Update app.py

app.py

@@ -837,7 +837,7 @@ def update_AF(seq_dict, pdb, num_recycles, selectedResidues):
             plt.figure(),
             plt.figure(),
         )
-    random_dir = tempfile.NamedTemporaryDir(delete=False) 
+    random_dir = tempfile.TemporaryDirectory() 
 
     plddts, paes, num_res = ray.get(run_alphafold.remote(allSeqs, num_recycles, random_dir ))
 
@@ -1257,23 +1257,23 @@ proteinMPNN = gr.Blocks()
 
 with proteinMPNN:
     
-    gr.Markdown("# MAINTENANC, CURRENTLY NOT WORKING")
-    gr.HTML("<span style='font-size:3em;color:red'>⚠</span>")
-    # gr.Markdown("# ProteinMPNN")
-    # gr.Markdown(
-    #     """This model takes as input a protein structure and based on its backbone predicts new sequences that will fold into that backbone. 
-    #     Optionally, we can run AlphaFold2 on the predicted sequence to check whether the predicted sequences adopt the same backbone.
-
-    #     If you use this space please cite the ProteinMPNN paper 
-    #     > J. Dauparas, I. Anishchenko, N. Bennett, H. Bai, R. J. Ragotte, L. F. Milles, B. I. M. Wicky, A. Courbet, R. J. de Haas, N. Bethel, P. J. Y. Leung, T. F. Huddy, S. Pellock, D. Tischer, F. Chan, B. Koepnick, H. Nguyen, A. Kang, B. Sankaran, A. K. Bera, N. P. King, D. Baker, Robust deep learning–based protein sequence design using ProteinMPNN. Science 378, 49–56 (2022).
+    # gr.Markdown("# MAINTENANC, CURRENTLY NOT WORKING")
+    # gr.HTML("<span style='font-size:3em;color:red'>⚠</span>")
+    gr.Markdown("# ProteinMPNN")
+    gr.Markdown(
+        """This model takes as input a protein structure and based on its backbone predicts new sequences that will fold into that backbone. 
+        Optionally, we can run AlphaFold2 on the predicted sequence to check whether the predicted sequences adopt the same backbone.
+
+        If you use this space please cite the ProteinMPNN paper 
+        > J. Dauparas, I. Anishchenko, N. Bennett, H. Bai, R. J. Ragotte, L. F. Milles, B. I. M. Wicky, A. Courbet, R. J. de Haas, N. Bethel, P. J. Y. Leung, T. F. Huddy, S. Pellock, D. Tischer, F. Chan, B. Koepnick, H. Nguyen, A. Kang, B. Sankaran, A. K. Bera, N. P. King, D. Baker, Robust deep learning–based protein sequence design using ProteinMPNN. Science 378, 49–56 (2022).
         
-    #     and this webapp: 
+        and this webapp: 
         
-    #     > Simon L. Dürr. (2023). ProteinMPNN Gradio Webapp (v0.3). Zenodo. https://doi.org/10.5281/zenodo.7630417
+        > Simon L. Dürr. (2023). ProteinMPNN Gradio Webapp (v0.3). Zenodo. https://doi.org/10.5281/zenodo.7630417
 
-    #     """
-    # )
-    # gr.Markdown("![](https://simonduerr.eu/ProteinMPNN.png)")
+        """
+    )
+    gr.Markdown("![](https://simonduerr.eu/ProteinMPNN.png)")
 
     with gr.Tabs():
         with gr.TabItem("Input"):