Update app.py

app.py

@@ -66,7 +66,7 @@ gradio_ui = gr.Interface(
     
     1. 1 billion, best accuracy but slowest by big margin. Based on multilingual wav2vec2-xlsr model by Meta. More info here https://huggingface.co/Finnish-NLP/wav2vec2-xlsr-1b-finnish-lm-v2
     3. 300 million, at bar in accuracy as 1. but a lot faster. Based on Uralic wav2vec2 model by Meta. More info here https://huggingface.co/Finnish-NLP/wav2vec2-large-uralic-voxpopuli-v2-finnish
-    3. 95 million, almost as accurate as 1. but really much faster. Based on finnish wav2vec2-xlsr model by Meta. More info here https://huggingface.co/Finnish-NLP/wav2vec2-base-fi-voxpopuli-v2-finetuned
+    3. 95 million, almost as accurate as 1. but really much faster. Based on Finnish wav2vec2  model by Meta. More info here https://huggingface.co/Finnish-NLP/wav2vec2-base-fi-voxpopuli-v2-finetuned
     
     More info about the casing+punctuation correction model can be found here https://huggingface.co/Finnish-NLP/t5-small-nl24-casing-punctuation-correction
     """,