Update README.md

README.md

@@ -30,15 +30,22 @@ The environmental-claims model is fine-tuned using the EnvironmentalClaims datas
 
 
 # Usage
-loading the model :
+### loading the model :
+```python
 from happytransformer import HappyTextClassification
 happy_class = HappyTextClassification(model_type="BERT", model_name="Vinoth24/environmental_claims")
-
-prediction :
+```
+### prediction :
+```python
 result = happy_class.classify_text('The reduction of carbon emissions is improving for the last 2 years.')
 print(result) -- TextClassificationResult(label='LABEL_1', score=0.9948860359191895)
 print(result.label) -- LABEL_1
 print(result.score) -- 0.994
+```
+
+### Result Interpretation:
+LABEL_1 - Related to Environmental Claims
+LABEL_0 - Not Related to Environmental Claims
 
 Feel free to train the model more with your custom Environmental claims data. Any queries will be answered. Thank you! :)