Update app.py

app.py

@@ -177,8 +177,14 @@ else:
     #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"
+    model_name = "Reyad-Ahmmed/hf-data-timeframe"
+
+    # Load the tokenizer from the subdirectory
+    tokenizer_save_path = AutoTokenizer.from_pretrained(model_name, subfolder="data-timeframe_tokenizer")
+    
+    # Load the model from the subdirectory
+    model_save_path = AutoModel.from_pretrained(model_name, subfolder="data-timeframe_model")
+
 
     # RobertaTokenizer.from_pretrained(model_save_path)
     model = AutoModelForSequenceClassification.from_pretrained(model_save_path).to('cpu')