Update app.py

app.py

@@ -174,8 +174,11 @@ if (runModel=='1'):
     tokenizer.save_pretrained('./' + modelNameToUse + '_tokenizer')
 else:
     print('Load Pre-trained')
-    model_save_path = "./" + modelNameToUse + "_model"
-    tokenizer_save_path = "./" + modelNameToUse + "_tokenizer"
+    #model_save_path = "./" + modelNameToUse + "_model"
+    #tokenizer_save_path = "./" + modelNameToUse + "_tokenizer"
+
+    model_save_path = "Reyad-Ahmmed/hf-data-timeframe"
+    tokenizer_save_path = "Reyad-Ahmmed/hf-data-timeframe"
 
     # RobertaTokenizer.from_pretrained(model_save_path)
     model = AutoModelForSequenceClassification.from_pretrained(model_save_path).to('cpu')