Create app.py
Browse files
app.py
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import gradio as gr
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import os
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import py3Dmol
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def display_pdb_by_pdb(pdb):
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# function to display pdb in py3dmol
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# ref: https://huggingface.co/spaces/AIGE/A_B
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view = py3Dmol.view(width=500, height=500)
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view.addModel(pdb, "pdb")
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view.setStyle({'cartoon': {'color': 'spectrum'}})
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view.zoomTo()
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output = view._make_html().replace("'", '"')
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x = f"""<!DOCTYPE html><html></center> {output} </center></html>""" # do not use ' in this input
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return f"""<iframe height="500px" width="100%" name="result" allow="midi; geolocation; microphone; camera;
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display-capture; encrypted-media;" sandbox="allow-modals allow-forms
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allow-scripts allow-same-origin allow-popups
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allow-top-navigation-by-user-activation allow-downloads" allowfullscreen=""
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allowpaymentrequest="" frameborder="0" srcdoc='{x}'></iframe>"""
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def get_pdb(sequence):
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retries = 0
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pdb_str = None
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url = "https://api.esmatlas.com/foldSequence/v1/pdb/"
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while retries < 3 and pdb_str is None:
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response = requests.post(url, data=sequence, verify=False)
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pdb_str = response.text
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if pdb_str == "INTERNAL SERVER ERROR":
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retries += 1
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time.sleep(0.1)
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pdb = str = None
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return pdb_str
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def update(sequence=DEFAULT_SEQ):
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headers = {
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'Content-Type': 'application/x-www-form-urlencoded',
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}
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response = requests.post('https://api.esmatlas.com/foldSequence/v1/pdb/', headers=headers, data=sequence, verify=False) #verify=false jw 0425 work around for SSL certificate
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pdb_string = get_pdb(sequence)
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name = sequence[:3] + sequence[-3:]
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outpath = (
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Path.cwd() / f"PDB-{name}.pdb")
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with open(outpath.name, "w") as f:
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f.write(pdb_string)
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outpath_str = str(outpath)
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html_view = display_pdb_by_pdb(pdb_string)
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return outpath_str, html_view
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def suggest(option):
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if option == "Plastic degradation protein":
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suggestion = "MGSSHHHHHHSSGLVPRGSHMRGPNPTAASLEASAGPFTVRSFTVSRPSGYGAGTVYYPTNAGGTVGAIAIVPGYTARQSSIKWWGPRLASHGFVVITIDTNSTLDQPSSRSSQQMAALRQVASLNGTSSSPIYGKVDTARMGVMGWSMGGGGSLISAANNPSLKAAAPQAPWDSSTNFSSVTVPTLIFACENDSIAPVNSSALPIYDSMSRNAKQFLEINGGSHSCANSGNSNQALIGKKGVAWMKRFMDNDTRYSTFACENPNSTRVSDFRTANCSLEDPAANKARKEAELAAATAEQ"
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elif option == "Antifreeze protein":
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suggestion = "QCTGGADCTSCTGACTGCGNCPNAVTCTNSQHCVKANTCTGSTDCNTAQTCTNSKDCFEANTCTDSTNCYKATACTNSSGCPGH"
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elif option == "AI Generated protein":
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suggestion = "MSGMKKLYEYTVTTLDEFLEKLKEFILNTSKDKIYKLTITNPKLIKDIGKAIAKAAEIADVDPKEIEEMIKAVEENELTKLVITIEQTDDKYVIKVELENEDGLVHSFEIYFKNKEEMEKFLELLEKLISKLSGS"
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elif option == "7-bladed propeller fold":
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suggestion = "VKLAGNSSLCPINGWAVYSKDNSIRIGSKGDVFVIREPFISCSHLECRTFFLTQGALLNDKHSNGTVKDRSPHRTLMSCPVGEAPSPYNSRFESVAWSASACHDGTSWLTIGISGPDNGAVAVLKYNGIITDTIKSWRNNILRTQESECACVNGSCFTVMTDGPSNGQASYKIFKMEKGKVVKSVELDAPNYHYEECSCYPNAGEITCVCRDNWHGSNRPWVSFNQNLEYQIGYICSGVFGDNPRPNDGTGSCGPVSSNGAYGVKGFSFKYGNGVWIGRTKSTNSRSGFEMIWDPNGWTETDSSFSVKQDIVAITDWSGYSGSFVQHPELTGLDCIRPCFWVELIRGRPKESTIWTSGSSISFCGVNSDTVGWSWPDGAELPFTIDK"
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else:
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suggestion = ""
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return suggestion
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DEFAULT_SEQ = "MGSSHHHHHHSSGLVPRGSHMRGPNPTAASLEASAGPFTVRSFTVSRPSGYGAGTVYYPTNAGGTVGAIAIVPGYTARQSSIKWWGPRLASHGFVVITIDTNSTLDQPSSRSSQQMAALRQVASLNGTSSSPIYGKVDTARMGVMGWSMGGGGSLISAANNPSLKAAAPQAPWDSSTNFSSVTVPTLIFACENDSIAPVNSSALPIYDSMSRNAKQFLEINGGSHSCANSGNSNQALIGKKGVAWMKRFMDNDTRYSTFACENPNSTRVSDFRTANCSLEDPAANKARKEAELAAATAEQ"
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demo = gr.Blocks()
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with demo:
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gr.HTML("""<div style="text-align: center; max-width: 700px; margin: 0 auto;">
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<div
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style="
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display: inline-flex;
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align-items: center;
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gap: 0.8rem;
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font-size: 1.75rem;
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"
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>
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<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;">
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ESMFold Protein Folding Structure
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</h1>
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</div>
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<p style="margin-bottom: 10px; font-size: 94%">
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You can input a single protein sequence and you get the predicted protein structure
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</p>
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</div>""")
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name = gr.Dropdown(label="Choose a Sample Protein", value="Plastic degradation protein", choices=["Antifreeze protein", "Plastic degradation protein", "AI Generated protein", "7-bladed propeller fold", "custom"])
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with gr.Row():
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inp = gr.Textbox(label="Protein sequence", lines=3, value=DEFAULT_SEQ, placeholder="Paste your protein sequence here...")
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btn = gr.Button("Plot Predicted Structure ").style(full_width=False)
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with gr.Row():
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PDB_string = gr.Textbox(
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lines=4,
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max_lines=120,
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label="PDB_string Output"
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)
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with gr.Row():
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output_file = gr.File(
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label="Download PDB Structure as Text File",
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file_count="single",
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type="filepath",
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interactive=False,
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)
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output_viewer = gr.HTML()
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btn.click(fn=update, inputs=inp, outputs=[output_file, output_viewer])
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name.change(fn=suggest, inputs=name, outputs=inp)
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inp.change(fn=update, inputs=inp, outputs=output_file)
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gr.Markdown("A demo of [ESM](https://esmatlas.com/about) by Meta using the API. You can also use ESM in Hugging Face `transformers` as shown [here](https://github.com/huggingface/notebooks/blob/ab81a52182acf691e6743a50bc47bd1c1622086f/examples/protein_folding.ipynb), which is supported since [v4.24](https://github.com/huggingface/transformers/releases/tag/v4.24.0).")
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demo.launch()
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