Update app.py

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from faster_whisper import WhisperModel
 
 model_size = 'large-v3'
-model = whisper.load_model(model_size, device="auto", compute_type="float16")
+model = WhisperModel(model_size, device="auto", compute_type="float16")
 
 # or run on GPU with INT8
 # model = WhisperModel(model_size, device="cuda", compute_type="int8_float16")
@@ -13,7 +13,7 @@ def speech_to_text(audio_file, _model_size):
     global model_size, model
     if model_size != _model_size:
         model_size = _model_size
-        model = whisper.load_model(model_size, device="auto", compute_type="float16")
+        model = WhisperModel(model_size, device="auto", compute_type="float16")
 
     with torch.no_grad():
         segments, info = model.transcribe(