diff --git a/catalyst/README.md b/catalyst/README.md
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--- a/catalyst/README.md
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-# Catalyst with Comet
-
-The example `comet_catalyst_example.py` in this folder shows an example of including `import comet_ml` in a Catalyst script and then running as usual.
-
-It is recommended to set enviornment variables before running the code with the following commands:
-
-To run:
-
-```python
-python comet_catalyst_example.py
-```
-
-And insert your API Key to the textbox.
-
-Link to example project: https://www.comet.ml/comet-integrations/comet-catalyst-example/view/new/panels
diff --git a/catalyst/comet_catalyst_example.py b/catalyst/comet_catalyst_example.py
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--- a/catalyst/comet_catalyst_example.py
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-# coding: utf-8
-
-import os
-
-import comet_ml
-
-from torch import nn, optim
-from torch.utils.data import DataLoader
-
-from catalyst import dl
-from catalyst.contrib.datasets import MNIST
-from catalyst.data import ToTensor
-from catalyst.loggers.comet import CometLogger
-
-comet_ml.login()
-logger = CometLogger(logging_frequency=10)
-
-model = nn.Sequential(nn.Flatten(), nn.Linear(28 * 28, 10))
-criterion = nn.CrossEntropyLoss()
-optimizer = optim.Adam(model.parameters(), lr=0.02)
-
-
-loaders = {
-    "train": DataLoader(
-        MNIST(os.getcwd(), train=True, download=True, transform=ToTensor()),
-        batch_size=32,
-    ),
-    "valid": DataLoader(
-        MNIST(os.getcwd(), train=False, download=True, transform=ToTensor()),
-        batch_size=32,
-    ),
-}
-
-runner = dl.SupervisedRunner(
-    input_key="features", output_key="logits", target_key="targets", loss_key="loss"
-)
-
-# model training
-runner.train(
-    model=model,
-    criterion=criterion,
-    optimizer=optimizer,
-    loaders=loaders,
-    num_epochs=1,
-    hparams={
-        "lr": 0.02,
-        "betas": (0.9, 0.999),
-        "eps": 1e-08,
-        "weight_decay": 0,
-        "amsgrad": False,
-    },
-    callbacks=[
-        dl.AccuracyCallback(
-            input_key="logits", target_key="targets", topk_args=(1, 3, 5)
-        ),
-        dl.PrecisionRecallF1SupportCallback(
-            input_key="logits", target_key="targets", num_classes=10
-        ),
-    ],
-    logdir="./logs",
-    valid_loader="valid",
-    valid_metric="loss",
-    minimize_valid_metric=True,
-    verbose=True,
-    load_best_on_end=True,
-    loggers={"comet": logger},
-)
diff --git a/catalyst/requirement.txt b/catalyst/requirement.txt
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-comet_ml
-os
-torch
-catalyst
\ No newline at end of file