Update app.py

app.py

@@ -1,10 +1,11 @@
-from pathlib import Path
+import gradio as gr
 import torch, numpy as np, pandas as pd
+import seaborn as sns
+from pathlib import Path
 from sklearn.linear_model import LinearRegression
 from sklearn.model_selection import train_test_split
 from sklearn.metrics import r2_score
 from torch import tensor
-import seaborn as sns
 
 def car_purchase(sex, age, annual_salary, credit_card_debt, net_worth):
     input_list = [[int(age), int(sex_value), float(annual_salary), float(credit_card_debt)]]