Update app.py

app.py

@@ -13,35 +13,8 @@ from nemo.collections.asr.models import ASRModel
 from nemo.collections.asr.parts.utils.streaming_utils import FrameBatchMultiTaskAED
 from nemo.collections.asr.parts.utils.transcribe_utils import get_buffered_pred_feat_multitaskAED
 
-'''
-model_id = "NousResearch/Meta-Llama-3-8B"
-
-llama_pipe = pipeline(
-    "text-generation", 
-    model=model_id, 
-    model_kwargs={"torch_dtype": torch.bfloat16}, 
-    device_map="auto",
-)
-
-
-
-torch.random.manual_seed(0)
-proc_model_name = "NousResearch/Meta-Llama-3-8B"
-proc_model = AutoModelForCausalLM.from_pretrained(proc_model_name)
-proc_model.to("cpu")
-proc_tokenizer = AutoTokenizer.from_pretrained(proc_model_name)
 
 
-
-
-
-torch.random.manual_seed(0)
-proc_model_name = "microsoft/Phi-3-mini-4k-instruct-gguf"
-proc_model = AutoModelForCausalLM.from_pretrained(proc_model_name)
-proc_model.to("cpu")
-proc_tokenizer = AutoTokenizer.from_pretrained(proc_model_name)
-'''
-
 torch.random.manual_seed(0)
 proc_model_name = "microsoft/Phi-3-mini-4k-instruct"
 proc_model = AutoModelForCausalLM.from_pretrained(