import os

BASE_PATH = os.getcwd()
DAGSHUB_IMAGE_PATH = os.path.join(BASE_PATH, "task_5_streamlit/images/dagshub.png")

HEALTHY_IMAGE_ONE_PATH = os.path.join(BASE_PATH,
                                      "images/normal/IM-0001-0001.jpeg")
HEALTHY_IMAGE_TWO_PATH = os.path.join(BASE_PATH,
                                      "images/normal/IM-0003-0001.jpeg")
SICK_IMAGE_ONE_PATH = os.path.join(BASE_PATH,
                                   "images/virus/person1_virus_6.jpeg")
SICK_IMAGE_TWO_PATH = os.path.join(BASE_PATH,
                                   "images/virus/person1_virus_7.jpeg")

HEADER = "Pneumonia-Classification"
SUB_HEADER = "Classifying chest X-Ray images for Pneumonia"
SHORT_DESCRIPTION = """
This application is classifying chest X-Ray images for Pneumonia using the model implemented in the 
<a href="https://dagshub.com/nirbarazida/Pneumonia-Classification">Pneumonia-Classification </a> project.
<br>
<p>
<strong>Usage:</strong> On the sidebar, you have two options to choose from for using the model:
<ol>
        <li> You can upload your chest X-Ray image in a PNG, JPG, or JPEG format. </li>
        <li> You can choose one of the images in the `Image Pool` presented below. </li>
</ol>
</p>                    """
IMAGE_POOL_DESCRIPTION = "You can choose one of the following images in the sidebar menu " \
                         "for the model to predict for Pneumonia"

SELECT_BOX_TEXT = "Choose an image for the model to predict?"
SUPPORTED_IMG_TYPE = ["png", "jpg", "jpeg"]
WARNING_MSG = "Unfortunately we have bad news, our model detects that you have Pneumonia"
SUCCESS_MSG =  "We have GREAT news! Based on our model, you don't have Pneumonia!"

BIG_FONT= "h1"
MID_FONT= "h3"
SMALL_FONT = "p"