Update app.py

app.py

@@ -7,6 +7,7 @@ import numpy as np
 from sklearn.model_selection import train_test_split
 import gradio as gr
 import matplotlib.pyplot as plt
+import timm
 
 
 #Data preparation
@@ -48,5 +49,6 @@ with gr.Blocks(title=title) as demo:
     btn.click(visualize_input_data, outputs= gr.Plot(label='Visualizing input dataset') )
 
     model_reloaded = timm.create_model('hf_hub:sklearn-docs/anomaly-detection', pretrained=True)
+    
     gr.Markdown( f"## In progress")
 demo.launch()