run device = cpu

README.md

@@ -1,6 +1,6 @@
 ---
-title: Tunisian Asr
-emoji: 🐠
+title: Code Switched Tunisian Speech Recognition
+emoji: 🌶
 colorFrom: pink
 colorTo: yellow
 sdk: gradio

app.py

@@ -347,6 +347,7 @@ french_asr_model.to("cpu")
 cvhparams_file, cvrun_opts, cvoverrides = sb.parse_arguments(["EnglishCV/train_en_with_wav2vec.yaml"])
 with open(cvhparams_file) as cvfin:
     cvhparams = load_hyperpyyaml(cvfin, cvoverrides)
+cvrun_opts["device"]="cpu"
 english_asr_model = ASRCV(
         modules=cvhparams["modules"],
         hparams=cvhparams,
@@ -700,6 +701,7 @@ if hparams["language_modelling"]:
 
 
 
+run_opts["device"]="cpu"
 
 mixer = Mixer(
     modules=hparams["modules"],
@@ -725,7 +727,6 @@ decoder = build_ctcdecoder(
     beta=1,  # tuned on a val set
 )
 
-run_opts["device"]="cpu"
 
 
 device = "cpu"