Number instructions for improved readability

app.py

@@ -228,7 +228,7 @@ with demo:
         model_name = gr.Radio(
             MODEL_NAMES,
             type="value",
-            label="Pick a preloaded BERT-like model for uncertainty evaluation (note: RoBERTa-large performance is best)...",
+            label="1) Pick a preloaded BERT-like model for uncertainty evaluation (note: RoBERTa-large performance is best)...",
         )
         own_model_name = gr.Textbox(
             label=f"...Or, if you selected an '{OWN_MODEL_NAME}' model, put any Hugging Face pipeline model name \
@@ -237,19 +237,19 @@ with demo:
 
     with gr.Row():
         occ_box = gr.Radio(
-            occs+[PICK_YOUR_OWN_LABEL], label=f"Pick an Occupation type from the Winogender Schemas evaluation set, or select '{PICK_YOUR_OWN_LABEL}'\
+            occs+[PICK_YOUR_OWN_LABEL], label=f"2) Pick an Occupation type from the Winogender Schemas evaluation set, or select '{PICK_YOUR_OWN_LABEL}'\
                  (it need not be about an occupation).")
 
     with gr.Row():
         alt_input_texts = gr.Textbox(
             lines=2,
-            label=f"...If you selected '{PICK_YOUR_OWN_LABEL}' above, add your own texts new-line delimited sentences here. Be sure\
+            label=f"...Or, if you selected '{PICK_YOUR_OWN_LABEL}' above, add your own texts new-line delimited sentences here. Be sure\
             to include a single MASK-ed out pronoun. \
             If unsure on the required format, click an occupation above instead, to see some example input texts for this round.",
         )
 
     with gr.Row():
-        get_text_btn = gr.Button("Load input texts")
+        get_text_btn = gr.Button("3) Load input texts")
 
     get_text_btn.click(
         fn=display_input_texts,
@@ -260,7 +260,7 @@ with demo:
     )
 
     with gr.Row():
-        uncertain_btn = gr.Button("Get uncertainty results!")
+        uncertain_btn = gr.Button("4) Get uncertainty results!")
     gr.Markdown(
         "If there is an * by a sentence number, then at least one top prediction for that sentence was non-gendered.")