Initial bootstrap setup

.gitignore

@@ -0,0 +1,3 @@
+monitoring_of_datause/
+__pycache__/
+*.pyc

README.md

@@ -0,0 +1,14 @@
+---
+title: Data Use Extractor
+emoji: 📊
+colorFrom: blue
+colorTo: slate
+sdk: gradio
+sdk_version: 5.15.0
+app_file: app.py
+pinned: false
+---
+
+# Data Use Extractor Bootstrap Space
+
+This Hugging Face Space acts as a bootstrap launcher that clones the private repository and executes the Gradio application.

app.py

@@ -0,0 +1,50 @@
+import os
+import sys
+import subprocess
+from pathlib import Path
+
+# 1. Retrieve the GitHub token
+token = os.environ.get("GITHUB_TOKEN") or os.environ.get("PAT")
+if not token:
+    raise ValueError("Please set the GITHUB_TOKEN or PAT secret in Space settings.")
+
+# 2. Clone/Pull private repository
+repo_url = f"https://oauth2:{token}@github.com/rafmacalaba/monitoring_of_datause.git"
+repo_dir = Path("monitoring_of_datause")
+
+if not repo_dir.exists():
+    print("Cloning private repository...")
+    try:
+        subprocess.run(["git", "clone", repo_url, str(repo_dir)], check=True, capture_output=True, text=True)
+    except subprocess.CalledProcessError as e:
+        stderr_clean = e.stderr.replace(token, "********") if token else e.stderr
+        raise RuntimeError(f"Failed to clone repository: {stderr_clean}") from None
+else:
+    print("Repository exists. Pulling updates...")
+    try:
+        subprocess.run(["git", "-C", str(repo_dir), "pull"], check=True, capture_output=True, text=True)
+    except subprocess.CalledProcessError as e:
+        stderr_clean = e.stderr.replace(token, "********") if token else e.stderr
+        raise RuntimeError(f"Failed to pull repository: {stderr_clean}") from None
+
+# 3. Explicitly install local gliner2 first (since standard pip doesn't read uv.sources)
+gliner2_path = repo_dir / "gliner2-src"
+if gliner2_path.exists():
+    print("Installing local gliner2 library...")
+    subprocess.run([sys.executable, "-m", "pip", "install", "-e", str(gliner2_path)], check=True)
+
+# 4. Install other dependencies and project package
+requirements_file = repo_dir / "requirements.txt"
+if requirements_file.exists():
+    print("Installing dependencies...")
+    subprocess.run([sys.executable, "-m", "pip", "install", "-r", str(requirements_file)], check=True)
+
+# 5. Add to Python path and launch the app
+sys.path.insert(0, str(repo_dir))
+sys.path.insert(0, str(repo_dir / "src"))
+sys.path.insert(0, str(repo_dir / "datause_extract"))
+
+from app import demo
+
+if __name__ == "__main__":
+    demo.launch()