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- show validation output in a friendly manner using gui prompt by parsing the stdout, here is a sample (mistakes may not exist in the output, labels may be different):
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- have the ability to show inferrence output (infer_output.json) in a friendly manner using gui prompt, here is a sample:
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- convert labeling.html to python GUI
- make GUI more user friendly with styling similar to balenaEtcher
- remove trained_model_1 folder after closing training window if it is empty and if any backups exist in such case rename them accordingly
- add scrollbars to textareas
- custom icon
- custom logo
- additional text descriptions around the interface
- license button in menubar with info about DistilBERT and other libraries used