Saved new jit model

app.py

@@ -11,7 +11,7 @@ import re
 examples_path = "examples"
 #device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 device = torch.device("cpu")
-model = torch.jit.load("final_model.pth").to(device)
+model = torch.jit.load("final_model.pt").to(device)
 correct_preds, wrong_preds = {}, {}
 condition_lst = pd.read_csv("feature.csv", header = "infer", sep = ",", encoding = "utf-8", dtype=str)
 D_LABITEMS = pd.read_csv("D_LABITEMS.csv", header = "infer", sep = ",", encoding = "utf-8", dtype=str)

final_model.pth → final_model.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:731461d450bb0ec5f011c3751c98621171fb9abd017331da48d1f6fb3dec184d
-size 61002953
+oid sha256:0aca72505f3e02d8c071fa4cf61de1d1f976165570d34590770952aa96736221
+size 60999015