improved description

app.py

@@ -31,15 +31,15 @@ class ModelWrapper(nn.Module):
 # Initialize the wrapped model as a global variable
 wrapper = ModelWrapper(model)
 
-def get_attribution_values(smiles: str) -> str:
+def analyse_inhibitory_constant_for_delta_opioid_receptor(smiles: str) -> str:
     """
-    Predicts the inhibitory constant for a given molecule and gives the contribution of each smiles symbol.
+    Analyses the inhibitory constant for a given molecule to delta opioid receptor and gives the contribution of each smiles symbol.
 
     Args:
         smiles (str): The smiles string to analyze
 
     Returns:
-        str: A markdown table with the smiles symbols and their attribution values
+        str: The inhibitory constant and a markdown table with the smiles symbols and their attribution values for the inhibitory constant prediction
     """
     try:
         mol = Chem.MolFromSmiles(smiles)
@@ -87,7 +87,7 @@ def get_attribution_values(smiles: str) -> str:
 
 # Create the Gradio interface
 demo = gr.Interface(
-    fn=get_attribution_values,
+    fn=analyse_inhibitory_constant_for_delta_opioid_receptor,
     inputs=gr.Textbox(placeholder="Enter smiles to analyze..."),
     outputs=gr.Textbox(lines=10),  # Changed from gr.JSON() to gr.Textbox()
     title="Explainable Inhibitory Constant Prediction for Delta Opioid Receptor",