Update README.md

README.md

@@ -25,11 +25,5 @@ This Gradio application classifies email bodies as either "Safe Email" or "Spam
 
 The application uses a pre-trained Hugging Face Transformers model for text classification. The model files (`config.json`, `pytorch_model.bin`,'special_tokens_map.json', 'tokenizer_config.json', 'vocab.txt') should be located in the `./model` directory. The tokenizer files are also required, and will be downloaded if they are not already present.
 
-## Notes
-
-* Ensure you have a stable internet connection if the application needs to download the tokenizer.
-* The accuracy of the predictions depends on the quality and training of the underlying model.
-* For optimal performance, ensure that the model files are compatible with the `transformers` library.
-* If the model files are not in the model directory, the application will attempt to download the tokenizer from the Hugging Face model hub. Ensure that the model name used in the app.py file is correct.
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference