remove CUDA checks from startup for ZeroGPU compatibility

README.md

@@ -9,6 +9,7 @@ app_file: app.py
 pinned: false
 license: apache-2.0
 short_description: Find anomalies in logs using AI. Paste logs, get insights.
+hardware: zero-gpu
 tags:
 - log-analysis
 - anomaly-detection

app.py

@@ -338,14 +338,13 @@ result = analyzer.analyze_file(Path("system.log"))
 
 
 # Startup logging
+# NOTE: Do NOT check torch.cuda here - ZeroGPU only allocates GPU inside @spaces.GPU functions
 logger.info("=" * 60)
 logger.info("Cordon Space starting...")
 logger.info(f"Python version: {sys.version}")
 logger.info(f"Gradio version: {gr.__version__}")
 logger.info(f"PyTorch version: {torch.__version__}")
-logger.info(f"CUDA available: {torch.cuda.is_available()}")
-if torch.cuda.is_available():
-    logger.info(f"CUDA device: {torch.cuda.get_device_name(0)}")
+logger.info("CUDA check deferred to @spaces.GPU function (ZeroGPU)")
 logger.info("=" * 60)
 
 # Create and launch the demo

app_test.py

@@ -0,0 +1,24 @@
+"""
+Minimal test app to verify Gradio 6 + HF Spaces works
+"""
+import sys
+print("=" * 60, flush=True)
+print("TEST APP STARTING", flush=True)
+print(f"Python: {sys.version}", flush=True)
+
+import gradio as gr
+print(f"Gradio imported: {gr.__version__}", flush=True)
+
+import torch
+print(f"PyTorch imported: {torch.__version__}", flush=True)
+print(f"CUDA available: {torch.cuda.is_available()}", flush=True)
+
+# Simple interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Test App Running!")
+    gr.Textbox(label="If you see this, the app works!")
+
+print("Launching...", flush=True)
+demo.launch(server_name="0.0.0.0", server_port=7860)
+print("LAUNCHED!", flush=True)
+