emilwallner / emilwallner/Screenshot-to-code
Post-processing to improve the predicted DSL
- Dominant language
- HTML
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Description
Dear Emil,
Thanks for this great job, I really appreciate the project.
Concerning the bootstrap version, I was wondering if you used a post-processing step to improve the DSL prediction.
In fact, when obtaining a DSL predicted by the model, then, the compiler used for HTML generation is really sensitive to the quality of the prediction.
For instance, the following cases will lead to a 'None' HTML or 'parsing error' in the compiler :
- the prediction contains 2 successives ' , '
- 'text text' without ' , ' to separate them
- succession of ' , ' and ' } '
In general, how do you deal with errors in DSL prediction that could be critical ?
Thanks a lot,
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