Update application file

app.py

@@ -1,5 +1,72 @@
 import streamlit as st
+from PIL import Image
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+# Page title
+st.title("Chris Capobianco's ML Portfolio")
 
+st.markdown('Hello, welcome to my ML portfolio.')
+st.markdown('Please have a look at the descriptions below, and select a project from the sidebar.')
+
+st.header('Projects', divider='red')
+
+mv = Image.open("assets/movie.jpg")
+# wp = Image.open("assets/weather.png")
+sm = Image.open("assets/stock-market.png")
+mu = Image.open("assets/music.jpg")
+llm = Image.open("assets/llm.png")
+
+with st.container():
+    text_column, image_column = st.columns((3,1))
+    with text_column:
+        st.subheader("Movie Recommendation", divider="green")
+        st.markdown("""
+            - Created a content based recommendation system using cosine similarity
+            - Trained on almost 5k movies and credits from the TMDB dataset available at Kaggle
+        """)
+    with image_column:
+        st.image(mv)
+
+# with st.container():
+#     text_column, image_column = st.columns((3,1))
+#     with text_column:
+#         st.subheader("Weather Classification", divider="green")
+#         st.markdown("""
+#             - Created a Random Forest classification model to predict the weather
+#             - Trained on three years of data for the city of Seattle, Washington
+#         """)
+#     with image_column:
+#         st.image(wp)
+
+with st.container():
+    text_column, image_column = st.columns((3,1))
+    with text_column:
+        st.subheader("Stock Market Forecast", divider="green")
+        st.markdown("""
+            - Created a two layer GRU model to forecast of stock prices
+            - Trained on 2006-2018 closing prices of four well known stocks
+        """)
+    with image_column:
+        st.image(sm)
+
+with st.container():
+    text_column, image_column = st.columns((3,1))
+    with text_column:
+        st.subheader("Generative Music", divider="green")
+        st.markdown("""
+            - Created a LSTM model to generate music
+            - Trained on MIDI files from Final Fantasy series
+        """)
+    with image_column:
+        st.image(mu)
+
+with st.container():
+    text_column, image_column = st.columns((3,1))
+    with text_column:
+        st.subheader("Fine Tuned LLM", divider="green")
+        st.warning("**Work In Progress**")
+        st.markdown("""
+            - Fine tuned a LLM to act like math assistant
+            - The base model is Meta's Llama 3.1 (8B) Instruct
+        """)
+    with image_column:
+        st.image(llm)