Updating readme

Author: miriamkw

README.md

@@ -27,103 +27,6 @@ Python API functions are located in `loop_to_python_api/api.py`.
 `python_tests/` contains examples of executing all the functions as well as example files providing templates on how to structure the input files.
 
 
-## Usage in Python
-
-### TODO: Remove this and add examples for pypi usage instead
-
-
-Here's how you can use the dynamic library (`libLoopAlgorithmToPython.dylib`) in Python to call the exposed functions:
-
-```
-import ctypes
-import json
-
-json_file_path = 'some_file.json'
-
-# Load the shared library
-swift_lib = ctypes.CDLL('./libLoopAlgorithmToPython.dylib')
-
-# Specify the argument types and return type of the Swift function
-swift_lib.generatePrediction.argtypes = [ctypes.c_char_p]
-swift_lib.generatePrediction.restype = ctypes.POINTER(ctypes.c_double)
-
-swift_lib.getPredictionDates.argtypes = [ctypes.c_char_p]
-swift_lib.getPredictionDates.restype = ctypes.c_char_p
-
-swift_lib.getActiveCarbs.argtypes = [ctypes.c_char_p]
-swift_lib.getActiveCarbs.restype = ctypes.c_double
-
-swift_lib.getActiveInsulin.argtypes = [ctypes.c_char_p]
-swift_lib.getActiveInsulin.restype = ctypes.c_double
-
-# Read JSON file
-def read_json_file(file_path):
-    with open(file_path, 'r') as f:
-        data = json.load(f)
-    return data
-
-json_data = read_json_file(json_file_path) # Read JSON file
-json_str = json.dumps(json_data) # Convert JSON data to JSON string
-json_bytes = json_str.encode('utf-8') # Convert JSON string to bytes
-
-# Prepare a variable to receive the length of the predicted values
-length = 82
-
-# Call the Swift functions
-result_prediction_values = swift_lib.generatePrediction(json_bytes)
-result_prediction_dates = swift_lib.getPredictionDates(json_bytes).decode('utf-8')
-result_active_carbs = swift_lib.getActiveCarbs(json_bytes)
-result_active_insulin = swift_lib.getActiveInsulin(json_bytes)
-
-# Read the generated predictions
-array = [result_prediction_values[i] for i in range(length)]
-print(array[0])
-print(f"The result from generatePrediction is: {array}")
-
-# Read the dates
-date_list = result.split(',')[:-1]
-print(f"The result from getPredictionDates is: {date_list}")
-
-# Read the active carbohydrates
-print(f"The result from getActiveCarbs is: {result_active_carbs}")
-
-# Read the active insulin
-print(f"The result from getActiveInsulin is: {result_active_insulin}")
-```
-
-Adjust the paths, function names, and details as per your specific project setup and requirements.
-
-
-
-
-
-
-
-
-To do:
-- [X] add a python folder
-- [X] add a test folder
-- [X] add the dlib build script 
-  - build to python folder
-  - add readme
-- [X] write python functions api 
-- [X] write tests with example files
-- [ ] create pypi package
-- [ ] add a build script 
-  - [ ] automatically run tests on push 
-  - [ ] automatically build new dlib on push
-- [X] clean up code swift
-- [X] clean up code python
-- [ ] update readme with new changes
-  - [X] explanation, separating between python and swift code
-  - [X] example usage of the api (with signal handlers), and example inputs (refer to test files)
-  - [X] refer to example input files
-  - build, venv, run commands
-  - pypi
-  - [X] running tests
-- [ ] merge to main
-- [ ] next project: take a df as input, convert to json (or do it in tidepool study?)
-
 
 
 ## Python API Functions