Update app.py

app.py

@@ -1,8 +1,10 @@
 from transformers import pipeline
+from transformers import  WhisperProcessor, WhisperForConditionalGeneration
 import gradio as gr
 
-model = pipeline(model="MaximilianChen/Casper")
-
+model = WhisperForConditionalGeneration.from_pretrained("MaximilianChen/Casper")
+processor = WhisperProcessor.from_pretrained('openai/whisper-small', language='catalan', task='transcribe')
+asr = pipeline("automatic-speech-recognition", model=model, pprocessor=processor)
 
 def transcribe_audio(mic=None, file=None):
     if mic is not None:
@@ -11,7 +13,7 @@ def transcribe_audio(mic=None, file=None):
         audio = file
     else:
         return "You must either provide a mic recording or a file"
-    transcription = model(audio)["text"]
+    transcription = asr(audio)["text"]
     return transcription