Samuel Sloniker
2 years ago
2 changed files with 17 additions and 1 deletions
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# gptc_scratch |
# gptc_scratch |
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GPTC, ported to Scratch |
gptc_scratch uses the same algorithm as GPTC, in a Scratch project. However, it |
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only supports two categories, and they are numbered (1 and 2) rather than |
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named. |
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Models are formatted differently than in the Python version of GPTC. A model |
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consists of two files, each containing the text for a category. gptc_scratch |
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does not have a tokenizer, so each line must consist of one lowercase word with |
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no other characters. To load the model, right-click "Category 1 Words" in the |
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project, click "import," then choose one of the files. Do the same thing again |
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with "Category 2 Words" and the other file. |
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The text to classify must be stored in the same format as the model files. |
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Follow the same procedure that you used for loading the model files, but with |
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"Words in text to classify" and the file containing the text to classify. Then, |
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click "Compile." If the button changes to a lighter color, wait for it to |
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change back. Next, click "classify." This should update the "Cat1" and "Cat2" |
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variables with the confidence valued for the given text and categories. |
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