Update app.py

app.py

@@ -4,27 +4,28 @@ import psycopg2
 import pandas as pd
 
 
-import streamlit as st
-import psycopg2
-
-# Initialize connection.
-# Uses st.experimental_singleton to only run once.
-@st.experimental_singleton
-def init_connection():
-    return psycopg2.connect(**st.secrets["postgres"])
-
-conn = init_connection()
+# Function to get data from the TimescaleDB
+def get_data():
+ # Connect to your PostgreSQL database
+    conn = psycopg2.connect(
+        dbname="postgres",
+        user="postgres",
+        password="database",
+        host="localhost",
+        port="5432"
+        )
+    cur = conn.cursor()
+    cur.execute("SELECT BRAND, MODEL ,LAUNCH_YR FROM CARS LIMIT 100;")
+    data = cur.fetchall()
+    cur.close()
+    conn.close()
+    return data
 
-# Perform query.
-# Uses st.experimental_memo to only rerun when the query changes or after 10 min.
-@st.experimental_memo(ttl=600)
-def run_query(query):
-    with conn.cursor() as cur:
-        cur.execute(query)
-        return cur.fetchall()
+# Streamlit application
+st.title('Cars-Data')
 
-rows = run_query("SELECT * from CARS;")
+data = get_data()
+df = pd.DataFrame(data, columns=['BRAND', 'MODEL','LAUNCH_YR'])
 
-# Print results.
-for row in rows:
-    st.write(f"{row[0]} has a :{row[1]}:")
+st.write("## Latest 10 Records from cars")
+st.dataframe(df)