Update app.py

app.py

@@ -46,11 +46,28 @@ df = pd.read_sql_query(query, conn)
 conn.close()
 '''
 
+# Create a sample DataFrame with 3,000 records and 20 columns
+num_records = 3000
+num_columns = 20
+
+data = {
+    f"column_{i}": np.random.randint(0, 100, num_records) for i in range(num_columns)
+}
+
+# Randomize the year and city columns
+years = list(range(2000, 2023))  # Range of years
+cities = ["New York", "Los Angeles", "Chicago", "Houston", "Miami"]  # List of cities
+
+data["year"] = [random.choice(years) for _ in range(num_records)]
+data["city"] = [random.choice(cities) for _ in range(num_records)]
+
+table = pd.DataFrame(data)
+
 data = {
     "year": [1896, 1900, 1904, 2004, 2008, 2012],
     "city": ["athens", "paris", "st. louis", "athens", "beijing", "london"]
 }
-table = pd.DataFrame.from_dict(data)
+#table = pd.DataFrame.from_dict(data)
 
 
 # Load the chatbot model
@@ -175,10 +192,10 @@ iface = gr.Interface(sqlquery, "text", "html", css="""
 
 combine_interface = gr.TabbedInterface(
     interface_list=[
-        chat_interface,
-        sql_interface
+        sql_interface,
+        chat_interface
     ],
-    tab_names=['Chatbot' ,'SQL Chat'],
+    tab_names=['SQL Chat' ,'Chatbot'],
 )
 
 if __name__ == '__main__':