Update README.md

README.md

@@ -71,9 +71,9 @@ For your screening, load the model, i.e. the **Activity Predictor** into your py
 from src.prediction_pipeline load ActivityPredictor
 
 # Define inputs
-query_smiles = ["C1CCCCC1", "C1CCCCC1", "C1CCCCC1", "C1CCCCC1"] # Replace with your data
-support_actives_smiles = ["C1CCCCC1", "C1CCCCC1"] # Replace with your data
-support_inactives_smiles = ["C1CCCCC1", "C1CCCCC1"] # Replace with your data
+query_smiles = ["C1CCCCC1", "C1CCCCC1", "C1CCCCC1", "C1CCCCC1"]  # Replace with your data
+support_actives_smiles = ["C1CCCCC1", "C1CCCCC1"]  # Replace with your data
+support_inactives_smiles = ["C1CCCCC1", "C1CCCCC1"]  # Replace with your data
     
 # Make predictions
 predictions = predictor.predict(query_smiles, support_actives_smiles support_inactives_smiles)