Initial price	£410,000
15/06/24	£390,000
Price Change	-4.88%

``` This is the output I'm getting from the provided code. I'm trying to use JTBC (Just The Best Code) to create a script that summarizes a property description into a single paragraph. The code provided is supposed to parse a property description from a real estate website and summarize it into a single paragraph. However, the output I'm getting is a single paragraph but it's a bit too long and doesn't seem to summarize the description effectively. It also includes the dimensions of the rooms which I believe should not be in the summary. How can I modify the script to get a more effective and concise summary that captures the essence of the property description without including room dimensions and measurements? Here's the expected output: ``` Sutton Kersh are delighted to offer for sale this well-presented semi-detached family home in a popular South Liverpool suburb. The property boasts well-planned accommodation over two floors, featuring a welcoming entrance hall with a handy ground floor WC, a spacious front living room, a dining room leading to a conservatory, a modern fitted kitchen, and a versatile family room with an additional WC. Upstairs, there are three good-sized bedrooms and a contemporary shower room. Outside, the property benefits from a driveway offering ample off-road parking and a generous rear garden with a decked area, complemented by a convenient electric outhouse. This beautiful family home is sure to impress and early viewings are highly recommended. ``` Comment: It seems like the provided script is not included in your question. To help you achieve the desired output, I would need to see the actual code you're using. However, I can guide you on how to modify the script to achieve a more effective summary. Typically, a summarization script would use natural language processing (NLP) techniques to identify the key elements of the text and construct a shorter version that captures the main points. If you're using a library like `transformers` with models like BERT or GPT-2/3, you can fine-tune it on real estate descriptions to focus on the most important aspects like location, property features, and amenities. Comment: The code provided in the question is the script I'm using. It's a Python script that uses regular expressions to parse and summarize the property description.