Update app.py

app.py

@@ -1,6 +1,7 @@
 import numpy as np
 import pandas as pd
 from sklearn.ensemble import RandomForestClassifier
+import gradio as gr
 
 df = pd.read_csv("credit_risk_dataset.csv")
 
@@ -83,7 +84,6 @@ with gr.Blocks() as demo:
         with gr.Column(scale=1,min_width=600):
             gr.Image("Credit_risk_logo.jpg").style(height='7')
 
-import gradio as gr
 demo = gr.Interface(
     fn = credit_run,
     inputs = [