Update app.py

app.py

@@ -194,7 +194,7 @@ def predict_gender_pronouns(
                                                 / num_ave), DECIMAL_PLACES)
 
     uncertain_df = pd.DataFrame.from_dict(
-        all_uncertainty_f, orient='index', columns=['Uncertainty metric'])
+        all_uncertainty_f, orient='index', columns=['Underspecification Metric'])
 
     uncertain_df = uncertain_df.reset_index().rename(
         columns={'index': 'Sentence number'})
@@ -209,7 +209,6 @@ def predict_gender_pronouns(
 demo = gr.Blocks()
 with demo:
     input_texts = gr.Variable([])
-    gr.Markdown("**Are you certain?**")
     gr.Markdown("LLMs are pretty good at reporting task underspecification. We just need to ask the right way.")
     gr.Markdown("Using our Underspecification Metric informed by applying causal inference techniques, \
         we are able to identify likely spurious correlations and exploit them in \
@@ -220,9 +219,7 @@ with demo:
         only two of the sentences are well-specified while the rest remain underspecified.")
     gr.Markdown("If a model can reliably report the underspecification of an inference-time task, an AI systems can replace only those task predictions with\
         an appropriate heuristic or information retrieval process.")
-
-    gr.Markdown("**TL;DR**")
-    gr.Markdown("Follow steps below to test out one of the pre-loaded options. Once you get the hang of it, you can load a new model and/or provide your own input texts.")
+    gr.Markdown("**TL;DR**: Follow steps below to test out one of the pre-loaded options. Once you get the hang of it, you can load a new model and/or provide your own input texts.")
 
     with gr.Row():
         model_name = gr.Radio(