Update app.py

app.py

@@ -4,7 +4,7 @@ import gradio as gr
 import pytube as pt
 from transformers import pipeline
 
-MODEL_NAME = "openai/whisper-base"
+MODEL_NAME = "openai/whisper-large-v2"
 BATCH_SIZE = 8
 
 device = 0 if torch.cuda.is_available() else "cpu"
@@ -77,7 +77,6 @@ mf_transcribe = gr.Interface(
     layout="horizontal",
     theme="huggingface",
     title="Whisper Large V2: Transcribe Audio",
-   
     description=(
         "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
         f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"