Update README.md

Author: Gonza10V

README.md

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 # Tricahue
-This package extracts experimental data and metadata, converts to stardard formats, uploads to SynBioHub and Flapjack, and connects them
+
+Welcome to the Tricahue repository, our Python package for experimental data and metadata standardization, upload to databases and connection for creating distributed datasets.
+
+<img src="https://github.com/Gonza10V/Tricahue/blob/main/images/tricahue_logo.jpeg#gh-light-mode-only" alt="LOICA logo" width="350"/>
+<img src="https://github.com/Gonza10V/Tricahue/blob/main/images/tricahue_logo.jpeg#gh-dark-mode-only" alt="LOICA night logo" width="350"/>
+
+
+![PyPI - Version](https://img.shields.io/pypi/v/tricahue)
+
+As you may have noticed, our logo features a beautiful "loro tricahue" or burrowing parrot[(_Cyanoliseus patagonus bloxami_)](https://en.wikipedia.org/wiki/Burrowing_parrot); a bird native to Chile and Argentina known for its distinctive colors green on head and body, red and yellow on the chest, and a blue tail. These parrots excavate burrows on cliff faces or ravines that are connected forming a complex system of tunnels and chambers[.](https://youtu.be/v2AC41dglnM)
+
+## Installation
+
+Installing Tricahue is super simple! 
+
+Do:
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+`pip install tricahue`
+
+
+## Tricahue allows you to:
+
+- Extract experimental data from Excel, CSV and TSV files
+- Standardize experimental data into Tidy format
+- Stadardize experimental metadata into SBOL
+- Upload experimental data to Flapjack
+- Upload experimental metadata to SynBioHub
+- Connect data from SynBioHub and Flapjack to create complete data sets