Updates readme

README.md

@@ -20,37 +20,13 @@ Select the model to use for tokenization in the Jupyter notebook. You can choose
 1. Set the `text` variable to your text.
 1. Run all cells.
 
-```python
-text = 'Your text here'
-num_tokens = tokenizer_fn(text)
-print(f'Number of tokens in text: {num_tokens}')
-```
-
 ### Calculate tokens in a file
 
 1. Set the `file_path` variable to the path of your file.
 1. Run all cells.
 
-```python
-file_path = 'path/to/your/file.txt'
-num_tokens = get_num_tokens_from_file(file_path)
-print(f'{file_path}: {num_tokens}')
-```
-
 ### Calculate tokens in files in a folder
 
 1. Set the `folder_path` variable to the path of your folder.
 1. Optionally, specify a filter for which files to include.
 1. Run all cells.
-
-```python
-folder_path = 'path/to/your/folder'
-file_filter = ['.md']  # Include only files with the .md extension
-tokens_info = get_num_tokens_from_folder(folder_path, file_filter)
-
-tokens_info_df = pd.DataFrame(tokens_info, columns=['file', 'tokens'])
-tokens_info_df = tokens_info_df.sort_values(by='file')
-
-print(f'Tokens in files in folder {folder_path} using model {model_name}:\n')
-print(tokens_info_df.to_string(index=False))
-```