Update app.py

app.py

@@ -3,11 +3,12 @@ from streamlit_option_menu import option_menu
 import json
 from streamlit_lottie import st_lottie
 from PIL import Image
+
 page_bg_img = '''
 <style>
 body {
-background-image: url("https://images.unsplash.com/photo-1542281286-9e0a16bb7366");
-background-size: cover;
+    background-image: url("https://images.unsplash.com/photo-1542281286-9e0a16bb7366");
+    background-size: cover;
 }
 </style>
 '''
@@ -45,10 +46,10 @@ if selected == 'About me':
     st.write('I have been learning Machine learning since 2021 and have Made more than 50 projects in the field of Machine Learning')
     st.write('---')
 if selected == 'Tools and Experience':
-    st.header('Tools and Experience')
+    st.header('Tools and Expertise')
     col1,col2 = st.columns(2)
     with col1:
-        st.write('Below are the tools I use to train AI and the Machine Learning and Deep Learning models I have expertise in')
+        st.write('# Below are the tools I use to train AI and the Machine Learning and Deep Learning models I have expertise in')
     with col2:
         st_lottie(lottiemaker('Tools.json'),speed=1,width=300,height=300)
 
@@ -105,6 +106,16 @@ if selected == 'Tools and Experience':
     with col4:
         st.button("Segmentation using YOLO")  
 
+    col1,col2,col3,col4 = st.columns(4)
+    with col1:
+        st.button("\n \t StyleGan \t \n")
+    with col2:
+        st.button("Facebook Prophet model for timeceries prediction")
+    with col3:
+        st.button("Bidirectional Encoder Representations from Transformers/n(BERT)")
+    with col4:
+        st.button("Recurrent Neural Network(RNN) and Long Stort Term Memory(LSTM)")
+
     st.write('# Data Preprocessing and Visualisation')
     col1,col2,col3,col4 = st.columns(4)
     with col1:
@@ -123,7 +134,18 @@ if selected == 'Tools and Experience':
     with col1:
         st.button('\n \t Streamlit \t \n')
 
+    st.write("---")
+
 elif selected == 'Projects':
-    st.write(selected)
+    st.header('Projects')
+    st.write('I have made more than 50 projects in fields including Cnn, Gan, Machine Learning, Yolo object detection and segmentation, Pix2pix, Cyclegan and more')
+    st.write('Below are some models(one from each category)')
+    options = ['Cyclegan', 'Pix2Pix', 'DCGAN','yOLO Segmentation','Unet','Machine Learning Text classifier']
+
+# Use st.multiselect to create the multiselect dropdown
+    selected_options = st.multiselect('Select options:', options)
+
+# Display the selected options
+    st.write('You selected:', selected_options)
 else:
     st.write(selected)