Update README.md

README.md

@@ -90,6 +90,7 @@ Ensure your project follows this structure:
 │   ├── model.joblib               # The trained XGBoost model
 │   └── scaler.pkl                 # The scikit-learn scaler
 ├── output/                        # Output directory for processed files
+├── dummy.py                       # The interactive testing script
 ├── main_parquet_spacy_jsonl.py             # The main processing script jsonl
 ├── main_parquet_spacy_parquet.py           # The main processing script parquet
 └── predictor_parquet_spacy.py     # The feature extraction module
@@ -139,4 +140,19 @@ Dodawanie do kolejki: input_parquet\docs.parquet
 <dataframe head>
 Processing time: 47.61986541748047 seconds
 Wszystkie pliki zostały przetworzone!
-```
+```
+
+## 6. Interactive Testing (dummy.py)
+
+For quick, single-text analysis or model debugging, you can use the `dummy.py` script. It runs in a single-threaded, interactive mode.
+
+### How to Use
+
+1.  Run the script from your terminal:
+    ```bash
+    python dummy.py
+    ```
+2.  The script will load the models and prompt you for input with a `>` symbol.
+3.  Type any Polish text and press Enter. The script will immediately display the predicted category and confidence score.
+4.  To exit the script, type `quit` or `exit` and press Enter.
+