Update app.py

app.py

@@ -10,8 +10,8 @@ def salarybracket(age, workclass, education, education_num, marital_status, occu
     inputs = np.array([[age, workclass, education, education_num, marital_status, occupation, relationship, race, gender, capital_gain, capital_loss, hours_per_week, native_country]])
     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"
-    return f"Result: {result}"
+    result = "Income_bracket lesser than or equal to 50K ⬇️" if prediction_value <= 0.5 else "Income_bracket greater than 50K ⬆️"
+    return f"{result}"
 
     
 # Create the Gradio interface