update app.py

app.py

@@ -2,8 +2,11 @@ import gradio as gr
 import torch
 from transformers import pipeline
 
+#modelname = 'openai/whisper-large-v2'
+modelname = 'openai/whisper-small'
+
 device = 'cuda:0' if torch.cuda.is_available() else 'cpu'
-pipe = pipeline('automatic-speech-recognition', model='openai/whisper-large', chunk_length_s=30, device=device)
+pipe = pipeline('automatic-speech-recognition', model=modelname, chunk_length_s=30, device=device)
 
 def speech_to_text(mic, upload, state):
 	if state['active'] == 1: