Update app.py

app.py

@@ -6,7 +6,7 @@ import pickle
 from sklearn.preprocessing import StandardScaler
 from sklearn.ensemble import RandomForestClassifier
 import matplotlib.pyplot as plt
-from PIL import Image as PILImage  # Renamed PIL to avoid conflict with Streamlit's Image
+
 
 # Load pre-trained model and scaler
 with open('scalers.pkl', 'rb') as scaler_file:
@@ -70,12 +70,6 @@ def main():
         initial_sidebar_state="collapsed"
     )
 
-    # Load the image
-    image = PILImage.open("fraud_detection_image.jpg")
-
-    # Display the image
-    st.image(image, use_column_width=True)
-
     # Sidebar - User input fields
     st.sidebar.title("Input Parameters")
     user_input = {}