Update app.py

app.py

@@ -43,12 +43,12 @@ def predict_score(lat, lon):
     score = (1 * np.abs(mu_pred + 0.1)) * 100
 
     # You can apply any post-processing here
-    return {
-        "Score": round(float(score), 3),
-        "Number of current ATMs": round(float(mu_pred), 3),
-        "Number of ideal ATMs" : num_banks
+    return (
+        round(float(score), 3),
+        num_banks,
+        round(float(mu_pred), 3),
         # "Normal Score": round(float(normal_score), 3),
-    }
+    )
 
 # ======== Gradio Interface ========
 interface = gr.Interface(