diff --git a/examples/auto-ml/igel.yaml b/examples/auto-ml/igel.yaml
new file mode 100644
index 0000000..00da37d
--- /dev/null
+++ b/examples/auto-ml/igel.yaml
@@ -0,0 +1,8 @@
+
+
+model:
+    type: ImageClassification
+    arguments:
+        max_trials: 1
+target:
+    - label
diff --git a/igel/__main__.py b/igel/__main__.py
index 59dae03..17f3004 100644
--- a/igel/__main__.py
+++ b/igel/__main__.py
@@ -4,10 +4,11 @@
 import subprocess
 from pathlib import Path
 
-import igel
 import click
+import igel
 import pandas as pd
 from igel import Igel, metrics_dict
+from igel.cnn import IgelCNN
 from igel.constants import Constants
 from igel.servers import fastapi_server
 from igel.utils import print_models_overview, show_model_info, tableize
@@ -15,6 +16,7 @@
 logger = logging.getLogger(__name__)
 CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"])
 
+
 @click.group()
 def cli():
     """
@@ -71,6 +73,23 @@ def fit(data_path: str, yaml_path: str) -> None:
     Igel(cmd="fit", data_path=data_path, yaml_path=yaml_path)
 
 
+@cli.command(context_settings=CONTEXT_SETTINGS)
+@click.option(
+    "--data_path", "-dp", required=True, help="Path to your training dataset"
+)
+@click.option(
+    "--yaml_path",
+    "-yml",
+    required=True,
+    help="Path to your igel configuration file (yaml or json file)",
+)
+def auto_train(data_path: str, yaml_path: str) -> None:
+    """
+    Automatically search for and train a suitable deep neural network for a task
+    """
+    IgelCNN(cmd="train", data_path=data_path, yaml_path=yaml_path)
+
+
 @cli.command(context_settings=CONTEXT_SETTINGS)
 @click.option(
     "--data_path", "-dp", required=True, help="Path to your evaluation dataset"
@@ -82,6 +101,17 @@ def evaluate(data_path: str) -> None:
     Igel(cmd="evaluate", data_path=data_path)
 
 
+@cli.command(context_settings=CONTEXT_SETTINGS)
+@click.option(
+    "--data_path", "-dp", required=True, help="Path to your evaluation dataset"
+)
+def auto_evaluate(data_path: str) -> None:
+    """
+    Evaluate the performance of an existing machine learning model
+    """
+    IgelCNN(cmd="evaluate", data_path=data_path)
+
+
 @cli.command(context_settings=CONTEXT_SETTINGS)
 @click.option("--data_path", "-dp", required=True, help="Path to your dataset")
 def predict(data_path: str) -> None:
@@ -90,7 +120,16 @@ def predict(data_path: str) -> None:
     """
     Igel(cmd="predict", data_path=data_path)
 
-    
+
+@cli.command(context_settings=CONTEXT_SETTINGS)
+@click.option("--data_path", "-dp", required=True, help="Path to your dataset")
+def auto_predict(data_path: str) -> None:
+    """
+    Use an existing machine learning model to generate predictions
+    """
+    IgelCNN(cmd="predict", data_path=data_path)
+
+
 @cli.command(context_settings=CONTEXT_SETTINGS)
 @click.option(
     "--data_paths",
@@ -115,7 +154,32 @@ def experiment(data_paths: str, yaml_path: str) -> None:
     Igel(cmd="evaluate", data_path=eval_data_path)
     Igel(cmd="predict", data_path=pred_data_path)
 
-   
+
+@cli.command(context_settings=CONTEXT_SETTINGS)
+@click.option(
+    "--data_paths",
+    "-DP",
+    required=True,
+    help="Path to your datasets as string separated by space",
+)
+@click.option(
+    "--yaml_path",
+    "-yml",
+    required=True,
+    help="Path to your igel configuration file (yaml or json file)",
+)
+def auto_experiment(data_paths: str, yaml_path: str) -> None:
+    """
+    train, evaluate and use pre-trained model for predictions in one command
+    """
+    train_data_path, eval_data_path, pred_data_path = data_paths.strip().split(
+        " "
+    )
+    IgelCNN(cmd="train", data_path=train_data_path, yaml_path=yaml_path)
+    IgelCNN(cmd="evaluate", data_path=eval_data_path)
+    IgelCNN(cmd="predict", data_path=pred_data_path)
+
+
 @cli.command(context_settings=CONTEXT_SETTINGS)
 @click.option(
     "--model_results_dir",
@@ -212,20 +276,20 @@ def gui():
     logger.info("running igel UI...")
     subprocess.check_call("npm start", shell=True)
 
-    
+
 @cli.command(context_settings=CONTEXT_SETTINGS)
 def help():
     """get help about how to use igel"""
     with click.Context(cli) as ctx:
         click.echo(cli.get_help(ctx))
 
-        
+
 @cli.command(context_settings=CONTEXT_SETTINGS)
 def version():
     """get the version of igel installed on your machine"""
     print(f"igel version: {igel.__version__}")
 
-    
+
 @cli.command(context_settings=CONTEXT_SETTINGS)
 def info():
     """get info & metadata about igel"""
@@ -247,4 +311,3 @@ def info():
         operating system:       independent
     """
     )
-
diff --git a/igel/cnn/__init__.py b/igel/cnn/__init__.py
index e69de29..0a97e9e 100644
--- a/igel/cnn/__init__.py
+++ b/igel/cnn/__init__.py
@@ -0,0 +1,3 @@
+from .cnn import IgelCNN
+
+__all__ = ["IgelCNN"]
diff --git a/igel/cnn/cnn.py b/igel/cnn/cnn.py
new file mode 100644
index 0000000..c7c8b9b
--- /dev/null
+++ b/igel/cnn/cnn.py
@@ -0,0 +1,135 @@
+import json
+import logging
+import os
+
+import autokeras as ak
+import numpy as np
+import pandas as pd
+from igel.cnn.defaults import Defaults
+from igel.cnn.models import Models
+from igel.constants import Constants
+from igel.utils import read_json, read_yaml
+from tensorflow.keras.preprocessing import image
+
+logger = logging.getLogger(__name__)
+
+
+class IgelCNN:
+    defaults = Defaults()
+    x = None
+    y = None
+    model = None
+    results_path = Constants.results_dir
+
+    def __init__(self, **cli_args):
+        self.cmd: str = cli_args.get("cmd")
+        self.data_path: str = cli_args.get("data_path")
+        self.config_path: str = cli_args.get("yaml_path")
+        logger.info(f"Executing command: {self.cmd}")
+        logger.info(f"Reading data from: {self.data_path}")
+        logger.info(f"Reading yaml configs from: {self.config_path}")
+
+        if self.cmd == "train":
+            self.file_ext: str = self.config_path.split(".")[1]
+
+            if self.file_ext != "yaml" and self.file_ext != "json":
+                raise Exception(
+                    "Configuration file can be a yaml or a json file!"
+                )
+
+            self.configs: dict = (
+                read_json(self.config_path)
+                if self.file_ext == "json"
+                else read_yaml(self.config_path)
+            )
+
+            self.dataset_props: dict = self.configs.get(
+                "dataset", self.defaults.dataset_props
+            )
+            self.model_props: dict = self.configs.get(
+                "model", self.defaults.model_props
+            )
+            self.target: list = self.configs.get("target")
+            self.model_type = self.model_props.get("type")
+            self.model_args = self.model_props.get("arguments")
+
+        else:
+            self.model_path = cli_args.get(
+                "model_path", self.defaults.model_path
+            )
+            logger.info(f"path of the pre-fitted model => {self.model_path}")
+            self.prediction_file = cli_args.get(
+                "prediction_file", self.defaults.prediction_file
+            )
+            # set description.json if provided:
+            self.description_file = cli_args.get(
+                "description_file", self.defaults.description_file
+            )
+            # load description file to read stored training parameters
+            with open(self.description_file) as f:
+                dic = json.load(f)
+                self.target: list = dic.get(
+                    "target"
+                )  # target to predict as a list
+                self.model_type: str = dic.get("type")  # type of the model
+                self.dataset_props: dict = dic.get(
+                    "dataset_props"
+                )  # dataset props entered while fitting
+        getattr(self, self.cmd)()
+
+    def _create_model(self, *args, **kwargs):
+        model_cls = Models.get(self.model_type)
+        model = (
+            model_cls() if not self.model_args else model_cls(**self.model_args)
+        )
+        return model
+
+    def _convert_img_to_np_array(self, paths):
+
+        images = []
+        logger.info(f"Reading images and converting them to arrays...")
+        for path in paths:
+            img = image.load_img(path, grayscale=True)
+            img_arr = np.asarray(img)
+            images.append(img_arr)
+        return np.array(images)
+
+    def _read_dataset(self):
+        # read_data_options = self.dataset_props.get("read_data_options", {})
+        # dataset = pd.read_csv(self.data_path, **read_data_options)
+        # logger.info(f"dataset shape: {dataset.shape}")
+        # attributes = list(dataset.columns)
+        # logger.info(f"dataset attributes: {attributes}")
+        # y = pd.concat([dataset.pop(x) for x in self.target], axis=1)
+        # logger.info(f"x shape: {dataset.shape} | y shape: {y.shape}")
+        # x = dataset.to_numpy()
+        # num_images = x.shape[0]
+        # x = x.reshape((num_images,))
+        # self.x = self._convert_img_to_np_array(x)
+        # self.y = y.to_numpy()
+        # logger.info(
+        #     f"After reading images: x shape {self.x.shape} | y shape: {self.y.shape}"
+        # )
+        train_data = ak.image_dataset_from_directory(
+            self.data_path, subset="training", validation_split=0.2, seed=42
+        )
+        return train_data  # self.x, self.y
+
+    def save_model(self, model):
+        exp_model = model.export_model()
+        logger.info(f"model type: {type(exp_model)}")
+        try:
+            exp_model.save("model", save_format="tf")
+            return True
+        except Exception:
+            exp_model.save(f"model.h5")
+
+    def train(self):
+        train_data = self._read_dataset()
+        self.model = self._create_model()
+        logger.info(f"executing a {self.model.__class__.__name__} algorithm...")
+        logger.info(f"Training started...")
+        self.model.fit(train_data)
+        saved = self.save_model(self.model)
+        if saved:
+            logger.info(f"model saved successfully")
diff --git a/igel/cnn/defaults.py b/igel/cnn/defaults.py
index b1b8431..e24bfdd 100644
--- a/igel/cnn/defaults.py
+++ b/igel/cnn/defaults.py
@@ -1,2 +1,21 @@
+from igel.configs import configs
+
+
 class Defaults:
-    pass
+    dataset_props = {}
+    model_props = {}
+    available_commands = ("fit", "evaluate", "predict", "experiment")
+    supported_types = ("regression", "classification", "clustering")
+    results_path = configs.get("results_path")  # path to the results folder
+    model_path = configs.get(
+        "default_model_path"
+    )  # path to the pre-fitted model
+    description_file = configs.get(
+        "description_file"
+    )  # path to the description.json file
+    evaluation_file = configs.get(
+        "evaluation_file"
+    )  # path to the evaluation.json file
+    prediction_file = configs.get(
+        "prediction_file"
+    )  # path to the predictions.csv
diff --git a/igel/cnn/example.py b/igel/cnn/example.py
new file mode 100644
index 0000000..0c5ef07
--- /dev/null
+++ b/igel/cnn/example.py
@@ -0,0 +1,9 @@
+import autokeras as ak
+import tensorflow as tf
+from tensorflow.keras.datasets import mnist
+from tensorflow.keras.models import load_model
+
+(x_train, y_train), (x_test, y_test) = mnist.load_data()
+
+cls = ak.ImageClassifier()
+cls.fit(x_train, y_train)
diff --git a/igel/cnn/model.py b/igel/cnn/model.py
deleted file mode 100644
index 895114f..0000000
--- a/igel/cnn/model.py
+++ /dev/null
@@ -1,9 +0,0 @@
-import autokeras as ak
-from defaults import Defaults
-
-
-class CNN:
-    defaults = Defaults()
-
-    def __init__(self):
-        pass
diff --git a/igel/cnn/models.py b/igel/cnn/models.py
new file mode 100644
index 0000000..ab0595c
--- /dev/null
+++ b/igel/cnn/models.py
@@ -0,0 +1,39 @@
+import autokeras as ak
+
+
+class Models:
+    models_map = {
+        "ImageClassification": {
+            "class": ak.ImageClassifier,
+            "link": "https://autokeras.com/image_classifier/",
+        },
+        "ImageRegression": {
+            "class": ak.ImageRegressor,
+            "link": "https://autokeras.com/image_regressor/",
+        },
+        "TextClassification": {
+            "class": ak.TextClassifier,
+            "link": "https://autokeras.com/text_classifier/",
+        },
+        "TextRegression": {
+            "class": ak.TextRegressor,
+            "link": "https://autokeras.com/text_regressor/",
+        },
+        "StructuredDataClassification": {
+            "class": ak.StructuredDataClassifier,
+            "link": "https://autokeras.com/structured_data_classifier/",
+        },
+        "StructuredDataRegression": {
+            "class": ak.StructuredDataRegressor,
+            "link": "https://autokeras.com/structured_data_regressor/",
+        },
+    }
+
+    @classmethod
+    def get(cls, model_type: str, *args, **kwargs):
+        if model_type not in cls.models_map.keys():
+            raise Exception(
+                f"{model_type} is not supported! "
+                f"Choose one of the following supported tasks: {cls.models_map.keys()}"
+            )
+        return cls.models_map[model_type]["class"]
diff --git a/igel/constants.py b/igel/constants.py
index 4627b2e..9df4df0 100644
--- a/igel/constants.py
+++ b/igel/constants.py
@@ -4,6 +4,7 @@ class Constants:
     description_file = "description.json"
     prediction_file = "predictions.csv"
     stats_dir = "model_results"
+    results_dir = "model_results"
     init_file = "igel.yaml"
     post_req_data_file = "post_req_data.csv"
     evaluation_file = "evaluation.json"
diff --git a/poetry.lock b/poetry.lock
index 442c658..3952458 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -316,11 +316,11 @@ smmap = ">=3.0.1,<5"
 
 [[package]]
 name = "gitpython"
-version = "3.1.20"
-description = "Python Git Library"
+version = "3.1.23"
+description = "GitPython is a python library used to interact with Git repositories"
 category = "dev"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 
 [package.dependencies]
 gitdb = ">=4.0.1,<5"
@@ -336,7 +336,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "identify"
-version = "2.2.13"
+version = "2.2.14"
 description = "File identification library for Python"
 category = "dev"
 optional = false
@@ -435,7 +435,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "keyring"
-version = "23.1.0"
+version = "23.2.1"
 description = "Store and access your passwords safely."
 category = "dev"
 optional = false
@@ -477,7 +477,7 @@ python-versions = "*"
 
 [[package]]
 name = "more-itertools"
-version = "8.8.0"
+version = "8.9.0"
 description = "More routines for operating on iterables, beyond itertools"
 category = "dev"
 optional = false
@@ -575,6 +575,14 @@ category = "dev"
 optional = false
 python-versions = ">=2.6"
 
+[[package]]
+name = "pillow"
+version = "8.3.2"
+description = "Python Imaging Library (Fork)"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "pkginfo"
 version = "1.7.1"
@@ -588,7 +596,7 @@ testing = ["nose", "coverage"]
 
 [[package]]
 name = "platformdirs"
-version = "2.2.0"
+version = "2.3.0"
 description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 category = "dev"
 optional = false
@@ -611,7 +619,7 @@ dev = ["pre-commit", "tox"]
 
 [[package]]
 name = "pre-commit"
-version = "2.14.1"
+version = "2.15.0"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 category = "dev"
 optional = false
@@ -774,7 +782,7 @@ python-versions = "*"
 
 [[package]]
 name = "pyupgrade"
-version = "2.25.0"
+version = "2.25.1"
 description = "A tool to automatically upgrade syntax for newer versions."
 category = "dev"
 optional = false
@@ -1277,7 +1285,7 @@ testing = ["pytest (>=4.6)", "pytest-checkdocs (>=2.4)", "pytest-flake8", "pytes
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.8"
-content-hash = "365cc53c4939f28fa3a77b01169abdf8947f773a15c7ee6857213f60630079b3"
+content-hash = "59d3f626560f9dc968d9673ce862e92bb867673b3dfb7332dd251717b23bc3d6"
 
 [metadata.files]
 alabaster = [
@@ -1479,16 +1487,16 @@ gitdb = [
     {file = "gitdb-4.0.7.tar.gz", hash = "sha256:96bf5c08b157a666fec41129e6d327235284cca4c81e92109260f353ba138005"},
 ]
 gitpython = [
-    {file = "GitPython-3.1.20-py3-none-any.whl", hash = "sha256:b1e1c269deab1b08ce65403cf14e10d2ef1f6c89e33ea7c5e5bb0222ea593b8a"},
-    {file = "GitPython-3.1.20.tar.gz", hash = "sha256:df0e072a200703a65387b0cfdf0466e3bab729c0458cf6b7349d0e9877636519"},
+    {file = "GitPython-3.1.23-py3-none-any.whl", hash = "sha256:de2e2aff068097b23d6dca5daf588078fd8996a4218f6ffa704a662c2b54f9ac"},
+    {file = "GitPython-3.1.23.tar.gz", hash = "sha256:aaae7a3bfdf0a6db30dc1f3aeae47b71cd326d86b936fe2e158aa925fdf1471c"},
 ]
 h11 = [
     {file = "h11-0.12.0-py3-none-any.whl", hash = "sha256:36a3cb8c0a032f56e2da7084577878a035d3b61d104230d4bd49c0c6b555a9c6"},
     {file = "h11-0.12.0.tar.gz", hash = "sha256:47222cb6067e4a307d535814917cd98fd0a57b6788ce715755fa2b6c28b56042"},
 ]
 identify = [
-    {file = "identify-2.2.13-py2.py3-none-any.whl", hash = "sha256:7199679b5be13a6b40e6e19ea473e789b11b4e3b60986499b1f589ffb03c217c"},
-    {file = "identify-2.2.13.tar.gz", hash = "sha256:7bc6e829392bd017236531963d2d937d66fc27cadc643ac0aba2ce9f26157c79"},
+    {file = "identify-2.2.14-py2.py3-none-any.whl", hash = "sha256:113a76a6ba614d2a3dd408b3504446bcfac0370da5995aa6a17fd7c6dffde02d"},
+    {file = "identify-2.2.14.tar.gz", hash = "sha256:32f465f3c48083f345ad29a9df8419a4ce0674bf4a8c3245191d65c83634bdbf"},
 ]
 idna = [
     {file = "idna-3.2-py3-none-any.whl", hash = "sha256:14475042e284991034cb48e06f6851428fb14c4dc953acd9be9a5e95c7b6dd7a"},
@@ -1523,8 +1531,8 @@ joblib = [
     {file = "joblib-0.16.0.tar.gz", hash = "sha256:8f52bf24c64b608bf0b2563e0e47d6fcf516abc8cfafe10cfd98ad66d94f92d6"},
 ]
 keyring = [
-    {file = "keyring-23.1.0-py3-none-any.whl", hash = "sha256:b32397fd7e7063f8dd74a26db910c9862fc2109285fa16e3b5208bcb42a3e579"},
-    {file = "keyring-23.1.0.tar.gz", hash = "sha256:b7e0156667f5dcc73c1f63a518005cd18a4eb23fe77321194fefcc03748b21a4"},
+    {file = "keyring-23.2.1-py3-none-any.whl", hash = "sha256:bd2145a237ed70c8ce72978b497619ddfcae640b6dcf494402d5143e37755c6e"},
+    {file = "keyring-23.2.1.tar.gz", hash = "sha256:6334aee6073db2fb1f30892697b1730105b5e9a77ce7e61fca6b435225493efe"},
 ]
 lazy-object-proxy = [
     {file = "lazy-object-proxy-1.6.0.tar.gz", hash = "sha256:489000d368377571c6f982fba6497f2aa13c6d1facc40660963da62f5c379726"},
@@ -1551,22 +1559,12 @@ lazy-object-proxy = [
     {file = "lazy_object_proxy-1.6.0-cp39-cp39-win_amd64.whl", hash = "sha256:f5144c75445ae3ca2057faac03fda5a902eff196702b0a24daf1d6ce0650514b"},
 ]
 markupsafe = [
-    {file = "MarkupSafe-2.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d8446c54dc28c01e5a2dbac5a25f071f6653e6e40f3a8818e8b45d790fe6ef53"},
-    {file = "MarkupSafe-2.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:36bc903cbb393720fad60fc28c10de6acf10dc6cc883f3e24ee4012371399a38"},
-    {file = "MarkupSafe-2.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d7d807855b419fc2ed3e631034685db6079889a1f01d5d9dac950f764da3dad"},
-    {file = "MarkupSafe-2.0.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:add36cb2dbb8b736611303cd3bfcee00afd96471b09cda130da3581cbdc56a6d"},
-    {file = "MarkupSafe-2.0.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:168cd0a3642de83558a5153c8bd34f175a9a6e7f6dc6384b9655d2697312a646"},
-    {file = "MarkupSafe-2.0.1-cp310-cp310-win32.whl", hash = "sha256:99df47edb6bda1249d3e80fdabb1dab8c08ef3975f69aed437cb69d0a5de1e28"},
-    {file = "MarkupSafe-2.0.1-cp310-cp310-win_amd64.whl", hash = "sha256:e0f138900af21926a02425cf736db95be9f4af72ba1bb21453432a07f6082134"},
     {file = "MarkupSafe-2.0.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:f9081981fe268bd86831e5c75f7de206ef275defcb82bc70740ae6dc507aee51"},
     {file = "MarkupSafe-2.0.1-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:0955295dd5eec6cb6cc2fe1698f4c6d84af2e92de33fbcac4111913cd100a6ff"},
     {file = "MarkupSafe-2.0.1-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:0446679737af14f45767963a1a9ef7620189912317d095f2d9ffa183a4d25d2b"},
     {file = "MarkupSafe-2.0.1-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:f826e31d18b516f653fe296d967d700fddad5901ae07c622bb3705955e1faa94"},
     {file = "MarkupSafe-2.0.1-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:fa130dd50c57d53368c9d59395cb5526eda596d3ffe36666cd81a44d56e48872"},
     {file = "MarkupSafe-2.0.1-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:905fec760bd2fa1388bb5b489ee8ee5f7291d692638ea5f67982d968366bef9f"},
-    {file = "MarkupSafe-2.0.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bf5d821ffabf0ef3533c39c518f3357b171a1651c1ff6827325e4489b0e46c3c"},
-    {file = "MarkupSafe-2.0.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:0d4b31cc67ab36e3392bbf3862cfbadac3db12bdd8b02a2731f509ed5b829724"},
-    {file = "MarkupSafe-2.0.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:baa1a4e8f868845af802979fcdbf0bb11f94f1cb7ced4c4b8a351bb60d108145"},
     {file = "MarkupSafe-2.0.1-cp36-cp36m-win32.whl", hash = "sha256:6c4ca60fa24e85fe25b912b01e62cb969d69a23a5d5867682dd3e80b5b02581d"},
     {file = "MarkupSafe-2.0.1-cp36-cp36m-win_amd64.whl", hash = "sha256:b2f4bf27480f5e5e8ce285a8c8fd176c0b03e93dcc6646477d4630e83440c6a9"},
     {file = "MarkupSafe-2.0.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:0717a7390a68be14b8c793ba258e075c6f4ca819f15edfc2a3a027c823718567"},
@@ -1575,21 +1573,14 @@ markupsafe = [
     {file = "MarkupSafe-2.0.1-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:d7f9850398e85aba693bb640262d3611788b1f29a79f0c93c565694658f4071f"},
     {file = "MarkupSafe-2.0.1-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:6a7fae0dd14cf60ad5ff42baa2e95727c3d81ded453457771d02b7d2b3f9c0c2"},
     {file = "MarkupSafe-2.0.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:b7f2d075102dc8c794cbde1947378051c4e5180d52d276987b8d28a3bd58c17d"},
-    {file = "MarkupSafe-2.0.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e9936f0b261d4df76ad22f8fee3ae83b60d7c3e871292cd42f40b81b70afae85"},
-    {file = "MarkupSafe-2.0.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:2a7d351cbd8cfeb19ca00de495e224dea7e7d919659c2841bbb7f420ad03e2d6"},
-    {file = "MarkupSafe-2.0.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:60bf42e36abfaf9aff1f50f52644b336d4f0a3fd6d8a60ca0d054ac9f713a864"},
     {file = "MarkupSafe-2.0.1-cp37-cp37m-win32.whl", hash = "sha256:a30e67a65b53ea0a5e62fe23682cfe22712e01f453b95233b25502f7c61cb415"},
     {file = "MarkupSafe-2.0.1-cp37-cp37m-win_amd64.whl", hash = "sha256:611d1ad9a4288cf3e3c16014564df047fe08410e628f89805e475368bd304914"},
-    {file = "MarkupSafe-2.0.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:5bb28c636d87e840583ee3adeb78172efc47c8b26127267f54a9c0ec251d41a9"},
     {file = "MarkupSafe-2.0.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:be98f628055368795d818ebf93da628541e10b75b41c559fdf36d104c5787066"},
     {file = "MarkupSafe-2.0.1-cp38-cp38-manylinux1_i686.whl", hash = "sha256:1d609f577dc6e1aa17d746f8bd3c31aa4d258f4070d61b2aa5c4166c1539de35"},
     {file = "MarkupSafe-2.0.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:7d91275b0245b1da4d4cfa07e0faedd5b0812efc15b702576d103293e252af1b"},
     {file = "MarkupSafe-2.0.1-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:01a9b8ea66f1658938f65b93a85ebe8bc016e6769611be228d797c9d998dd298"},
     {file = "MarkupSafe-2.0.1-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:47ab1e7b91c098ab893b828deafa1203de86d0bc6ab587b160f78fe6c4011f75"},
     {file = "MarkupSafe-2.0.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:97383d78eb34da7e1fa37dd273c20ad4320929af65d156e35a5e2d89566d9dfb"},
-    {file = "MarkupSafe-2.0.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fcf051089389abe060c9cd7caa212c707e58153afa2c649f00346ce6d260f1b"},
-    {file = "MarkupSafe-2.0.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:5855f8438a7d1d458206a2466bf82b0f104a3724bf96a1c781ab731e4201731a"},
-    {file = "MarkupSafe-2.0.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:3dd007d54ee88b46be476e293f48c85048603f5f516008bee124ddd891398ed6"},
     {file = "MarkupSafe-2.0.1-cp38-cp38-win32.whl", hash = "sha256:023cb26ec21ece8dc3907c0e8320058b2e0cb3c55cf9564da612bc325bed5e64"},
     {file = "MarkupSafe-2.0.1-cp38-cp38-win_amd64.whl", hash = "sha256:984d76483eb32f1bcb536dc27e4ad56bba4baa70be32fa87152832cdd9db0833"},
     {file = "MarkupSafe-2.0.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:2ef54abee730b502252bcdf31b10dacb0a416229b72c18b19e24a4509f273d26"},
@@ -1599,9 +1590,6 @@ markupsafe = [
     {file = "MarkupSafe-2.0.1-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:4efca8f86c54b22348a5467704e3fec767b2db12fc39c6d963168ab1d3fc9135"},
     {file = "MarkupSafe-2.0.1-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:ab3ef638ace319fa26553db0624c4699e31a28bb2a835c5faca8f8acf6a5a902"},
     {file = "MarkupSafe-2.0.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:f8ba0e8349a38d3001fae7eadded3f6606f0da5d748ee53cc1dab1d6527b9509"},
-    {file = "MarkupSafe-2.0.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c47adbc92fc1bb2b3274c4b3a43ae0e4573d9fbff4f54cd484555edbf030baf1"},
-    {file = "MarkupSafe-2.0.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:37205cac2a79194e3750b0af2a5720d95f786a55ce7df90c3af697bfa100eaac"},
-    {file = "MarkupSafe-2.0.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1f2ade76b9903f39aa442b4aadd2177decb66525062db244b35d71d0ee8599b6"},
     {file = "MarkupSafe-2.0.1-cp39-cp39-win32.whl", hash = "sha256:10f82115e21dc0dfec9ab5c0223652f7197feb168c940f3ef61563fc2d6beb74"},
     {file = "MarkupSafe-2.0.1-cp39-cp39-win_amd64.whl", hash = "sha256:693ce3f9e70a6cf7d2fb9e6c9d8b204b6b39897a2c4a1aa65728d5ac97dcc1d8"},
     {file = "MarkupSafe-2.0.1.tar.gz", hash = "sha256:594c67807fb16238b30c44bdf74f36c02cdf22d1c8cda91ef8a0ed8dabf5620a"},
@@ -1611,8 +1599,8 @@ mccabe = [
     {file = "mccabe-0.6.1.tar.gz", hash = "sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f"},
 ]
 more-itertools = [
-    {file = "more-itertools-8.8.0.tar.gz", hash = "sha256:83f0308e05477c68f56ea3a888172c78ed5d5b3c282addb67508e7ba6c8f813a"},
-    {file = "more_itertools-8.8.0-py3-none-any.whl", hash = "sha256:2cf89ec599962f2ddc4d568a05defc40e0a587fbc10d5989713638864c36be4d"},
+    {file = "more-itertools-8.9.0.tar.gz", hash = "sha256:8c746e0d09871661520da4f1241ba6b908dc903839733c8203b552cffaf173bd"},
+    {file = "more_itertools-8.9.0-py3-none-any.whl", hash = "sha256:70401259e46e216056367a0a6034ee3d3f95e0bf59d3aa6a4eb77837171ed996"},
 ]
 mypy = [
     {file = "mypy-0.902-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:3f12705eabdd274b98f676e3e5a89f247ea86dc1af48a2d5a2b080abac4e1243"},
@@ -1710,21 +1698,76 @@ pbr = [
     {file = "pbr-5.6.0-py2.py3-none-any.whl", hash = "sha256:c68c661ac5cc81058ac94247278eeda6d2e6aecb3e227b0387c30d277e7ef8d4"},
     {file = "pbr-5.6.0.tar.gz", hash = "sha256:42df03e7797b796625b1029c0400279c7c34fd7df24a7d7818a1abb5b38710dd"},
 ]
+pillow = [
+    {file = "Pillow-8.3.2-cp310-cp310-macosx_10_10_universal2.whl", hash = "sha256:c691b26283c3a31594683217d746f1dad59a7ae1d4cfc24626d7a064a11197d4"},
+    {file = "Pillow-8.3.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f514c2717012859ccb349c97862568fdc0479aad85b0270d6b5a6509dbc142e2"},
+    {file = "Pillow-8.3.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:be25cb93442c6d2f8702c599b51184bd3ccd83adebd08886b682173e09ef0c3f"},
+    {file = "Pillow-8.3.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d675a876b295afa114ca8bf42d7f86b5fb1298e1b6bb9a24405a3f6c8338811c"},
+    {file = "Pillow-8.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59697568a0455764a094585b2551fd76bfd6b959c9f92d4bdec9d0e14616303a"},
+    {file = "Pillow-8.3.2-cp310-cp310-win32.whl", hash = "sha256:2d5e9dc0bf1b5d9048a94c48d0813b6c96fccfa4ccf276d9c36308840f40c228"},
+    {file = "Pillow-8.3.2-cp310-cp310-win_amd64.whl", hash = "sha256:11c27e74bab423eb3c9232d97553111cc0be81b74b47165f07ebfdd29d825875"},
+    {file = "Pillow-8.3.2-cp36-cp36m-macosx_10_10_x86_64.whl", hash = "sha256:11eb7f98165d56042545c9e6db3ce394ed8b45089a67124298f0473b29cb60b2"},
+    {file = "Pillow-8.3.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2f23b2d3079522fdf3c09de6517f625f7a964f916c956527bed805ac043799b8"},
+    {file = "Pillow-8.3.2-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:19ec4cfe4b961edc249b0e04b5618666c23a83bc35842dea2bfd5dfa0157f81b"},
+    {file = "Pillow-8.3.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e5a31c07cea5edbaeb4bdba6f2b87db7d3dc0f446f379d907e51cc70ea375629"},
+    {file = "Pillow-8.3.2-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:15ccb81a6ffc57ea0137f9f3ac2737ffa1d11f786244d719639df17476d399a7"},
+    {file = "Pillow-8.3.2-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:8f284dc1695caf71a74f24993b7c7473d77bc760be45f776a2c2f4e04c170550"},
+    {file = "Pillow-8.3.2-cp36-cp36m-win32.whl", hash = "sha256:4abc247b31a98f29e5224f2d31ef15f86a71f79c7f4d2ac345a5d551d6393073"},
+    {file = "Pillow-8.3.2-cp36-cp36m-win_amd64.whl", hash = "sha256:a048dad5ed6ad1fad338c02c609b862dfaa921fcd065d747194a6805f91f2196"},
+    {file = "Pillow-8.3.2-cp37-cp37m-macosx_10_10_x86_64.whl", hash = "sha256:06d1adaa284696785375fa80a6a8eb309be722cf4ef8949518beb34487a3df71"},
+    {file = "Pillow-8.3.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bd24054aaf21e70a51e2a2a5ed1183560d3a69e6f9594a4bfe360a46f94eba83"},
+    {file = "Pillow-8.3.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:27a330bf7014ee034046db43ccbb05c766aa9e70b8d6c5260bfc38d73103b0ba"},
+    {file = "Pillow-8.3.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:13654b521fb98abdecec105ea3fb5ba863d1548c9b58831dd5105bb3873569f1"},
+    {file = "Pillow-8.3.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:a1bd983c565f92779be456ece2479840ec39d386007cd4ae83382646293d681b"},
+    {file = "Pillow-8.3.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:4326ea1e2722f3dc00ed77c36d3b5354b8fb7399fb59230249ea6d59cbed90da"},
+    {file = "Pillow-8.3.2-cp37-cp37m-win32.whl", hash = "sha256:085a90a99404b859a4b6c3daa42afde17cb3ad3115e44a75f0d7b4a32f06a6c9"},
+    {file = "Pillow-8.3.2-cp37-cp37m-win_amd64.whl", hash = "sha256:18a07a683805d32826c09acfce44a90bf474e6a66ce482b1c7fcd3757d588df3"},
+    {file = "Pillow-8.3.2-cp38-cp38-macosx_10_10_x86_64.whl", hash = "sha256:4e59e99fd680e2b8b11bbd463f3c9450ab799305d5f2bafb74fefba6ac058616"},
+    {file = "Pillow-8.3.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4d89a2e9219a526401015153c0e9dd48319ea6ab9fe3b066a20aa9aee23d9fd3"},
+    {file = "Pillow-8.3.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:56fd98c8294f57636084f4b076b75f86c57b2a63a8410c0cd172bc93695ee979"},
+    {file = "Pillow-8.3.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2b11c9d310a3522b0fd3c35667914271f570576a0e387701f370eb39d45f08a4"},
+    {file = "Pillow-8.3.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0412516dcc9de9b0a1e0ae25a280015809de8270f134cc2c1e32c4eeb397cf30"},
+    {file = "Pillow-8.3.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:bcb04ff12e79b28be6c9988f275e7ab69f01cc2ba319fb3114f87817bb7c74b6"},
+    {file = "Pillow-8.3.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:0b9911ec70731711c3b6ebcde26caea620cbdd9dcb73c67b0730c8817f24711b"},
+    {file = "Pillow-8.3.2-cp38-cp38-win32.whl", hash = "sha256:ce2e5e04bb86da6187f96d7bab3f93a7877830981b37f0287dd6479e27a10341"},
+    {file = "Pillow-8.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:35d27687f027ad25a8d0ef45dd5208ef044c588003cdcedf05afb00dbc5c2deb"},
+    {file = "Pillow-8.3.2-cp39-cp39-macosx_10_10_x86_64.whl", hash = "sha256:04835e68ef12904bc3e1fd002b33eea0779320d4346082bd5b24bec12ad9c3e9"},
+    {file = "Pillow-8.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:10e00f7336780ca7d3653cf3ac26f068fa11b5a96894ea29a64d3dc4b810d630"},
+    {file = "Pillow-8.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2cde7a4d3687f21cffdf5bb171172070bb95e02af448c4c8b2f223d783214056"},
+    {file = "Pillow-8.3.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1c3ff00110835bdda2b1e2b07f4a2548a39744bb7de5946dc8e95517c4fb2ca6"},
+    {file = "Pillow-8.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:35d409030bf3bd05fa66fb5fdedc39c521b397f61ad04309c90444e893d05f7d"},
+    {file = "Pillow-8.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6bff50ba9891be0a004ef48828e012babaaf7da204d81ab9be37480b9020a82b"},
+    {file = "Pillow-8.3.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl", hash = "sha256:7dbfbc0020aa1d9bc1b0b8bcf255a7d73f4ad0336f8fd2533fcc54a4ccfb9441"},
+    {file = "Pillow-8.3.2-cp39-cp39-win32.whl", hash = "sha256:963ebdc5365d748185fdb06daf2ac758116deecb2277ec5ae98139f93844bc09"},
+    {file = "Pillow-8.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:cc9d0dec711c914ed500f1d0d3822868760954dce98dfb0b7382a854aee55d19"},
+    {file = "Pillow-8.3.2-pp36-pypy36_pp73-macosx_10_10_x86_64.whl", hash = "sha256:2c661542c6f71dfd9dc82d9d29a8386287e82813b0375b3a02983feac69ef864"},
+    {file = "Pillow-8.3.2-pp36-pypy36_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:548794f99ff52a73a156771a0402f5e1c35285bd981046a502d7e4793e8facaa"},
+    {file = "Pillow-8.3.2-pp36-pypy36_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:8b68f565a4175e12e68ca900af8910e8fe48aaa48fd3ca853494f384e11c8bcd"},
+    {file = "Pillow-8.3.2-pp36-pypy36_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:838eb85de6d9307c19c655c726f8d13b8b646f144ca6b3771fa62b711ebf7624"},
+    {file = "Pillow-8.3.2-pp36-pypy36_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:feb5db446e96bfecfec078b943cc07744cc759893cef045aa8b8b6d6aaa8274e"},
+    {file = "Pillow-8.3.2-pp37-pypy37_pp73-macosx_10_10_x86_64.whl", hash = "sha256:fc0db32f7223b094964e71729c0361f93db43664dd1ec86d3df217853cedda87"},
+    {file = "Pillow-8.3.2-pp37-pypy37_pp73-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:fd4fd83aa912d7b89b4b4a1580d30e2a4242f3936882a3f433586e5ab97ed0d5"},
+    {file = "Pillow-8.3.2-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:d0c8ebbfd439c37624db98f3877d9ed12c137cadd99dde2d2eae0dab0bbfc355"},
+    {file = "Pillow-8.3.2-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:6cb3dd7f23b044b0737317f892d399f9e2f0b3a02b22b2c692851fb8120d82c6"},
+    {file = "Pillow-8.3.2-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a66566f8a22561fc1a88dc87606c69b84fa9ce724f99522cf922c801ec68f5c1"},
+    {file = "Pillow-8.3.2-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:ce651ca46d0202c302a535d3047c55a0131a720cf554a578fc1b8a2aff0e7d96"},
+    {file = "Pillow-8.3.2.tar.gz", hash = "sha256:dde3f3ed8d00c72631bc19cbfff8ad3b6215062a5eed402381ad365f82f0c18c"},
+]
 pkginfo = [
     {file = "pkginfo-1.7.1-py2.py3-none-any.whl", hash = "sha256:37ecd857b47e5f55949c41ed061eb51a0bee97a87c969219d144c0e023982779"},
     {file = "pkginfo-1.7.1.tar.gz", hash = "sha256:e7432f81d08adec7297633191bbf0bd47faf13cd8724c3a13250e51d542635bd"},
 ]
 platformdirs = [
-    {file = "platformdirs-2.2.0-py3-none-any.whl", hash = "sha256:4666d822218db6a262bdfdc9c39d21f23b4cfdb08af331a81e92751daf6c866c"},
-    {file = "platformdirs-2.2.0.tar.gz", hash = "sha256:632daad3ab546bd8e6af0537d09805cec458dce201bccfe23012df73332e181e"},
+    {file = "platformdirs-2.3.0-py3-none-any.whl", hash = "sha256:8003ac87717ae2c7ee1ea5a84a1a61e87f3fbd16eb5aadba194ea30a9019f648"},
+    {file = "platformdirs-2.3.0.tar.gz", hash = "sha256:15b056538719b1c94bdaccb29e5f81879c7f7f0f4a153f46086d155dffcd4f0f"},
 ]
 pluggy = [
     {file = "pluggy-0.13.1-py2.py3-none-any.whl", hash = "sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d"},
     {file = "pluggy-0.13.1.tar.gz", hash = "sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0"},
 ]
 pre-commit = [
-    {file = "pre_commit-2.14.1-py2.py3-none-any.whl", hash = "sha256:a22d12a02da4d8df314187dfe7a61bda6291d57992060522feed30c8cd658b68"},
-    {file = "pre_commit-2.14.1.tar.gz", hash = "sha256:7977a3103927932d4823178cbe4719ab55bb336f42a9f3bb2776cff99007a117"},
+    {file = "pre_commit-2.15.0-py2.py3-none-any.whl", hash = "sha256:a4ed01000afcb484d9eb8d504272e642c4c4099bbad3a6b27e519bd6a3e928a6"},
+    {file = "pre_commit-2.15.0.tar.gz", hash = "sha256:3c25add78dbdfb6a28a651780d5c311ac40dd17f160eb3954a0c59da40a505a7"},
 ]
 py = [
     {file = "py-1.10.0-py2.py3-none-any.whl", hash = "sha256:3b80836aa6d1feeaa108e046da6423ab8f6ceda6468545ae8d02d9d58d18818a"},
@@ -1799,8 +1842,8 @@ pytz = [
     {file = "pytz-2021.1.tar.gz", hash = "sha256:83a4a90894bf38e243cf052c8b58f381bfe9a7a483f6a9cab140bc7f702ac4da"},
 ]
 pyupgrade = [
-    {file = "pyupgrade-2.25.0-py2.py3-none-any.whl", hash = "sha256:8409f4a166d8fbbf475e4e63912817f8ec07c402979f9399658929ebafaa6043"},
-    {file = "pyupgrade-2.25.0.tar.gz", hash = "sha256:a61084aae26ccedd6ae98fc0cc09383ce4e11b6d519653ff5e2fd131d2023723"},
+    {file = "pyupgrade-2.25.1-py2.py3-none-any.whl", hash = "sha256:6e23f9c3c196b8e120a39d3fbad09265c3e2413a65e085b690606a45e59e8140"},
+    {file = "pyupgrade-2.25.1.tar.gz", hash = "sha256:2b541340157fc9dba0c4cac4f28804aa11fbf2aa2cad83ec05e64abec38f1fea"},
 ]
 pywin32-ctypes = [
     {file = "pywin32-ctypes-0.2.0.tar.gz", hash = "sha256:24ffc3b341d457d48e8922352130cf2644024a4ff09762a2261fd34c36ee5942"},
diff --git a/pyproject.toml b/pyproject.toml
index 639b38e..c433b6f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,6 +24,7 @@ joblib = "~=0.16.0"
 fastapi = "^0.65.2"
 uvicorn = "^0.14.0"
 click = "^8.0.1"
+Pillow = "^8.3.2"
 
 [tool.poetry.dev-dependencies]
 pip="20.2.2"