Update asr.py

asr.py

@@ -3,7 +3,6 @@ from transformers import Wav2Vec2ForCTC, AutoProcessor
 import torch
 
 ASR_SAMPLING_RATE = 16_000
-
 MODEL_ID = "facebook/mms-1b-all"
 
 processor = AutoProcessor.from_pretrained(MODEL_ID)
@@ -23,6 +22,10 @@ def transcribe(audio):
     with torch.no_grad():
         outputs = model(**inputs).logits
 
+    # Setting the target language to Faroese (ISO 639-3: fao)
+    processor.tokenizer.set_target_lang("fao")
+    model.load_adapter("fao")
+    
     ids = torch.argmax(outputs, dim=-1)[0]
     transcription = processor.decode(ids)