Restore: Full nano-graphrag dependencies (graspologic, scipy, umap-learn) now that HF Space has CPU upgrade with sufficient resources

app.py

@@ -42,15 +42,12 @@ class BorgesGraphRAG:
         try:
             print(f"🔄 Loading GraphRAG instance for {book_folder}...")
             if book_folder not in self.instances:
-                # Try with reduced functionality to avoid graspologic issues
                 self.instances[book_folder] = GraphRAG(
                     working_dir=book_folder,
                     best_model_func=gpt_4o_mini_complete,
                     cheap_model_func=gpt_4o_mini_complete,
                     best_model_max_async=3,
-                    cheap_model_max_async=3,
-                    # Use basic embedding model to avoid graspologic
-                    enable_naive_rag=True
+                    cheap_model_max_async=3
                 )
                 print(f"✅ GraphRAG instance created for {book_folder}")
             else:

requirements.txt

@@ -10,4 +10,7 @@ aiohttp>=3.8.0
 python-dotenv
 pandas
 scikit-learn
-sentence-transformers
+sentence-transformers
+scipy
+graspologic
+umap-learn