tf-notify

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Want to get notified on the progress of your TensorFlow model training? Enter, a TensorFlow Keras callback to send notifications on the messaging app of your choice.

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# tf-notify

[![PyPI](https://img.shields.io/pypi/v/tf-notify?color=blue&label=PyPI&logo=PyPI&logoColor=white)](https://pypi.org/project/tf-notify/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/tf-notify?logo=python&logoColor=white)](https://www.python.org/) [![TensorFlow version](https://shields.io/badge/tensorflow-2.7%20%7C%202.8%20%7C%202.9%20-simple?logo=tensorflow&style=flat)](https://www.tensorflow.org/)
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> Want to get notified on the progress of your TensorFlow model training?

This package provides a [tf.keras](https://www.tensorflow.org/api_docs/python/tf/keras/callbacks/Callback) callback to send notifications to a messaging app of your choice.

## Install

The recommended installation is via `pip`:

```bash
pip install tf-notify
```

## Supported Apps

The following apps are currently supported. But, do check the project frequently, as many more will soon be supported!

<table>
  <tr>
    <td>
      <img src="https://raw.githubusercontent.com/ilias-ant/tf-notify/main/static/logos/slack.png" height="128" width="128" style="max-height: 128px; max-width: 128px;"><a href="https://tf-notify.readthedocs.io/en/latest/api/#tf_notify.callbacks.slack.SlackCallback">Slack</a>
    </td>
   <td>
      <img src="https://raw.githubusercontent.com/ilias-ant/tf-notify/main/static/logos/telegram.png" height="128" width="128" style="max-height: 128px; max-width: 128px;"><a href="https://tf-notify.readthedocs.io/en/latest/api/#tf_notify.callbacks.telegram.TelegramCallback">Telegram</a>
    </td>
   <td>
      <img src="https://raw.githubusercontent.com/ilias-ant/tf-notify/main/static/logos/email.png" height="128" width="128" style="max-height: 128px; max-width: 128px;"><a href="https://tf-notify.readthedocs.io/en/latest/api/#tf_notify.callbacks.email.EmailCallback">Email (SMTP)</a>
    </td>
  </tr>
</table>

## Usage

```python
import tensorflow as tf
from tf_notify import SlackCallback

# define the tf.keras model to add callbacks to
model = tf.keras.Sequential(name='neural-network')
model.add(tf.keras.layers.Dense(1, input_dim=784))
model.compile(
    optimizer=tf.keras.optimizers.RMSprop(learning_rate=0.1),
    loss="mean_squared_error",
    metrics=["mean_absolute_error"],
)

model.fit(
    x_train,
    y_train,
    batch_size=128,
    epochs=2,
    verbose=0,
    validation_split=0.5,
    callbacks=[
        SlackCallback(webhook_url='https://url.to/webhook')
    ],  # send a Slack notification when training ends!
)
```

You should see something like this on your Slack:

## How to contribute

If you wish to contribute, [this](CONTRIBUTING.md) is a great place to start!

## License

Distributed under the [Apache-2.0 license](LICENSE).

tf-notify

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