Update README.md

Author: hamdivazim-archive

README.md

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+<div align="center">
+  <picture>
+    <source media="(prefers-color-scheme: dark)" srcset="https://github.com/hamdivazim/pypredictor/raw/main/logo_dark.png">
+    <img src="https://github.com/hamdivazim/pypredictor/raw/main/logo.png" alt="pypredictor logo">
+  </picture>
+</div>
+
 # pypredictor
-A Python library that can predict the next values in a list.
+<p>
+  <img src="https://img.shields.io/badge/Python-3.8 | 3.9 | 3.10 | 3.11 -blue.svg" alt="py versions">
+  <img src="https://img.shields.io/badge/PyPi package-0.1.0-green.svg" alt="pypi version">
+  <img src="https://img.shields.io/badge/License-Apache License 2.0-green.svg" alt="license">
+  <img src="https://img.shields.io/badge/Libraries-tensorflow | numpy | seaborn | pandas-green.svg" alt="libs">
+  <img src="https://img.shields.io/badge/tests-all passing-green.svg" alt="tests">
+</p>
+
+The Python library that makes AI predictions simple.
+
+## What can it do?
+pypredictor uses an RNN (Recurrent Neural Network) to predict the next n numbers in a sequence. As an example, using this code:
+```python
+pred = NumPredictor(500)
+print(pred.predict([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 5, 3))
+```
+pypredictor generated the following output, which is quite accurate:
+```
+[10.969043, 11.950292, 12.920968, 13.859894, 14.789316]
+```
+pypredictor also has the ability to generate a pandas DataFrame and a seaborn line graph, from an initial sequence/DataFrame which you provide.
+###
+Plus, there are examples in the `examples/` directory, so you can take a look for yourself :)
+
+## How to install
+Install via pip:
+```
+$ pip install pypredictor
+```