text: # Prediction variables (classifier)
  import pymongo
  
  PREDICTION_CLASS = ['barretts',
                      'barretts-short-segment',
                      'bbps-0-1',
                      'bbps-2-3',
                      'cecum',
                      'dyed-lifted-polyps',
                      'dyed-resection-margins',
                      'esophagitis-a',
                      'esophagitis-b-d',
                      'hemorrhoids',
                      'ileum',
                      'impacted-stool',
                      'polyps',
                      'pylorus',
                      'retroflex-rectum',
                      'retroflex-stomach',
                      'ulcerative-colitis-grade-0-1',
                      'ulcerative-colitis-grade-1',
                      'ulcerative-colitis-grade-1-2',
                      'ulcerative-colitis-grade-2',
                      'ulcerative-colitis-grade-2-3',
                      'ulcerative-colitis-grade-3',
                      'z-line',
                      ]
  IMG_SIZE = 256
  LEARNING_RATE = 0.001
  COLOUR_MAP = 3
  MODEL_PATH = "models/ResNet2021_23C.h5"
  CLASS_PATH = "models/ResNet2021_23C.pkl"
  
  # app.py static var
  IMAGE_UPLOAD_PATH = r"C:\Users\Rahul Singh\PycharmProjects\ML_ModelPrediction"
  UPLOAD_EXTENSIONS = ['.jpg', '.png', ]
  SECRET_KEY = "secret key"
  
  # DB settings
  CLIENT = pymongo.MongoClient(
      "mongodb+srv://singh:CMrdUjEgM2iPZGh@cluster0.waaxg.mongodb.net/myFirstDatabase?retryWrites=true&w=majority")
  DB = CLIENT["Endoscopic_Guidance"]
  COLUMNS = DB["images"]
  
  # APP SETTINGS
  POST_METHOD = ['POST']
  GET_METHOD = ['GET']
  