Auth [wip]

README.md

@@ -1,10 +1,14 @@
 ---
-title: Yourbench Space
+title: YourBench Configuration
 emoji: 📊
 colorFrom: pink
 colorTo: indigo
 sdk: docker
-pinned: false
+hf_oauth: true
+hf_oauth_scopes:
+  - read
+  - write
+  - read:org
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,12 +1,15 @@
 import os
 import sys
+from huggingface_hub import HfApi
+import requests
 import pathlib
+import subprocess
 import shutil
-import threading
-import multiprocessing
 import io
 import yaml
 import gradio as gr
+import gradiologin as gl
+from huggingface_hub import whoami
 from loguru import logger
 from yourbench.pipeline import run_pipeline
 
@@ -17,11 +20,6 @@ CONFIG_PATH = pathlib.Path("/app/yourbench_config.yml")
 logger.remove()
 logger.add(sys.stderr, level="INFO")
 
-import subprocess
-import io
-import os
-import time
-
 class SubprocessManager:
     def __init__(self, command):
         self.command = command
@@ -89,7 +87,8 @@ class SubprocessManager:
 command = ["uv", "run", "yourbench", f"--config={CONFIG_PATH}"]
 manager = SubprocessManager(command)
 
-def generate_config(hf_token, hf_org, model_name, provider, base_url, api_key, max_concurrent_requests):
+
+def generate_config(hf_token: gr.OAuthToken | None, hf_org, model_name, provider, base_url, api_key, max_concurrent_requests):
     config = {
         "hf_configuration": {
             "token": hf_token,
@@ -195,15 +194,70 @@ def save_files(files: list[str]):
     saved_paths = [shutil.move(str(pathlib.Path(file)), str(UPLOAD_DIRECTORY / pathlib.Path(file).name)) for file in files]
     return f"Files saved to: {', '.join(saved_paths)}"
 
-app = gr.Blocks()
+def populate_user_info(oauth_profile: gr.OAuthProfile = None, oauth_token: gr.OAuthToken = None):
+    if oauth_profile is None or oauth_token is None:
+        return (
+            gr.Dropdown.update(choices=["(Please log in to load tokens)"], value=None),
+            gr.Dropdown.update(choices=["(Please log in)"], value=None),
+            "🔒 Not logged in"
+        )
+
+    username = oauth_profile.username
+    org_names = []
+    token_names = []
+
+    try:
+        headers = {"Authorization": f"Bearer {oauth_token.token}"}
+        hf_api = HfApi(token=oauth_token.token)
+
+        # Fetch all user tokens
+        token_data = hf_api.list_tokens()
+        for t in token_data:
+            name = t.get("name") or f"{t['token'][:4]}...{t['token'][-4:]}"
+            token_names.append(name)
+
+        # Fetch user organizations
+        orgs = hf_api.get_user_organizations()
+        org_names = [org.organization for org in orgs]
 
-with app:
+    except Exception as e:
+        print("Error fetching user/org info:", e)
+        token_names = [f"{oauth_token.token[:4]}...{oauth_token.token[-4:]}"]
+
+    org_options = [username] + org_names
+    default_org = username
+
+    return (
+        gr.Dropdown.update(choices=token_names, value=token_names[0] if token_names else None),
+        gr.Dropdown.update(choices=org_options, value=default_org),
+        f"✅ Logged in as {username}"
+    )
+
+def hello(profile: gr.OAuthProfile | None) -> str:
+    if profile is None:
+        return "I don't know you."
+    return f"Hello {profile.name}"
+
+def update_hf_org_dropdown(oauth_token: gr.OAuthToken | None) -> str:
+    if oauth_token is None:
+        print("Please deploy this on Spaces and log in to list organizations.")
+        return []
+    org_names = [org["name"] for org in whoami(oauth_token.token)["orgs"]]
+    return gr.Dropdown(org_names, label="Organization")
+
+with gr.Blocks() as app:
     gr.Markdown("## YourBench Configuration")
-    
+    with gr.Row():
+        login_btn = gr.LoginButton()
+        hello_text = gr.Markdown()
+        app.load(hello, inputs=None, outputs=hello_text)
+
     with gr.Tab("Configuration"):
-        hf_token = gr.Textbox(label="HF Token")
-        hf_org = gr.Textbox(label="HF Organization")
         model_name = gr.Textbox(label="Model Name")
+
+        hf_org_dropdown = gr.Dropdown(list(), label="Organization")
+        app.load(update_hf_org_dropdown, inputs=None, outputs=hf_org_dropdown)
+
         provider = gr.Dropdown(["openrouter", "openai", "huggingface"], value="huggingface", label="Provider")
         base_url = gr.Textbox(label="Base URL")
         api_key = gr.Textbox(label="API Key")
@@ -211,10 +265,14 @@ with app:
         config_output = gr.Code(label="Generated Config", language="yaml")
         preview_button = gr.Button("Generate Config")
         save_button = gr.Button("Save Config")
-        
-        preview_button.click(generate_config, inputs=[hf_token, hf_org, model_name, provider, base_url, api_key, max_concurrent_requests], outputs=config_output)
+
+        preview_button.click(
+            generate_config,
+            inputs=[hf_org_dropdown, model_name, provider, base_url, api_key, max_concurrent_requests],
+            outputs=config_output
+        )
         save_button.click(save_config, inputs=[config_output], outputs=[gr.Textbox(label="Save Status")])
-    
+
     with gr.Tab("Files"):
         file_input = gr.File(label="Upload text files", file_count="multiple", file_types=[".txt", ".md", ".html"])
         output = gr.Textbox(label="Log")
@@ -227,7 +285,7 @@ with app:
         timer = gr.Timer(0.1, active=True)
         timer.tick(manager.read_and_get_output, outputs=log_output)
 
-        start_button = gr.Button("Kill Task")
-        start_button.click(manager.kill_process)
+        kill_button = gr.Button("Kill Task")
+        kill_button.click(manager.kill_process)
 
 app.launch()

pyproject.toml

@@ -7,7 +7,7 @@ dependencies = [
     "yourbench @ git+https://github.com/huggingface/[email protected]",
     "asyncio>=3.4.3",
     "datasets>=3.3.0",
-    "gradio>=5.20.0",
+    "gradio[oauth]>=5.20.0",
     "hf-transfer>=0.1.9",
     "langfuse>=2.59.3",
     "litellm>=1.61.16",
@@ -19,6 +19,7 @@ dependencies = [
     "torch>=2.6.0",
     "tqdm>=4.67.1",
     "transformers>=4.48.3",
+    "gradiologin>=0.1.0",
 ]
 
 [build-system]

uv.lock

@@ -1,6 +1,15 @@
 version = 1
 requires-python = "==3.12.*"
 
+[[package]]
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+sdist = { url = "https://files.pythonhosted.org/packages/7a/8f/fc001b92ecc467cc32ab38398bd0bfb45df46e7523bf33c2ad22a505f06e/absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff", size = 118055 }
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+[[package]]
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+version = "0.3.13"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "matplotlib" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "pandas" },
+    { name = "requests" },
+    { name = "torch" },
+    { name = "tqdm" },
+    { name = "transformers" },
+]
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+]
+
 [[package]]
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 version = "2025.1.31"
@@ -237,12 +233,16 @@ wheels = [
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 [[package]]
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-version = "0.1.4"
+name = "cmudict"
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+dependencies = [
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+    { name = "importlib-resources" },
+]
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@@ -372,12 +363,25 @@ wheels = [
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 [[package]]
-name = "et-xmlfile"
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+name = "evaluate"
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+dependencies = [
+    { name = "datasets" },
+    { name = "dill" },
+    { name = "fsspec", extra = ["http"] },
+    { name = "huggingface-hub" },
+    { name = "multiprocess" },
+    { name = "numpy" },
+    { name = "packaging" },
+    { name = "pandas" },
+    { name = "requests" },
+    { name = "tqdm" },
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+]
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+[package.optional-dependencies]
+oauth = [
+    { name = "authlib" },
+    { name = "itsdangerous" },
+]
+
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+[[package]]
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+source = { registry = "https://pypi.org/simple" }
+dependencies = [
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+    { name = "gradio" },
+    { name = "itsdangerous" },
+]
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@@ -591,7 +615,7 @@ wheels = [
 
 [[package]]
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+version = "0.29.2"
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 dependencies = [
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@@ -602,9 +626,9 @@ dependencies = [
     { name = "tqdm" },
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