diff --git a/.tmp.md.kate-swp b/.tmp.md.kate-swp
deleted file mode 100644
index fa7ba34..0000000
Binary files a/.tmp.md.kate-swp and /dev/null differ
diff --git a/tmp.md b/tmp.md
deleted file mode 100644
index 3a895a4..0000000
--- a/tmp.md
+++ /dev/null
@@ -1,45 +0,0 @@
-# NiChart: Neuro-imaging Chart
-
-Documentation at: https://cbica.github.io/NiChart_Project
-
-NiChart Package at: https://github.com/CBICA/NiChart_Project
-
-## About
-
-NiChart is a novel AI-powered neuroimaging platform with tools for computing a dimensional chart from multi-modal MRI data. NiChart provides end-to-end pipelines from raw DICOM data to advanced
-AI biomarkers, allowing to map a subject’s MRI images into personalized measurements, along with
-reference distributions for comparison to a broader population.
-
-![NiChart flowchart](resources/images/NiChart_Flowchart_v2.svg)
-
-## The Basics:
-
-The development of nichart is guided by several core principles:
-
-1. Enabling **near real-time image processing and analysis** through advanced methods.
-
-2. Enabling the **continuous integration of cutting-edge processing and analysis methods** to extract meaningful AI biomarkers from multi-modal neuroimaging data.
-
-3. Ensuring robust and reliable results through **extensive data training and validation** on large and diverse training datasets.
-
-4. Providing user-friendly tools for result **visualization and reporting**.
-
-5. Developing a deployment strategy that enables **easy access for users with varying technical expertise and hardware resources**.
-
-## Running NiChart:
-
-We provide both a locally installable desktop application and a cloud-based application. 
-
-For the desktop application please see our [documentation](https://cbica.github.io/NiChart_Project/) and [our GitHub page](https://github.com/CBICA/NiChart_Project/). 
-
-[NiChart cloud application](https://neuroimagingchart.com/portal), hosted via Amazon Web Services (AWS), deploys scalable infrastructure which hosts the NiChart tools as a standard web application accessible via the user’s web browser. 
-
-The cloud and desktop applications are unified at the code level through the use of the Python library [Streamlit](https://streamlit.io/). Consequently, the user experience is nearly identical between the cloud and desktop applications.
-
-## Quick Links
-
-[![NiChart Website & Cloud](https://img.shields.io/badge/-Website-blue?style=for-the-badge&logo=world&logoColor=white)](https://neuroimagingchart.com/) [![Docker](https://img.shields.io/badge/docker-%230db7ed.svg?style=for-the-badge&logo=docker&logoColor=white)](https://hub.docker.com/u/cbica) [![AIBIL Research](https://img.shields.io/badge/-Research-blue?style=for-the-badge&logo=google-scholar&logoColor=white)](https://aibil.med.upenn.edu/research/) [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/@NiChart-UPenn)
-
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/NiChart_AIBIL.svg?style=social&label=Follow%20%40NiChart_AIBIL)](https://x.com/NiChart_AIBIL)
-
-© 2024 CBICA. All Rights Reserved.