added application file

app.py

@@ -0,0 +1,28 @@
+import streamlit as st
+import pandas as pd
+
+# Mocking the lists
+positive_texts = ["Text A", "Text B", "Text C"]
+positive_values = [0.8365079365079348, 0.12222222222222279, 0.04603174603174587]
+
+negative_texts = ["Text X", "Text Y", "Text Z"]
+negative_values = [-0.12063492063492065, -0.16349206349206302, -0.053968253968253166]
+
+# Create a Streamlit app
+st.title('Important Variables Analysis')
+
+# Create a function to generate a table
+def create_table(texts, values, title):
+    df = pd.DataFrame({"Feature Explanation": texts, 'Value': values})
+    st.markdown(f'### {title}')  # Markdown for styling
+    st.table(df)  # Display a simple table
+
+# Arrange tables horizontally using Streamlit columns
+col1, col2 = st.columns(2)
+
+# Display tables in Streamlit columns
+with col1:
+    create_table(positive_texts, positive_values, 'Important Suspicious Variables')
+
+with col2:
+    create_table(negative_texts, negative_values, 'Important Unsuspicious Variables')