final commit

app.py

@@ -1,8 +1,12 @@
 import streamlit as st 
 import prediction
+import eda
 
-# page = st.sidebar.selectbox('Pilih Halaman :', ('EDA', 'Prediction'))
+page = st.sidebar.selectbox('Pilih Halaman :', ('Prediction', 'EDA'))
 # if page == 'EDA':
 #     eda.run()
 # else:
-prediction.run()
+if page == 'Prediction':
+    prediction.run()
+else:
+    eda.run()

eda.py

@@ -0,0 +1,26 @@
+
+import streamlit as st
+from PIL import Image 
+
+def run():
+
+    # membuat title
+    st.title('Computer Vision Artificial Neural Network')
+
+    # membuat subheader
+    st.subheader('EDA Between Daisy and Dandelion Flower')
+
+    # menambahkan gambar 
+    image = Image.open('header2.jpg')
+    st.image(image)
+
+    st.write('#### Dataset Images')
+    # menambahkan gambar
+    image1 = Image.open('eda.png')
+    st.image(image1)
+
+    st.write('##### Dataset source : Kaggle')
+    st.write('###### https://www.kaggle.com/datasets/alsaniipe/flowers-dataset')
+
+if __name__ == '__main__':
+    run()