tidy

app.py

@@ -177,11 +177,11 @@ if __name__ == "__main__":
         )
         gr.Markdown(
             """
-            One of the major claims of the <a href="https://arxiv.org/abs/2311.00430"> Distil-Whisper paper </a> is that 
+            One of the major claims of the <a href="https://arxiv.org/abs/2311.00430"> Distil-Whisper paper</a> is that 
             that Distil-Whisper hallucinates less than Whisper on long-form audio. To demonstrate this, we'll analyse the
-            transcriptions generated by <a href="https://huggingface.co/openai/whisper-large-v2"> Whisper </a> 
-            and <a href="https://huggingface.co/distil-whisper/distil-large-v2"> Distil-Whisper </a> on the 
-            <a href="https://huggingface.co/datasets/distil-whisper/tedlium-long-form"> TED-LIUM </a> validation set.
+            transcriptions generated by <a href="https://huggingface.co/openai/whisper-large-v2"> Whisper</a> 
+            and <a href="https://huggingface.co/distil-whisper/distil-large-v2"> Distil-Whisper</a> on the 
+            <a href="https://huggingface.co/datasets/distil-whisper/tedlium-long-form"> TED-LIUM</a> validation set.
 
             To quantify the amount of repetition and hallucination in the predicted transcriptions, we measure the number 
             of repeated 5-gram word duplicates (5-Dup.) and the insertion error rate (IER). Analysis is performed on the