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Fix: Correct README examples by removing unsupported arguments #78

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Fix: Correct README examples by removing unsupported arguments #78

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15 changes: 10 additions & 5 deletions README.md
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Expand Up @@ -59,19 +59,24 @@ This command will create a model checkpoints in `data/art_30` and some pickle fi

### The Interpreter module

Predict the SPARQL query for a given question it will store the detailed output in output_query.
Predict the SPARQL query for a given question. It will store the detailed output in `output_query.txt`.

```bash
python nspm/interpreter.py --input data/art_30 --output data/art_30 --query "yuncken freeman has architected in how many cities?"
python nspm/interpreter.py --input data/art_30 --query "yuncken freeman has architected in how many cities?"
```
or, if you want to use NSpM with [airml](https://github.com/sahandilshan/airML) to install pre-trained models, follow these steps,

or, if you want to use NSpM with [airml](https://github.com/sahandilshan/airML) to install pre-trained models, follow these steps:

1. Install airML latest version from [here](https://pypi.org/project/airML/)
2. Navigate to the table.kns [here](https://github.com/sahandilshan/KBox/blob/dev/kns/2.0/table.kns) and check if your model is listed in that file.
3. Then copy the name of that model and use it with the `interpreter.py` as follows
3. Then copy the name of that model and use it with the `interpreter.py` as follows:

```bash
python interpreter.py --airml http://nspm.org/art --output data/art_30 --inputstr "yuncken freeman has architected in how many cities?"
python interpreter.py --airml http://nspm.org/art --query "yuncken freeman has architected in how many cities?"
```

> Note: The arguments `--output` and `--inputstr` are not supported in the current implementation and have been removed from the examples.

## Use cases & integrations

* Components of the [Adam Medical platform](https://www.graphen.ai/products/mi_feature.html) partly developed by [Jose A. Alvarado](https://www.linkedin.com/in/josealvaradoguzman/) at Graphen (including a humanoid robot called Dr Adam), rely on NSpM technology.
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