Update app.py

app.py

@@ -5,6 +5,27 @@ import io
 import numpy as np
 from streamlit_option_menu import option_menu
 
+# Function to add a background image
+def add_bg_from_local(image_path):
+    with open(image_path, "rb") as image_file:
+        encoded_string = base64.b64encode(image_file.read())
+    st.markdown(
+        f"""
+        <style>
+        .stApp {{
+            background-image: url("data:image/{"png"};base64,{encoded_string.decode()}");
+            background-size: cover;
+            background-repeat: no-repeat;
+            background-attachment: fixed;
+        }}
+        </style>
+        """,
+        unsafe_allow_html=True
+    )
+
+# Add background image
+add_bg_from_local('flower.png')
+
 def load_image():
     uploaded_file = st.file_uploader(label='Pick an image to test')
     if uploaded_file is not None:
@@ -42,7 +63,7 @@ def main():
     with st.sidebar:
         selected = option_menu(
             menu_title="Main Menu",
-            options=["About", "Extensive Classifier", "Local Classifier", "Project Details"],
+            options=["About", "Local Classifier", "Extensive Classifier", "Project Details"],
             icons=["info-circle", "camera", "search", "clipboard-list"],
             menu_icon="cast",
             default_index=0,
@@ -61,8 +82,8 @@ def main():
             400L
         """)
 
-    elif selected == "Extensive Classifier":
-        st.title('Extensive Classifier')
+    elif selected == "Local Classifier":
+        st.title('Local Classifier')
         st.write("This is a demo of an image classification model trained on the Oxford Flower Dataset.")
         st.write("To test the model, upload an image of a flower and click the 'Run on image' button.")
         
@@ -77,8 +98,8 @@ def main():
             st.markdown(f'<h4 style="color:blue;">Flower Type: <span style="color:black;">{flower}</span></h4>', unsafe_allow_html=True)
             st.markdown(f'<h4 style="color:green;">Closeness: <span style="color:black;">{closeness}%</span></h4>', unsafe_allow_html=True)
 
-    elif selected == "Local Classifier":
-        st.title('Local Classifier')
+    elif selected == "Extensive Classifier":
+        st.title('Extensive Classifier')
         st.write("This section will contain extensive classifier details and options.")
         # Add your extensive classifier code here