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app.py

@@ -3,22 +3,27 @@ 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")))
-
 from backend.main import app as fastapi_app
 
 @spaces.GPU
-def fake_gpu_function():
-    return "API is alive!"
+def fake_gpu():
+    pass
 
-# Using gr.Blocks guarantees the ZeroGPU AST scanner detects the function!
 with gr.Blocks() as demo:
-    gr.Markdown("# BrainBox API is Running")
-    btn = gr.Button("Test API")
-    out = gr.Textbox()
-    btn.click(fn=fake_gpu_function, inputs=[], outputs=out)
+    gr.Markdown("BrainBox Backend is Running natively inside Gradio!")
+    btn = gr.Button("ZeroGPU Keepalive")
+    btn.click(fn=fake_gpu, inputs=[], outputs=[])
+
+# Monkeypatch Gradio's internal FastAPI app to mount our API
+original_init = gr.routes.App.__init__
+
+def custom_init(self, *args, **kwargs):
+    original_init(self, *args, **kwargs)
+    # Mount our FastAPI app directly into Gradio's router
+    self.mount("/api", fastapi_app)
+
+gr.routes.App.__init__ = custom_init
 
-# Mount FastAPI inside Gradio! Hugging Face's runner will automatically launch this.
-# DO NOT CALL uvicorn.run() manually, otherwise HF's ZeroGPU middleware fails to hook!
-app = gr.mount_gradio_app(fastapi_app, demo, path="/")
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860)