Disable NV-Reason-CXR to prioritize VQA tool on L4 GPU

- Commented out NV-Reason-CXR (~7GB VRAM)
- MAIRA-2 Grounding uses ~15GB, leaving ~7GB for other tools
- Prioritizing CheXagent VQA for interactive Q&A capabilities
- With L4 (24GB), can run: Grounding + VQA + Classification + Report Gen

VRAM allocation with this config:
- MAIRA-2: ~15GB
- VQA: ~2GB
- Others: ~1GB
- Free: ~6GB

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

app.py

@@ -35,17 +35,19 @@ tools = []
 if device == "cuda":
     # Load GPU-based tools
 
-    # NV-Reason-CXR - Re-enabled for L4 GPU (24GB VRAM)
-    try:
-        from medrax.tools import NVReasonCXRTool
-        nv_reason_tool = NVReasonCXRTool(
-            device=device,
-            load_in_4bit=True  # Use quantization to save VRAM
-        )
-        tools.append(nv_reason_tool)
-        print("✓ Loaded NV-Reason-CXR tool")
-    except Exception as e:
-        print(f"✗ Failed to load NV-Reason-CXR tool: {e}")
+    # NV-Reason-CXR - Temporarily disabled (uses ~7GB VRAM)
+    # Taking up too much memory alongside MAIRA-2 (15GB), leaving no room for VQA
+    # Priority: VQA is more useful for interactive Q&A
+    # try:
+    #     from medrax.tools import NVReasonCXRTool
+    #     nv_reason_tool = NVReasonCXRTool(
+    #         device=device,
+    #         load_in_4bit=True  # Use quantization to save VRAM
+    #     )
+    #     tools.append(nv_reason_tool)
+    #     print("✓ Loaded NV-Reason-CXR tool")
+    # except Exception as e:
+    #     print(f"✗ Failed to load NV-Reason-CXR tool: {e}")
 
     try:
         from medrax.tools import XRayPhraseGroundingTool