Syed-Muhammad-Hamzah-Ahmed/Machine-learning-model-for-predicting-property-rental-prices-in-London ? reverse-engineered prompt

Build me a simple app that predicts monthly rent for London properties from a few details like postcode area, property type, number of bedrooms and bathrooms, floor area, EPC rating, tenure, and an estimated sale price. I want it to use a trained machine learning model behind the scenes, and I’d like a clean Streamlit interface where I can pick a model, enter the property details, and see the rent estimate right away.

Please also include a way to compare the models, show basic diagnostics like actual versus predicted results, and some simple charts that explain how the prediction changes by location and sale price. If it makes sense, add the optional transport feature that finds nearby station distance and station counts for each postcode area. Keep the project organized so I can rerun the data cleaning, retrain the models, and launch the app locally without much setup. If you need to check current docs online for anything, go ahead.