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Update README.md

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Joel-Flores123
2025-09-16 14:48:40 -05:00
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@@ -24,7 +24,7 @@ dataset
The names of the inner directories and files do not matter. Then create the dataset: The names of the inner directories and files do not matter. Then create the dataset:
``` ```
python prepare_dataset.py <path to JSON> uv run prepare_dataset.py <path to JSON>
``` ```
## Segmentation model ## Segmentation model
@@ -32,7 +32,7 @@ python prepare_dataset.py <path to JSON>
Create a segmentation model JSON file based off the sample (`sample_jsons/py36-sample-segmentation.json`). Then train the model: Create a segmentation model JSON file based off the sample (`sample_jsons/py36-sample-segmentation.json`). Then train the model:
``` ```
python train_models.py --segmentation <path to JSON> uv run train_models.py --segmentation <path to JSON>
``` ```
## Statement model ## Statement model
@@ -40,7 +40,7 @@ python train_models.py --segmentation <path to JSON>
Create a statement model JSON file based off the sample (`sample_jsons/py36-sample-statement.json`). Then train the model: Create a statement model JSON file based off the sample (`sample_jsons/py36-sample-statement.json`). Then train the model:
``` ```
python train_models.py --statement <path to JSON> uv run train_models.py --statement <path to JSON>
``` ```
Once models are trained, update `../pylingual/decompiler_config.yaml` or create a separate config file by replacing the old models with the newly trained ones. Once models are trained, update `../pylingual/decompiler_config.yaml` or create a separate config file by replacing the old models with the newly trained ones.