add new whisper model

whisper.py

@@ -8,9 +8,10 @@ import torch
 device = 0 if torch.cuda.is_available() else "cpu"
 torch_dtype = torch.float32
 
-
-MODEL_NAME = "openai/whisper-large-v3"
-model = WhisperForConditionalGeneration.from_pretrained(MODEL_NAME, torch_dtype=torch_dtype).to(device)
+HF_TOKEN = os.getenv("HF_TOKEN")
+#MODEL_NAME = "openai/whisper-large-v3"
+MODEL_NAME = "projecte-aina/whisper-large-v3-ca-es-synth-cs"
+model = WhisperForConditionalGeneration.from_pretrained(MODEL_NAME, torch_dtype=torch_dtype,token=HF_TOKEN).to(device)
 processor = WhisperProcessor.from_pretrained(MODEL_NAME)
 pipeline_vad = Pipeline.from_pretrained("./pyannote/config.yaml") 
 threshold = 15000  # adjust max duration threshold