streamlit_app.py

import streamlit
import pandas
import requests
import snowflake.connector

streamlit.title("My Parents New Healthy Diner")

streamlit.header('Breakfast Menu')
streamlit.text('Omega 3 & Blueberry Oatmeal')
streamlit.text('Kale, Spinach & Rocket Smoothie')
streamlit.text('Hard-Boiled Free-Range Egg')

streamlit.header('🍌🥭 Build Your Own Fruit Smoothie 🥝🍇')

# Let's put a pick list here so they can pick the fruit they want to include 
my_fruit_list = pandas.read_csv("https://uni-lab-files.s3.us-west-2.amazonaws.com/dabw/fruit_macros.txt")
my_fruit_list = my_fruit_list.set_index('Fruit')

fruits_selected = streamlit.multiselect("Pick some fruits:", list(my_fruit_list.index), ['Avocado', 'Strawberries'])
fruits_to_show = my_fruit_list.loc[fruits_selected]
streamlit.dataframe(fruits_to_show)

streamlit.header("Fruityvice Fruit Advice!")
fruit_choice = streamlit.text_input('What fruit would you like information about?','Kiwi')
streamlit.write('The user entered ', fruit_choice)
fruityvice_response = requests.get("https://fruityvice.com/api/fruit/" + fruit_choice)

# write your own comment -what does the next line do? 
fruityvice_normalized = pandas.json_normalize(fruityvice_response.json())
# write your own comment - what does this do?
streamlit.dataframe(fruityvice_normalized)

my_cnx = snowflake.connector.connect(**streamlit.secrets["snowflake"])
my_cur = my_cnx.cursor()
my_cur.execute("SELECT * FROM fruit_load_list")
my_data_rows = my_cur.fetchall()
streamlit.header("The fruit load list contains:")
streamlit.dataframe(my_data_rows)

streamlist.write('Thanks for adding ', add_my_fruit)
my_cur.execute("insert into fruit_load_list values ('from streamlit')") ;