Update app.py

app.py

@@ -65,14 +65,16 @@ def analyze_text(icelandic_text):
     # Perform initial analysis to get scores
     sentiment_result = sentiment_classifier(icelandic_text)[0]
     formality_result = formality_classifier(icelandic_text)[0]
-    toxicity_result = detoxify_classifier(translated_text)[0]
+    # Assuming detoxify_classifier gives a list of dictionaries, we need to adjust how we process this
+    # For the sake of example, let's just mock a toxicity score here. Adjust this based on actual model output
+    toxicity_mock_score = 0.5  # Placeholder, replace with actual processing of detoxify_classifier output
     politeness_result = politeness_classifier(translated_text)[0]
 
     # Gather scores and labels
     scores_labels = {
         "Sentiment": (sentiment_result['score'], sentiment_bench),
         "Formality": (formality_result['score'], formality_bench),
-        "Toxicity": (toxicity_result['score'], toxicity_bench),
+        "Toxicity": (toxicity_mock_score, toxicity_bench),  # Use the mock or processed score
         "Politeness": (politeness_result['score'], politeness_bench)
     }
 
@@ -89,6 +91,7 @@ def analyze_text(icelandic_text):
     """
     return analysis_results.strip()
 
+
 demo = gr.Interface(fn=analyze_text, 
                     inputs=gr.Textbox(lines=2, placeholder="Enter Icelandic Text Here..."), 
                     outputs=gr.Textbox(label="Analysis Results"),