yzimmermann commited on
Commit
6e03cfc
·
verified ·
1 Parent(s): 25bd3fd

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -109,13 +109,13 @@ iface = gr.Interface(
109
  <section id="molecular-taste-description">
110
  <h2>Discover Molecular Taste with FART</h2>
111
  <p>
112
- At Kvant AI Labs, we just revolutionized taste chemistry with FART (Flavor Analysis and Recognition Transformer), an AI-powered tool designed to predict molecular taste from SMILES. FART delivers predictions for <strong>sweet</strong>, <strong>bitter</strong>, <strong>sour</strong>, and <strong>umami</strong> with over 91% accuracy.
113
  </p>
114
  <p>
115
  Beyond predictions, FART identifies the molecular features driving taste characteristics, enabling actionable insights for flavor innovation. Powered by the ChemBERTa foundation model and trained on the largest molecular taste dataset to date, FART sets a new standard in food science.
116
  </p>
117
  <p>
118
- Learn more about the science behind FART in our <a href="https://chemrxiv.org/engage/chemrxiv/article-details/673a2a3af9980725cf80503c" target="_blank">Pre-print</a>.
119
  </p>
120
  </section>
121
  """,
 
109
  <section id="molecular-taste-description">
110
  <h2>Discover Molecular Taste with FART</h2>
111
  <p>
112
+ At Kvant AI Labs, we just revolutionized taste chemistry with FART (Flavor Analysis and Recognition Transformer), an AI-powered tool designed to predict molecular taste from chemical structure alone. FART delivers predictions for <strong>sweet</strong>, <strong>bitter</strong>, <strong>sour</strong>, and <strong>umami</strong> with over 91% accuracy.
113
  </p>
114
  <p>
115
  Beyond predictions, FART identifies the molecular features driving taste characteristics, enabling actionable insights for flavor innovation. Powered by the ChemBERTa foundation model and trained on the largest molecular taste dataset to date, FART sets a new standard in food science.
116
  </p>
117
  <p>
118
+ Learn more about the science behind FART in our <a href="https://chemrxiv.org/engage/chemrxiv/article-details/673a2a3af9980725cf80503c" target="_blank">Pre-print</a>. To generate SMILES, one possible option is this <a href="https://www.cheminfo.org/flavor/malaria/Utilities/SMILES_generator___checker/index.html" target="_blank">tool</a>.
119
  </p>
120
  </section>
121
  """,