Temp: disable GPU queue for testing IPFS HLS streaming

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

app/routers/runs.py

@@ -227,7 +227,11 @@ async def create_stream_run(
         logger.warning(f"Failed to store recipe in cache: {e}")
         # Continue anyway - run will still work, just won't appear in /recipes
 
-    # Submit Celery task to GPU queue for hardware-accelerated rendering
+    # Submit Celery task - uses GPU queue if NVIDIA available, otherwise default
+    # Note: GPU worker needs image rebuild for IPFS HLS support, using default for now
+    import os
+    use_gpu_queue = os.environ.get("USE_GPU_QUEUE", "false").lower() == "true"
+    task_queue = 'gpu' if use_gpu_queue else None  # None = default queue
     task = run_stream.apply_async(
         kwargs=dict(
             run_id=run_id,
@@ -239,7 +243,7 @@ async def create_stream_run(
             sources_sexp=request.sources_sexp,
             audio_sexp=request.audio_sexp,
         ),
-        queue='gpu',
+        queue=task_queue,
     )
 
     # Store in database for durability