From 5e16268c5ab3e94ea77704420a0a8bd87e671ecf Mon Sep 17 00:00:00 2001
From: Navan Chauhan <navanchauhan@gmail.com>
Date: Sun, 8 Nov 2020 17:22:01 +0530
Subject: removed description from about and added linkk to Qrious

---
 app/templates/home.html | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'app/templates/home.html')

diff --git a/app/templates/home.html b/app/templates/home.html
index d67cac7..f4d1a99 100644
--- a/app/templates/home.html
+++ b/app/templates/home.html
@@ -20,10 +20,10 @@
     <ul>
         <li><a href="{{ url_for('pubmed') }}">PubMed Search</a> - Handy PubMed search with direct download links</li>
         <li><a href="{{url_for('pubchem')}}">PubChem Search</a> - Get Compound SMILES</li>
-        <li>Qrious App - You can enter a question for a set of papers (e.g. ChemRxiv preprints) and it uses AI to answer it for each individual paper based on their abstract</li>
+        <li><a href="https://github.com/navanchauhan/Qrious">Qrious App</a> (v0.1) - You can enter a question for a set of papers (e.g. ChemRxiv preprints) and it uses AI to answer it for each individual paper based on their abstract</li>
     </ul>
 
-    <h3>Analyse</h3>
+    <h3>Analyse (Beta)</h3>
     <ul>
         <li><a href="{{ url_for('propalert') }}">Chemical Properties and Alerts</a> - Find Chemical properties and check structure for alerts.</li>
         <li><a href="#">Druggability</a> - Classify druggability of a compound using a ML Model.</li>
-- 
cgit v1.2.3