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app.py

@@ -284,13 +284,6 @@ with gr.Blocks(title="PINO — Physics-Informed Neural Olfaction") as demo:
     add_btn.click(_add_row, [ingredient_table, add, add_parts], ingredient_table)
     run.click(predict, [arm, ingredient_table], [out_plot, out_text])
 
-    gr.Examples(
-        examples=[
-            ["OpenPOM (genuine 256-d)", [["Linalool  [78-70-6]", 30], ["Linalyl acetate  [115-95-7]", 20], ["gamma-Terpinene  [99-85-4]", 5]]],
-        ],
-        inputs=[arm, ingredient_table],
-        label="Try an example",
-    )
     gr.Markdown(
         "*Model: PhysicsInformedMixtureTransformer over OpenPOM / Morgan embeddings + Dortmund-UNIFAC "
         "evaporation physics. Trained on 5,708 empirical formulations (molecule-disjoint holdout). "
@@ -298,4 +291,4 @@ with gr.Blocks(title="PINO — Physics-Informed Neural Olfaction") as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.queue().launch(server_name="0.0.0.0", server_port=int(os.environ.get("PORT", 7860)))