fix: simplify error message for FastAPI server connection issue

feat: add Streamlit app for insurance premium category prediction

fix: correct condition check for patient deletion in delete_patient function

feat: add model.pkl for machine learning predictions

feat: implement UserInput model and prediction endpoint for insurance premium calculation

feat: update patient weight and BMI values for accuracy

feat: update patient data for accuracy and consistency

feat: refactor Patient model and enhance API endpoints for better functionality and readability

feat: implement Patient model with BMI calculation and create patient endpoint

feat: remove main1.py file containing Patient model and API endpoints

feat: implement Patient model with BMI calculation and patient creation endpoint

feat: format patients.json for improved readability

feat: add new patient entry for Rike with updated details

feat: implement Patient model with BMI calculation and verdict determination

feat: add Address and Patient models with example instantiation