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author | Navan Chauhan <navanchauhan@gmail.com> | 2020-11-08 17:22:01 +0530 |
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committer | Navan Chauhan <navanchauhan@gmail.com> | 2020-11-08 17:22:01 +0530 |
commit | 5e16268c5ab3e94ea77704420a0a8bd87e671ecf (patch) | |
tree | f8e20ffe3c3b2233726728e66b4a10f1c2d8e5f5 /app/templates/home.html | |
parent | 8622ea518cc1f79349ed997a8e97e92d1037d4b9 (diff) |
removed description from about and added linkk to Qrious
Diffstat (limited to 'app/templates/home.html')
-rw-r--r-- | app/templates/home.html | 4 |
1 files changed, 2 insertions, 2 deletions
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> |