Updated Readme and Changelog

Author: animikhaich

CHANGELOG.md

@@ -4,9 +4,10 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## Unreleased
+## [Version 0.1.0] - 2021-04-10
 
 ### Modified
+- Updated License from MIT to GNU AGPL V3
 - Re-shuffling:
   - `utils/data_loader.py` -> `core/data_loader.py`
   - `utils/model.py` -> `core/model.py`
@@ -91,3 +92,4 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 
 [Version 0.1.0 Beta]: https://github.com/animikhaich/Zero-Code-TF-Classifier/releases/tag/v0.1-beta
+[Version 0.1.0]: https://github.com/animikhaich/Zero-Code-TF-Classifier/releases/tag/v0.1

README.md

@@ -176,7 +176,7 @@ Contributions are what make the open source community such an amazing place to b
 
 ## License
 
-Distributed under the MIT License. See [LICENSE](LICENSE.md) for more information.
+Distributed under the [GNU AGPL V3 License](https://choosealicense.com/licenses/agpl-3.0/). See [LICENSE](LICENSE) for more information.
 
 
 ## Contact
@@ -197,7 +197,7 @@ Distributed under the MIT License. See [LICENSE](LICENSE.md) for more informatio
 [stars-url]: https://github.com/animikhaich/Zero-Code-TF-Classifier/stargazers
 [issues-shield]: https://img.shields.io/github/issues/animikhaich/Zero-Code-TF-Classifier.svg?style=flat-square
 [issues-url]: https://github.com/animikhaich/Zero-Code-TF-Classifier/issues
-[license-shield]: https://img.shields.io/github/license/animikhaich/Semantic-Segmentation-using-AutoEncoders.svg?style=flat-square
+[license-shield]: https://img.shields.io/github/license/animikhaich/Zero-Code-TF-Classifier.svg?style=flat-square
 [license-url]: https://github.com/animikhaich/Zero-Code-TF-Classifier/blob/main/LICENSE
 [linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=flat-square&logo=linkedin&colorB=555
 [linkedin-url]: https://linkedin.com/in/animikh-aich/

utils/add_ons.py

@@ -13,8 +13,6 @@
 os.environ["TF_CPP_MIN_LOG_LEVEL"] = "1"
 import tensorflow as tf
 import streamlit as st
-import numpy as np
-import pandas as pd
 import plotly.graph_objs as go
 
 
@@ -116,7 +114,7 @@ def on_train_begin(self, logs=None):
             logs (dict, optional): Training Metrics. Defaults to None.
         """
         self.status_text.info(
-            "Training Started! Live Graphs will be shown on the completion of the First Epoch."
+            "Training Started! Live Graphs will be shown on the completion of Each Epoch."
         )
 
     def on_train_end(self, logs=None):