Update app.py

app.py

@@ -32,7 +32,7 @@ def salarybracket(age, workclass, education, education_num, marital_status, occu
     inputs = np.array([[float(age), float(workclass_value), float(education_value), float(education_num), float(marital_status_value), float(occupation_value), float(relationship_value), float(race_value), float(gender_value), float(capital_gain), float(capital_loss), float(hours_per_week), float(native_country_value)]])
     prediction = model.predict(inputs)
     prediction_value = prediction[0][0]  # Assuming the prediction is a scalar
-    result = "Income_bracket lesser than or equal to 50K - ↓ " if prediction_value <= 0.5 else "Income_bracket greater than 50K - ↑ "
+    result = "Income_bracket lesser than or equal to 50K 😊↓ " if prediction_value <= 0.5 else "Income_bracket greater than 50K 😄↑ "
     return f"{result}"
 
 # Convert mapping to Gradio dropdown options