add asr type

app.py

@@ -37,7 +37,7 @@ language = "icelandic" # we use icelandic as the model was trained to replace th
 # Load the custom tokenizer designed for Bambara and the ASR model
 #tokenizer = BambaraWhisperTokenizer.from_pretrained(model_checkpoint, language=language, device=device)
 tokenizer = WhisperTokenizer.from_pretrained(model_checkpoint, language=language, device=device)
-pipe = pipeline(model=model_checkpoint, device=device, revision=revision)
+pipe = pipeline("automatic-speech-recognition", model=model_checkpoint, tokenizer=tokenizer, device=device, revision=revision)
 
 
 def resample_audio(audio_path, target_sample_rate=16000):