whisper median and 12l mRASP2

app.py

@@ -6,7 +6,7 @@ import gradio as gr
 import whisper
 
 # the model we are using for ASR, options are small, medium, large and largev2 (large and largev2 don't fit on huggingface cpu)
-model = whisper.load_model("small")
+model = whisper.load_model("medium")
 
 import torch
 
@@ -28,7 +28,7 @@ os.system("pip install -r requirements.txt")
 os.system("git clone https://github.com/pytorch/fairseq")
 os.system("cd fairseq; pip install ./; cd ..")
 
-model_name = "6e6d_no_mono.pt"
+model_name = "12e12d_no_mono.pt"
 # os.system("wget https://lf3-nlp-opensource.bytetos.com/obj/nlp-opensource/acl2021/mrasp2/" + model_name)
 os.system("wget https://lf3-nlp-opensource.bytetos.com/obj/nlp-opensource/acl2021/mrasp2/bpe_vocab")
 os.system("wget https://lf3-nlp-opensource.bytetos.com/obj/nlp-opensource/emnlp2020/mrasp/pretrain/dataset/codes.bpe.32000")