update requirements and install instructions

README.md

@@ -1,5 +1,5 @@
 ---
-title: ProteinMPNN
+title: ProteinMPNN + ESM
 emoji: ⚡
 colorFrom: red
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@@ -10,13 +10,28 @@ pinned: false
 license: mit
 ---
 
-# ProteinMPNN 
+# ProteinMPNN + ESM
 
-Standalone demo of proteinMPNN inspired by Colab Notebook by @sokrypton and @dauparas
+You can run this repo locally with the following easy steps. 
+
+In a new python environment, do:
+
+```
+pip install -r requirements.txt
+
+pip install --upgrade transformers accelerate
+
+python app.py
+```
+
+This will launch a local webserver and a share URL (`xxx.gradio.app`, helpful if running this on a cluster), open the url in your webbrowser and start designing proteins. 
 
 
-Preprint of method available on [BioRxiv](https://t.co/aDnbzjKY7a)
 
 **Robust deep learning based protein sequence design using ProteinMPNN**
 Justas Dauparas, Ivan Anishchenko, Nathaniel Bennett, Hua Bai, Robert J. Ragotte, Lukas F. Milles, Basile I. M. Wicky, Alexis Courbet, Robbert J. de Haas, Neville Bethel, Philip J. Y. Leung, Timothy F. Huddy, Sam Pellock, Doug Tischer, Frederick Chan, Brian Koepnick, Hannah Nguyen, Alex Kang, Banumathi Sankaran, Asim Bera, Neil P. King, David Baker
 bioRxiv 2022.06.03.494563; doi: https://doi.org/10.1101/2022.06.03.494563
+
+**Evolutionary-scale prediction of atomic level protein structure with a language model**
+Zeming Lin, Halil Akin, Roshan Rao, Brian Hie, Zhongkai Zhu, Wenting Lu, Nikita Smetanin, Robert Verkuil, Ori Kabeli, Yaniv Shmueli, Allan dos Santos Costa, Maryam Fazel-Zarandi, Tom Sercu, Salvatore Candido, Alexander Rives
+bioRxiv 2022.07.20.500902; doi: https://doi.org/10.1101/2022.07.20.500902

requirements.txt

@@ -7,4 +7,5 @@ torch
 plotly
 tqdm
 mdtraj
-
+transformers
+accelerate