Update app.py

app.py

@@ -16,6 +16,11 @@ pipe = pipeline(
     device=device,
 )
 
+desc = f"""
+This space transcribes Vietnamese words, phrases, and sentences via microphone or audio files then compares the user's text input to what the language model hears.
+You will then be given a PASS/FAIL grade to tell you if your spoken audio matches the text you entered.
+[{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) is the Vietnamese Speech-to-Text model that powers the analysis of the audio files.
+"""
 
 # Copied from https://github.com/openai/whisper/blob/c09a7ae299c4c34c5839a76380ae407e7d785914/whisper/utils.py#L50
 def format_timestamp(seconds: float, always_include_hours: bool = False, decimal_marker: str = "."):
@@ -70,11 +75,7 @@ mic_transcribe = gr.Interface(
     layout="vertical",
     theme="huggingface",
     title="Vietnamese Pronounciation Checker",
-    description=(
-        "This space transcribes Vietnamese words, phrases, and sentences via microphone or audio files then compares the user's text input to what the language model hears.\n" 
-        "You will then be given a PASS/FAIL grade to tell you if your spoken audio matches the text you entered.\n"
-        f"[{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) is a Vietnamese Speech-to-Text model and powers the analysis of the audio files.\n"
-    ),
+    description=(desc),
     allow_flagging="never",
 )
 
@@ -89,11 +90,7 @@ file_transcribe = gr.Interface(
     layout="vertical",
     theme="huggingface",
     title="Vietnamese Pronounciation Checker",
-    description=(
-        "This space transcribes Vietnamese words, phrases, and sentences via microphone or audio files then compares the user's text input to what the language model hears.\n" 
-        "You will then be given a PASS/FAIL grade to tell you if your spoken audio matches the text you entered.\n"
-        f"[{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) is a Vietnamese Speech-to-Text model and powers the analysis of the audio files.\n"
-    ),
+    description=(desc),
     examples=[
         ["./example.flac", "transcribe", False],
         ["./example.flac", "transcribe", True],