Update app.py (#1)

- Update app.py (fadf5f41ce68b2cbcb63e26aae07bdbdd04f6bbc)


Co-authored-by: Leah Marty <lmarty@users.noreply.huggingface.co>

app.py

@@ -441,7 +441,7 @@ def analyze_response(user_response):
 
     print("\nRegard Analysis:")
     regard_label = analysis_result["regard_label"]
-    regard_score = analysis_result["regard_score"]
+    regard_score = {analysis_result["regard_score"]:.2f}
     
     # MNLI fairness signal
     mnli_rating = mnli_bias_score(user_response)
@@ -583,8 +583,8 @@ with gr.Blocks(title="Bias Detection & Mitigation Tool") as demo:
     gr.Markdown("""
     ### About
     This tool uses multiple models to detect bias in text:
-    - LLaMA for bias classification
-    - Regard classifier for social perceptions (is the text negative or positive?)
+    - LLaMA performs bias classification. Bias label indicates whether the response is biased, bias type returns the type of social bias found in the response and demographic group affected, if biased.
+    - The Regard classifier indicates the social perception of the response (is the text negative or positive?)
     - MNLI for fairness scoring
     - Fairlearn for demographic metrics
     """)