Update app.py

app.py

@@ -71,9 +71,9 @@ mic_transcribe = gr.Interface(
     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." 
-        "You will then be given a PASS/FAIL grade to tell you if your spoken audio matches the text you entered."
-        f"[{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) is a Vietnamese Speech-to-Text model and powers the analysis of the audio files."
+        "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"
     ),
     allow_flagging="never",
 )
@@ -90,9 +90,9 @@ file_transcribe = gr.Interface(
     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." 
-        "You will then be given a PASS/FAIL grade to tell you if your spoken audio matches the text you entered."
-        f"[{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) is a Vietnamese Speech-to-Text model and powers the analysis of the audio files."
+        "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"
     ),
     examples=[
         ["./example.flac", "transcribe", False],