Update app.py

app.py

@@ -5,22 +5,16 @@ import torch
 
 import io
 
-class CPU_Unpickler(pickle.Unpickler):
-    def find_class(self, module, name):
-        if module == 'torch.storage' and name == '_load_from_bytes':
-            return lambda b: torch.load(io.BytesIO(b), map_location='cpu')
-        else:
-            return super().find_class(module, name)
 
 #contents = pickle.load(f) becomes...
 #contents = CPU_Unpickler(f).load()
 
 
-checkpoint = "my_t5.sav"
+checkpoint = "finbert.sav"
 
 #load model from drive
 with open(checkpoint, "rb") as f:
-    model=  CPU_Unpickler(f).load()
+    model=  pickle.load(f)
     
 #tokenizer = AutoTokenizer.from_pretrained(checkpoint)
 #model = AutoModelForSeq2SeqLM.from_pretrained(checkpoint)