fixing text format

app.py

@@ -4,9 +4,9 @@ import pandas as pd
 import streamlit as st
 import altair as alt
  
-st.title('My First Streamlit App for IS 445 Data Viz Homework 6')
+st.title('My Streamlit App for IS 445 Data Viz Homework 6')
 
-st.text("The URL for this app is: https://huggingface.co/spaces/jnaiman/is445_demo")
+st.text("The URL for this app is: https://huggingface.co/spaces/Chloecky/is445_hw6")
 
 ufo_url = "https://github.com/UIUC-iSchool-DataViz/is445_data/raw/main/ufo-scrubbed-geocoded-time-standardized-00.csv"
 st.text(f"The URL for the raw UFO data is {ufo_url}")
@@ -51,16 +51,9 @@ chart = alt.vconcat(line, scatter).resolve_legend(color='independent', size='ind
 
 st.altair_chart(chart, theme="streamlit", use_container_width=True)
 
-st.text("For the first visualization, plot 1 'Monthly UFO Sightings after 2010', \
-        I created a line chart highlighting the changes in UFO sightings in Illinois State over time. \
-        The temporal data 'Year-Month' was chosen as x-axis to help understand the monthly fluctuations. \
-        Points on the line and tooltips help audiences identify specifc monthly counts easily. \
-        For colors and marks, I employed standard line and markers without additional distracting color encodings to keep it clean. \
-        A brush selection is applied to this graph, letting user to choose the time interval and then update the corresponding data in plot 2 to display only the sightings reported within the chosen period. \
-        If I had more time, I would consider adding dropdowns to let users select the year and state they are interested in, allowing them to explore more on the UFO dataset. \
-        There is no overlap with the analysis done for HW5 in this plot.")
+st.markdown("For the first visualization, plot 1 'Monthly UFO Sightings after 2010', \nI created a line chart highlighting the changes in UFO sightings in Illinois State over time. \nThe temporal data 'Year-Month' was chosen as x-axis to help understand the monthly fluctuations. \nPoints on the line and tooltips help audiences identify specifc monthly counts easily. \nFor colors and marks, I employed standard line and markers without additional distracting color encodings to keep it clean. \nA brush selection is applied to this graph, letting user to choose the time interval and then update the corresponding data in plot 2 to display only the sightings reported within the chosen period. \nIf I had more time, I would consider adding dropdowns to let users select the year and state they are interested in, allowing them to explore more on the UFO dataset. \nThere is no overlap with the analysis done for HW5 in this plot.")
 
-st.text("In the second visualization, the geographical distribution, shape, and duration time of these UFO sightings in Illinois after 2010 are shown. \
+st.markdown("In the second visualization, the geographical distribution, shape, and duration time of these UFO sightings in Illinois after 2010 are shown. \
         I chose scatter plot since the longitude and latitude can be clearly visualized within Illinois coordinates. (The scales for x axis and y axis are selected according to Illinois coordinates.)\
         Each point represents a sighting, colored categorically by the shape (see legends). \
         Category20 is used for scale in color since there are 20 different types of shapes. \