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app.py

@@ -919,19 +919,14 @@ if __name__ == "__main__":
         ankigen_interface = create_ankigen_interface()
         logger.info("Launching AnkiGen Gradio interface...")
 
-        # For HuggingFace Spaces, use their port config
-        server_port = int(os.environ.get("GRADIO_SERVER_PORT", 7860))
-
-        # Only specify server_name and port in local development
-        launch_kwargs = {"share": False}
-        if not os.environ.get("SPACE_ID"):  # Not on HuggingFace Spaces
-            launch_kwargs.update(
-                {"server_name": "127.0.0.1", "server_port": server_port}
+        # Configure for HuggingFace Spaces vs local development
+        if os.environ.get("SPACE_ID"):  # On HuggingFace Spaces
+            # Let HuggingFace handle all the configuration
+            ankigen_interface.queue(default_concurrency_limit=2, max_size=10).launch()
+        else:  # Local development
+            # Use auto port finding for local dev
+            ankigen_interface.queue(default_concurrency_limit=2, max_size=10).launch(
+                server_name="127.0.0.1", share=False
             )
-
-        ankigen_interface.queue(
-            default_concurrency_limit=2,  # Allow 2 concurrent executions
-            max_size=10,  # Maximum 10 users in queue
-        ).launch(**launch_kwargs)
     except Exception as e:
         logger.critical(f"Failed to launch Gradio interface: {e}", exc_info=True)