Update app.py

app.py

@@ -194,7 +194,7 @@ def predict_inverse(hardness_target, ys_target, formula, request: gr.Request):
                                               acquisition_type ='LCB',       # LCB acquisition
                                               acquisition_weight = 0.1)   # Exploration exploitation
     # it may take a few seconds
-    opt.run_optimization(max_iter=1)
+    opt.run_optimization(max_iter=20)
     opt.plot_convergence()
     x_best = opt.X[np.argmin(opt.Y)]
     best_params = dict(zip(
@@ -216,7 +216,7 @@ def predict_inverse(hardness_target, ys_target, formula, request: gr.Request):
     return list(result.keys())[2:]
 
 
-example_inputs = [420, 1020]
+example_inputs = ["Al0.25 Co1 Fe1 Ni1", 820, 1800]
 
 css_styling = """#submit {background: #1eccd8} 
 submit {color: white} 
@@ -278,7 +278,7 @@ with gr.Blocks(css=css_styling, title=page_title) as demo:
                      #   output_interpretation = gr.Plot(label="Interpretation")
 
     with gr.Row():
-        gr.Examples([example_inputs], [input_hardness, input_yield_strength])
+        gr.Examples([example_inputs], [formula, input_hardness, input_yield_strength])