Upload app.py

app.py

@@ -82,8 +82,13 @@ __Note: Inference may take a loger time, you can upgrade to a paid GPU-enabled p
 """
 
 article = """
-This interface enables the use of <span style='font-variant:small-caps;'>BarlowDTI</span> to predict drug-target interactions. 
-The model ensemble consists of three models trained on different datasets: BindingDB, BIOSNAP, and DAVIS.
+This interface enables the use of <span style='font-variant:small-caps;'>BarlowDTI</span><sub>XXL</sub> to predict drug-target interactions. 
+The model ensemble consists of four models trained on different datasets: our own curated and refined dataset based on 
+[Golts et. al](https://doi.org/10.48550/arXiv.2401.17174) 
+in combination with 
+[BindingDB](https://doi.org/10.1093/nar/gkl999), 
+[BioSNAP](https://snap.stanford.edu/index.html), and 
+[DAVIS](https://doi.org/10.1038/nbt.1990).
 
 If you use this interface in your research, please cite our paper:
 ```
@@ -94,7 +99,7 @@ If you use this interface in your research, please cite our paper:
       eprint={2408.00040},
       archivePrefix={arXiv},
       primaryClass={q-bio.BM},
-      url={https://arxiv.org/abs/2408.00040}, 
+      url={https://arxiv.org/abs/2408.00040},
 }
 ```
 """
@@ -114,7 +119,6 @@ iface = gr.Interface(
     outputs=[
         gr.Plot(label="Predictions Visualization"), 
         gr.DataFrame(label="Predictions DataFrame"),
-        # gr.DownloadButton(label="Download Predictions")
     ],
     title=title,
     description=description,