Updated the script. Added some more labels and fomratted the score

app.py

@@ -16,7 +16,8 @@ from transformers import (
 
 diction_text = """
 How is this leisure to be disposed of? In the public-house? the singing hall? the dancing-saloon?
-which hold out seductions somewhat more dangerous, methinks, to honest labor than those presented by a library
+which hold out seductions somewhat more dangerous, methinks, to honest labour than those presented by a library...
+We may well rejoice, then, when we see a room such as this filled with attentive and reflective readers.
 """
 
 diction_script = gr.Textbox(diction_text, interactive=False, show_label=False)
@@ -30,9 +31,10 @@ model_id = "openai/whisper-large-v3"
 
 description = f"""
  <div>
-    <p>Welcome to redmond Barryoke! This app aims to demonstrate the potential of using machine learning to transcribe audio.</p>
-    <p>The app invites users to record themselves reading an brief and abridged excerpt from a speech delivered by Redmond Barry at the opening of The Free Public Library of Ballarat Est in 1869. Once recorded and submitted the app will transcribe and return a "diction" score.</p>
-    <p>This app uses {model_id} to power it's automated transcription</p>
+    <p>Welcome to Redmond Barry-oke! </p>
+    <p>This app aims to demonstrate the potential of using machine learning to transcribe audio. Users are invited to record themselves reading a brief and abridged excerpt from a speech delivered by Sir Redmond Barry at the opening of The Free Public Library of Ballarat Est in 1869. Once recorded and submitted the app will transcribe and return a "diction" score.</p>
+    <p>This app uses {model_id} to perform automated transcription</p>
+    <p>A full transcript of Sir Redmond Barry's speech can be read in the <a href="https://latrobejournal.slv.vic.gov.au/latrobejournal/issue/latrobe-26/t1-g-t3.html" target="_blank">La Trobe Journal</a></p>
  </div>
 """
 
@@ -83,7 +85,9 @@ def transcribe_audio(diction_text, audio):
 
     score = calc_score(diff_text)
 
-    return diff_text, f"{score}%"
+    formatted_score = f"{str(round(score,3))}%"
+
+    return diff_text, formatted_score
 
 
 highlighted_results = gr.HighlightedText(
@@ -93,7 +97,7 @@ highlighted_results = gr.HighlightedText(
     color_map={"+": "red", "-": "green"},
 )
 
-score = gr.Textbox("0%")
+score = gr.Textbox("0%", label="Score")
 
 
 input_audio = gr.Audio(
@@ -111,9 +115,8 @@ demo = gr.Interface(
     fn=transcribe_audio,
     inputs=[diction_script, input_audio],
     outputs=[highlighted_results, score],
-    title="Redmond Barryoke",
+    title="Redmond Barry-oke",
     description=description,
-    theme="abidlabs/Lime",
 )