diff --git a/README.md b/README.md
index 07456d1..b9810b9 100755
--- a/README.md
+++ b/README.md
@@ -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.