through the options, I end up getting lost in a sea of confusing menus and poorly labeled buttons. And don't even get me started on the color scheme - who thought neon green on black was a good idea? At this point, I'm ready to throw my computer out the window and switch to a different product altogether. Come on, developers - make things simpler for us already!"
)
response = Embedding(
vector= [-0.11366, -0.20642, -0.03115, -0.18099,...],
data="I'm sorry to hear that you're experiencing difficulties with the UI. As an AI language model, I don't have the capability to change the UI, but I suggest looking into user guides, tutorials or support forums to help navigate through the menus more easily. Additionally, you could provide feedback to the developers on the UI, either through in-product feedback tools or their website. They may take into account your suggestions in future updates."
)
#creating object detection records for single record logging
object_detection_prediction = ObjectDetectionLabel(
bounding_boxes_coordinates: [[147.5, 98.0, 169.67, 276.69], [114.19, 108.4...]]
categories: ['chair', 'chair', 'bed', 'dining table', 'chair']
scores: [0.90, 0.97, 0.98, 0.96, 0.96, 0.92, ...]
)
object_detection_actual = ObjectDetectionLabel(
bounding_boxes_coordinates: [[437.51, 366.37, 529.0, 480.97], [0.0, 302.24...]]
categories: ['dining table', 'bed', 'chair', 'chair']
)
