Update app.py

app.py

@@ -109,16 +109,16 @@ def predict(user_input_text):
 
     response += "<br>TOP 2 MOST INFLUENTIAL WORDS FOR EACH LABEL:<br>"
     for i, explanations in enumerate(explanation_lists):
-    label = labels[i]
-    response += f"{label}:<br>"
-    for explanation in explanations:
-        if explanation.explainer == 'Partition SHAP':
-            sorted_scores = sorted(enumerate(explanation.scores), key=lambda x: abs(x[1]), reverse=True)[:2]
-            if sorted_scores:  # Check if the list is not empty
-                tokens = replace_encoding(explanation.tokens)
-                tokens = [tokens[idx] for idx, _ in sorted_scores]
-                formatted_output = ' '.join(tokens)
-                response += f"{formatted_output}<br>"
+        label = labels[i]
+        response += f"{label}:<br>"
+        for explanation in explanations:
+            if explanation.explainer == 'Partition SHAP':
+                sorted_scores = sorted(enumerate(explanation.scores), key=lambda x: abs(x[1]), reverse=True)[:2]
+                if sorted_scores:  # Check if the list is not empty
+                    tokens = replace_encoding(explanation.tokens)
+                    tokens = [tokens[idx] for idx, _ in sorted_scores]
+                    formatted_output = ' '.join(tokens)
+                    response += f"{formatted_output}<br>"
 
     return response