Fix: Add proper nano-graphrag dependencies and environment setup

- Add required dependencies (pandas, scikit-learn, sentence-transformers)
- Add OpenAI API key environment variable checking
- Improve diagnostic function with detailed system info
- Prepare for real GraphRAG functionality instead of demo mode

.gitignore

@@ -0,0 +1 @@
+.vercel

app.py

@@ -7,6 +7,17 @@ from pathlib import Path
 from typing import Dict, Any, List
 import tempfile
 import shutil
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+# Check for OpenAI API key
+if not os.getenv("OPENAI_API_KEY"):
+    print("⚠️ OPENAI_API_KEY not found in environment variables")
+    print("⚠️ nano-graphrag requires OpenAI API key to function")
+else:
+    print("✅ OpenAI API key found in environment")
 
 # Try to import nano_graphrag, with fallback for demo
 try:
@@ -268,15 +279,30 @@ def api_query(query: str, mode: str = "local", book_id: str = None):
 # Diagnostic function
 def diagnostic_info():
     """Return diagnostic information about the system"""
-    return {
+    diagnostic_data = {
         "nano_graphrag_available": NANO_GRAPHRAG_AVAILABLE,
         "available_books": available_books,
         "current_book": borges_rag.current_book,
         "working_directory": os.getcwd(),
         "directory_contents": [f for f in os.listdir('.') if os.path.isdir(f)],
-        "book_status": book_status
+        "book_status": book_status,
+        "openai_api_key_configured": bool(os.getenv("OPENAI_API_KEY")),
+        "environment_variables": {k: "***" if "api" in k.lower() or "key" in k.lower() else v
+                                  for k, v in os.environ.items() if k.startswith(("OPENAI", "HF", "GRADIO"))},
     }
 
+    # Add book instance info if available
+    if NANO_GRAPHRAG_AVAILABLE and borges_rag.current_book:
+        try:
+            book_instance = borges_rag.instances.get(borges_rag.current_book)
+            diagnostic_data["book_instance_loaded"] = book_instance is not None
+            if book_instance:
+                diagnostic_data["book_working_dir"] = getattr(book_instance, 'working_dir', 'Unknown')
+        except Exception as e:
+            diagnostic_data["book_instance_error"] = str(e)
+
+    return diagnostic_data
+
 # Gradio app
 with gr.Blocks(
     title="Borges Graph - GraphRAG Explorer",

requirements.txt

@@ -6,4 +6,8 @@ openai>=1.0.0
 networkx>=3.0
 numpy>=1.21.0
 tiktoken>=0.4.0
-aiohttp>=3.8.0
+aiohttp>=3.8.0
+python-dotenv
+pandas
+scikit-learn
+sentence-transformers