Update app.py

app.py

@@ -311,15 +311,15 @@ def predict_both(
     # R model prediction
     r_proba = _predict_r(features)
 
-    py_text = f"Python (Random Forest) cancellation probability: **{py_proba:.3f}**"
-    r_text = f"R (LASSO Logistic Regression) cancellation probability: **{r_proba:.3f}**"
+    py_text = f"Python (Random Forest) cancellation probability: **{py_proba*100:.1f}%**"
+    r_text  = f"R (LASSO Logistic Regression) cancellation probability: **{r_proba*100:.1f}%**"
 
     comp_df = pd.DataFrame(
-        [
-            {"model": "Python Random Forest", "p_cancel": py_proba},
-            {"model": "R LASSO Logistic Regression", "p_cancel": r_proba},
-        ]
-    )
+    [
+        {"model": "Python Random Forest", "p_cancel_%": round(py_proba * 100, 1)},
+        {"model": "R LASSO Logistic Regression", "p_cancel_%": round(r_proba * 100, 1)},
+    ]
+   )
 
     return py_text, r_text, comp_df
 
@@ -346,7 +346,6 @@ def get_dropdown_choices():
 
 with gr.Blocks(
     title="Hotel Booking Cancellation Prediction",
-    theme=gr.themes.Soft(primary_hue="blue"),
     css=open("style.css").read()
 ) as demo:
     gr.Markdown(