add hf authentication

app.py

@@ -1,24 +1,25 @@
-import os
 import itertools
+import json
 import tempfile
 
-from matplotlib.path import Path
-
+import biotite.structure as bs
 import gradio as gr
-from gradio_molecule3d import Molecule3D
+import huggingface_hub
+import matplotlib.colors as mcolors
+import matplotlib.patches as mpatches
+import matplotlib.pyplot as plt
+import networkx as nx
 import numpy as np
-import json
 import torch
-import networkx as nx
-import matplotlib.pyplot as plt
-import matplotlib.patches as mpatches
-import matplotlib.colors as mcolors
-import biotite.structure as bs
+from biotite.database import rcsb
+from biotite.sequence import io as seqio
+from biotite.structure import filter_amino_acids, io, spread_residue_wise, to_sequence
+from gradio_molecule3d import Molecule3D
+from huggingface_hub import get_hf_file_metadata
+from huggingface_hub.utils import GatedRepoError
 from matplotlib.cm import ScalarMappable
 from matplotlib.colors import Normalize
-from biotite.sequence import io as seqio
-from biotite.structure import io, to_sequence, spread_residue_wise, filter_amino_acids
-from biotite.database import rcsb
+
 from rocketshp import RocketSHP, load_sequence, load_structure
 from rocketshp.network import (
     build_allosteric_network,
@@ -116,6 +117,7 @@ def predict_rocketshp(
     structure_code: str | None,
     structure_file: str | None,
     chain_id: str | None,
+    oauth_token: gr.OAuthToken | None = None,
 ):
     print(f"sequence text: {sequence}")
     print(f"sequence file: {sequence_file}")
@@ -123,6 +125,11 @@ def predict_rocketshp(
     print(f"structure file: {structure_file}")
     print(f"model variant: {model_variant}")
 
+    if oauth_token is None:
+        raise gr.Error("Please log in to use this Space")
+    token_value = oauth_token.token
+    check_permissions(token_value)
+
     device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
     is_sequence_model = "seq" in model_variant or "mini" in model_variant
 
@@ -403,6 +410,23 @@ def visualize_network(
     return fig, bc_highlight, comm_highlight, out_cluster_file_name
 
 
+def check_permissions(token: str | None = None) -> None:
+    if token is None:
+        raise gr.Error("Please log in to use this Space")
+    try:
+        url = huggingface_hub.hf_hub_url(
+            repo_id="EvolutionaryScale/esm3-sm-open-v1",
+            repo_type="model",
+            filename="config.json",
+        )
+        get_hf_file_metadata(url=url)
+        return
+    except GatedRepoError:
+        raise gr.Error(
+            "You must have access to ... to run this Space. Please go through the gating process and come back."
+        )
+
+
 reps = [
     {
         "model": 0,
@@ -450,6 +474,8 @@ with rocketshp_gradio:
     - 📄: [Paper](https://www.biorxiv.org/content/10.1101/2025.06.12.659353v1)
     - 💻: [GitHub](https://github.com/flatironinstitute/RocketSHP/tree/main)
 
+    To run RocketSHP, your HuggingFace account should have access to [ESM3-open](https://huggingface.co/EvolutionaryScale/esm3-sm-open-v1) weights. If you don't have access, please go through the gating process on HuggingFace to gain access to the model weights.
+
     """)
 
     rmsf = gr.State([])
@@ -458,6 +484,7 @@ with rocketshp_gradio:
     ca_dist = gr.State([])
     sequence = gr.State([])
 
+    gr.LoginButton()
     model_variant = gr.Dropdown(
         label="Select RocketSHP Model",
         choices=["latest", "v1_seq", "v1_mini"],

pyproject.toml

@@ -9,7 +9,7 @@ dependencies = [
     "biotite==0.41.2",
     "datasets>=4.3.0",
     "esm==3.1.3",
-    "gradio>=5.49.1",
+    "gradio[oauth]>=5.49.1",
     "gradio-molecule3d>=0.0.7",
     "h5py>=3.15.1",
     "huggingface-hub>=0.36.0",

requirements.txt

@@ -2,7 +2,7 @@ biopython>=1.79,
 biotite==0.41.2,
 datasets>=4.3.0,
 esm==3.1.3,
-gradio>=5.49.1,
+gradio[oauth]>=5.49.1,
 gradio-molecule3d>=0.0.7,
 h5py>=3.15.1,
 huggingface-hub>=0.36.0,

uv.lock

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 ]
 
+[[package]]
+name = "authlib"
+version = "1.6.5"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cryptography" },
+]
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+]
+
 [[package]]
 name = "babel"
 version = "2.17.0"
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 ]
 
+[[package]]
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+]
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+version = "2.2.0"
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 version = "0.19.2"
@@ -3890,7 +3979,7 @@ dependencies = [
     { name = "biotite" },
     { name = "datasets" },
     { name = "esm" },
-    { name = "gradio" },
+    { name = "gradio", extra = ["oauth"] },
     { name = "gradio-molecule3d" },
     { name = "h5py" },
     { name = "huggingface-hub" },
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     { name = "esm", specifier = "==3.1.3" },
-    { name = "gradio", specifier = ">=5.49.1" },
+    { name = "gradio", extras = ["oauth"], specifier = ">=5.49.1" },
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     { name = "h5py", specifier = ">=3.15.1" },
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