app.py

from stmol import showmol
import py3Dmol
import streamlit as st
import requests

sequence = st.text_input(label="Protein Sequence", value="MGSSHHHHHHSSGLVPRGSHMRGPNPTAASLEASAGPFTVRSFTVSRPSGYGAGTVYYPTNAGGTVGAIAIVPGYTARQSSIKWWGPRLASHGFVVITIDTNSTLDQPSSRSSQQMAALRQVASLNGTSSSPIYGKVDTARMGVMGWSMGGGGSLISAANNPSLKAAAPQAPWDSSTNFSSVTVPTLIFACENDSIAPVNSSALPIYDSMSRNAKQFLEINGGSHSCANSGNSNQALIGKKGVAWMKRFMDNDTRYSTFACENPNSTRVSDFRTANCSLEDPAANKARKEAELAAATAEQ")

headers = {
    'Content-Type': 'application/x-www-form-urlencoded',
}

response = requests.post('https://api.esmatlas.com/foldSequence/v1/pdb/', headers=headers, data=sequence)
name = sequence[:3] + sequence[-3:] 
pdb_string = response.content.decode('utf-8')

st.markdown("# ESM-2 Protein Folding demo")
st.markdown("You can input a single protein sequence and you get the predicted protein structure")

xyzview = py3Dmol.view()
xyzview.addModel(pdb_string,'pdb')
xyzview.setStyle({'cartoon':{
        "color": "spectrum",}})
xyzview.zoomTo()
print("Set style")
showmol(xyzview, height = 500,width=800)
print("Displayed")

st.markdown("[ESM](https://esmatlas.com/about) by Meta using the API. You can also use Hugging Face `transformers` as shown [here](https://github.com/huggingface/notebooks/blob/main/examples/protein_folding.ipynb), which is supported since [v4.24](https://github.com/huggingface/transformers/releases/tag/v4.24.0).")