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app.py

@@ -1,22 +1,25 @@
 import sys
 import os
 import gradio as gr
+import spaces
 
 # Add src to python path so neural_archaeology module is found
-sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "src" )))
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "src")))
 
 from backend.main import app as fastapi_app
 
-def welcome():
-    return "BrainBox Backend API is running! Access the /docs endpoint."
+# Dummy GPU function to satisfy ZeroGPU hardware requirements
+@spaces.GPU
+def fake_gpu_function():
+    return "BrainBox Backend API is running! Access the frontend to use it."
 
-# Dummy Gradio app to satisfy Hugging Face Spaces routing
+# Dummy Gradio app to satisfy Hugging Face Spaces routing requirements
 demo = gr.Interface(
-    fn=welcome,
-    inputs=[],
+    fn=fake_gpu_function, 
+    inputs=[], 
     outputs="text",
     title="BrainBox API Core"
 )
 
-# Mount FastAPI inside Gradio! Hugging Face automatically detects and runs 'app'
+# Mount FastAPI inside Gradio! Hugging Face's runner will automatically launch this.
 app = gr.mount_gradio_app(fastapi_app, demo, path="/")