update figure names and main (#1)

Main.py

@@ -180,7 +180,7 @@ def load_logo(filepath):
             hasClicked = card(
                 title="AntiMicrobial KG",
                 text="Data warehouse of experimentally validated antibacterial chemicals",
-                image=load_logo("images/Antimicrobial.webp"),
+                image=load_logo("images/antimicrobial.webp"),
                 url="https://antimicrobial-kg.serve.scilifelab.se/",
             )
 
@@ -193,7 +193,7 @@ def load_logo(filepath):
             hasClicked = card(
                 title="AntiMicrobial Model",
                 text="Model for predicting antimicorbial activity of small molecules",
-                image=load_logo("images/Antimicrobial.webp"),
+                image=load_logo("images/antimicrobial.webp"),
                 url="https://antimicrobial-kg.serve.scilifelab.se/Model_Prediction",
             )
 

README.md

@@ -1,15 +1,4 @@
-# streamlit_ITMP
-attempts to build streamlit apps for different usage.
+# DataScience Toolkit
 
-## Pareto front
-This app allows to upload screening results, to generate a hit Pareto front according to unweighted choice of numerical columns, display of the screening results on first two columns used for Pareto front calculation, mouse on scatter plot generation via Bokeh and download possibility of same input excel with extra column with labels of Pareto front chosen. Needs extra content like clearer trend towards positive control (maximize) or negative control (minimize). 
-
-Possible discretization of columns with quantiles (e.g. instead of max or min only use 4th quartile (maximize) or 1st quartile (minimize). 
-
-Weights to be added may be needed. 
-
-In case of HCS (high content screening) columns could be ten or hundreds, i.e. need a different selection tool.
-
-## Ensemble / Uniprot query
-This app might be useful to query ENSEMBLE or UNIPROT basic information on ENSG / HGNC names of protein target. It collects some information (to be enlarged) and allows download.
+This repository constains the overall suite of resources and tools built by the Fraunhofer ITMP data science team.