Update app.py

app.py

@@ -7,7 +7,7 @@ def clear_inputs():
     Reset all UI input and output fields to their default values.
     Returns a tuple of empty or default values for all UI components.
     """
-    return "", 0, "", [], "", "", "", "", 0, "", "", "", "", "", ""
+    return "", 0, "", [], "", "", "", "", 0, "", "", "", ""
 
 custom_css = """
 /* General Styling */
@@ -185,7 +185,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
                 paraphrased_bias_output = gr.Textbox(label="Paraphrased Bias Score", placeholder="Bias score will appear here...")
                 semantic_similarity_output = gr.Textbox(label="Semantic Similarity", placeholder="Semantic similarity score will appear here...")
                 empathy_score_output = gr.Textbox(label="Empathy Score", placeholder="Empathy score will appear here...")
-                rouge_scores_output = gr.Textbox(label="ROUGE Scores", placeholder="ROUGE scores will appear here...")
 
     with gr.Row():
         with gr.Column(scale=1):
@@ -209,7 +208,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
             prediction, confidence, color, toxicity_score, bias_score,
             paraphrased_comment, paraphrased_prediction, paraphrased_confidence,
             paraphrased_color, paraphrased_toxicity_score, paraphrased_bias_score,
-            semantic_similarity, empathy_score, rouge_scores
+            semantic_similarity, empathy_score
         ) = classify_toxic_comment(comment)
         
         history.append({
@@ -224,8 +223,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
             "paraphrased_toxicity_score": paraphrased_toxicity_score,
             "paraphrased_bias_score": paraphrased_bias_score,
             "semantic_similarity": semantic_similarity,
-            "empathy_score": empathy_score,
-            "rouge_scores": rouge_scores
+            "empathy_score": empathy_score
         })
         
         threshold_message = "High Confidence" if confidence >= 0.7 else "Low Confidence"
@@ -245,10 +243,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
         )
         semantic_similarity_display = f"{semantic_similarity} (Scale: 0 to 1, higher is better)" if semantic_similarity is not None else "N/A"
         empathy_score_display = f"{empathy_score} (Scale: 0 to 1, higher indicates more empathy)" if empathy_score is not None else "N/A"
-        rouge_scores_display = (
-            f"ROUGE-1: {rouge_scores['rouge1']}, ROUGE-2: {rouge_scores['rouge2']}, ROUGE-L: {rouge_scores['rougeL']}"
-            if rouge_scores else "N/A"
-        )
 
         prediction_class = "toxic-indicator" if "Toxic" in prediction else "nontoxic-indicator"
         prediction_html = f"<span class='{prediction_class}' style='color: {color}; font-size: 20px; font-weight: bold;'>{prediction}</span>"
@@ -258,7 +252,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
             toxicity_display, bias_display,
             paraphrased_comment_display, paraphrased_prediction_display, paraphrased_confidence_display,
             paraphrased_toxicity_display, paraphrased_bias_display, paraphrased_label_html,
-            semantic_similarity_display, empathy_score_display, rouge_scores_display
+            semantic_similarity_display, empathy_score_display
         )
 
     def handle_feedback(feedback, comment):
@@ -270,7 +264,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
             "Calculating... <span class='loading'>⏳</span>", "Calculating... <span class='loading'>⏳</span>", 
             "Paraphrasing... <span class='loading'>⏳</span>", "Calculating... <span class='loading'>⏳</span>", 0, 
             "Calculating... <span class='loading'>⏳</span>", "Calculating... <span class='loading'>⏳</span>", "", 
-            "Calculating... <span class='loading'>⏳</span>", "Calculating... <span class='loading'>⏳</span>", 
             "Calculating... <span class='loading'>⏳</span>", "Calculating... <span class='loading'>⏳</span>"
         ),
         inputs=[],
@@ -279,7 +272,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
             toxicity_output, bias_output,
             paraphrased_comment_output, paraphrased_prediction_output, paraphrased_confidence_output,
             paraphrased_toxicity_output, paraphrased_bias_output, paraphrased_label_display,
-            semantic_similarity_output, empathy_score_output, rouge_scores_output
+            semantic_similarity_output, empathy_score_output
         ]
     ).then(
         fn=handle_classification,
@@ -289,7 +282,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
             toxicity_output, bias_output,
             paraphrased_comment_output, paraphrased_prediction_output, paraphrased_confidence_output,
             paraphrased_toxicity_output, paraphrased_bias_output, paraphrased_label_display,
-            semantic_similarity_output, empathy_score_output, rouge_scores_output
+            semantic_similarity_output, empathy_score_output
         ]
     ).then(
         fn=lambda prediction, confidence, html: html,
@@ -314,7 +307,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
             comment_input, confidence_output, label_display, history_output, toxicity_output, bias_output,
             paraphrased_comment_output, paraphrased_prediction_output, paraphrased_confidence_output,
             paraphrased_toxicity_output, paraphrased_bias_output, paraphrased_label_display,
-            semantic_similarity_output, empathy_score_output, rouge_scores_output
+            semantic_similarity_output, empathy_score_output
         ]
     )