Change path for config and model

app.py

@@ -9,11 +9,14 @@ if __name__ == '__main__':
     from utils import inference_fn, get_char_probs, get_results, get_text
     import numpy as np
     import gradio as gr
+    import os
 
     device = torch.device('cpu')
+    config_path = os.path.join('models_file', 'config.pth')
+    model_path  = os.path.join('models_file', 'models_file\microsoft-deberta-base_0.9449373420387531_8_best.pth')
     tokenizer = AutoTokenizer.from_pretrained('models_file/tokenizer')
-    model = CustomModel(CFG, config_path='models_file\config.pth', pretrained=False)
-    state = torch.load('models_file\microsoft-deberta-base_0.9449373420387531_8_best.pth',
+    model = CustomModel(CFG, config_path=config_path, pretrained=False)
+    state = torch.load(model_path,
                         map_location=torch.device('cpu'))
     model.load_state_dict(state['model'])