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Depressed_sentimental_analysis

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qisan commited on Jan 13, 2023

Commit

7687d77

1 Parent(s): 7ce2ced

Upload app.py

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app.py CHANGED Viewed

@@ -29,7 +29,7 @@ model.eval()
 def analyse(text):
     #text = "I'm depressed"
-    model = model.to('cpu')
     tokenizer = BertTokenizer.from_pretrained('bert-base-cased')
     encoding = tokenizer.encode_plus(text, max_length=32, add_special_tokens=True, # Add '[CLS]' and '[SEP]'
                                      return_token_type_ids=False,

 def analyse(text):
     #text = "I'm depressed"
+    #model = model.to('cpu')
     tokenizer = BertTokenizer.from_pretrained('bert-base-cased')
     encoding = tokenizer.encode_plus(text, max_length=32, add_special_tokens=True, # Add '[CLS]' and '[SEP]'
                                      return_token_type_ids=False,