import streamlit as st
from datetime import time, datetime
import time as t
from time import time as now
import pandas as pd
import pandas_profiling
import numpy as np
from streamlit_pandas_profiling import st_profile_report
from io import StringIO
import requests
from pathlib import Path
from streamlit_elements import elements, dashboard, mui, media

st.set_page_config(page_title="Francesco Daimon Fernicola", page_icon=":milky_way:", layout="wide")

with st.container():
    st.subheader("Hello, and welcome to my official webpage! I am Daimon :wink:")
    st.title("PhD Candidate in Machine Translation / Translator / Mountain enthusiast")
    st.write("I am passionate about finding new ways to effectively use and understand Machine Translation and effectively evaluating its quality.")
    st.write("""
    [Github](https://github.com/FrancescoFernicola)
    [Unibo](https://www.unibo.it/sitoweb/francesco.fernicola2)
    [LinkedIn](https://www.linkedin.com/in/francesco-fernicola-69a0771b7/?locale=en_US)
    [Twitter](https://twitter.com/FrancescoDaimon)
    """)

st.header('st.button')

if st.button('Say hello'):
    st.write('Why hello there')
else:
    st.write('Goodbye')

st.header('st.slider')
st.subheader('Slider')
age = st.slider('How old are you?', 0, 120, 25)
st.write(f"I'm {age} years old")


st.subheader('Range Slider')

values = st.slider(
    'Select a range of values',
    0.0, 100.0, (25.0, 75.0)
)
st.write(f"Values: {values}")


st.subheader('Range time slider')

appointment = st.slider(
    "Schedule your appointment:",
    value=(time(11,30), time(12,45)),
    format="hh:mm"
)
st.write(f"You're scheduled for: {appointment}")


st.subheader('Datetime slider')

start_time = st.slider(
    "When do you start?",
    value=datetime(2023, 1, 1, 9, 30),
    format="DD/MM/YY - hh:mm"
)

st.write(f"Start time: {start_time}")




st.header('Line Chart')



chart_data = pd.DataFrame(
    np.random.randn(20, 3),
    columns=['a', 'b', 'c']
)

st.line_chart(chart_data)



with st.container():
    option = st.selectbox(
        'What is your favorite color?',
        ('Blue', 'Red', 'Green', 'More')
        )

    if not option == 'More':
        st.write(f'Your favorite color is {option}')
    else:
        new_option = st.multiselect(
            'What are your favorite colors',
            ['Green', 'Yellow', 'Red', 'Blue'],
            ['Yellow', 'Red']
        )
        st.write(f'Your favorite colors are {", ".join(new_option)}')

st.header('st.checkbox')

st.write('What would you like to order?')

icecream = st.checkbox('Ice cream')
coffee = st.checkbox('Coffee')
cola = st.checkbox('Cola')

if icecream:
    st.write("Great! Heres some more :icecream:")

if coffee:
    st.write("Okay, here's some coffee :coffee:")

if cola:
    st.write("Here you go 🥤")


#st.header('streamlig_pandas_profiling')

#df = pd.read_csv('https://raw.githubusercontent.com/dataprofessor/data/master/penguins_cleaned.csv')

#pr = df.profile_report()
#st_profile_report(pr)


#st.write("Contents of the '.streamlit/config.toml' file of this app")

st.code("""
[theme]
primaryColor="#F39C12"
backgroundColor="#2E86C1"
secondaryBackgroundColor="#AED6F1"
textColor="#FFFFFF"
font="monospace"
""")

number = st.sidebar.slider('Select a number:', 0, 10, 5)
st.write(f'Selected number from slider widget is: {number}')

#st.header("This is taken from the .streamlit/secrets.toml")

#st.write(f"Secret message: {st.secrets['message']}")
#st.header("Remember to add the file to the .gitignore!")



st.title('st.file_uploader')

st.subheader('Input TSV/CSV')
uploaded_file = st.file_uploader("Choose a file")

if uploaded_file is not None:
    if uploaded_file.name.endswith('.tsv'):
        data = pd.read_csv(uploaded_file, sep="\t")
    else:
        data = pd.read_csv(uploaded_file)

    st.subheader("DataFrame")
    st.write(data)
    st.write(data.describe())
    
else:
    st.info("☝️ Upload a TSV/CSV file")


with st.expander('About this app'):
    st.write('This app shows the various options you can use (and should use) to customize your page')
    st.image('https://imgs.xkcd.com/comics/app.png', width=250)
    st.write('Below you will also display the progress of the calculation via "st.progress()"')



st.sidebar.header('Input')
user_name = st.sidebar.text_input('What is your name?')
user_emoji = st.sidebar.selectbox('Choose an emoji', ['', '😄', '😆', '😊', '😍', '😴', '😕', '😱'])
user_food = st.sidebar.selectbox('What is your favorite food?', ['', 'Tom Yum Kung', 'Burrito', 'Lasagna', 'Hamburger', 'Pizza'])

st.header('Output')

col1, col2, col3 = st.columns(3)

with col1:
  if user_name != '':
    st.write(f'👋 Hello {user_name}!')
  else:
    st.write('👈  Please enter your **name**!')

with col2:
  if user_emoji != '':
    st.write(f'{user_emoji} is your favorite **emoji**!')
  else:
    st.write('👈 Please choose an **emoji**!')

with col3:
  if user_food != '':
    st.write(f'🍴 **{user_food}** is your favorite **food**!')
  else:
    st.write('👈 Please choose your favorite **food**!')


#my_bar = st.progress(0)

#for percent_complete in range(100):
#    t.sleep(0.05)
#    my_bar.progress(percent_complete + 1)

st.metric(label="F1", 
    value="81.1",
    delta="-0.1")


st.title('st.cache')

a0 = now()
st.subheader('Using st.cache')

@st.cache(suppress_st_warning=True)
def load_data_a():
    dataframe = pd.DataFrame(
        np.random.rand(2000000, 5),
        columns=['a', 'b', 'c', 'd', 'e']
    )
    return dataframe

st.write(load_data_a())
a1 = now()
st.info(a1-a0)

b0 = now()


st.subheader('Not using st.cache')

def load_data_b():
  dataframe = pd.DataFrame(
    np.random.rand(2000000, 5),
    columns=['a', 'b', 'c', 'd', 'e']
  )
  return dataframe

st.write(load_data_b())
b1 = now()
st.info(b1-b0)

st.title('st.session_state')

def lbs_to_kg():
    st.session_state.kg = st.session_state.lbs/2.2046

def kg_to_lbs():
    st.session_state.lbs = st.session_state.kg*2.2046

st.header('Input kg/lbs')
col1, spacer, col2 = st.columns([2, 1, 2])

with col1:
    punds = st.number_input("Pounds:", key = "lbs", on_change = lbs_to_kg)

with col2:
    kilogram = st.number_input("Kilograms:", key = "kg", on_change= kg_to_lbs)

st.header('Output')
st.write("st.session_state object: ", st.session_state)



st.title('🏀 Bored API app')

st.sidebar.header("Input Boredom")
selected_type = st.sidebar.selectbox('Select an activity type', ["education", "recreational", "social", "diy", "charity", "cooking", "relaxation", "music", "busywork"])

suggested_activity_url = f'http://www.boredapi.com/api/activity?type={selected_type}'
json_response = requests.get(suggested_activity_url)
suggested_activity = json_response.json()


c1, c2 = st.columns(2)

with c1:
    with st.expander('About this app'):
        st.write('Bored stiff? The **BORED API APP** gives suggestions on activities that you can do when bored. This is powered by Bored API.')
with c2:
    with st.expander('JSON data'):
        st.write(suggested_activity)

st.header('Suggested activity')
st.info(suggested_activity['activity'])

col1, col2, col3 = st.columns(3)

with col1:
    st.metric(label="Number of Participants", value=suggested_activity['participants'], delta='')
with col2:
    st.metric(label="Type of Activity", value=suggested_activity['type'].capitalize(), delta='')
with col3:
    st.metric(label='Price', value=suggested_activity['price'], delta='')



media_url = st.text_input("Media URL", value="https://www.youtube.com/watch?v=9EcjWd-O4jI&ab_channel=TechnotronicVEVO")

layout = [
    # Media item is positioned in coordinates x=0 and y=3, and takes 6/12 columns and has a height of 4.
    dashboard.Item("media", 0, 2, 12, 4),
]

with elements("demo"):

    # Create a new dashboard with the layout specified above.
    #
    # draggableHandle is a CSS query selector to define the draggable part of each dashboard item.
    # Here, elements with a 'draggable' class name will be draggable.
    #
    # For more information on available parameters for dashboard grid:
    # https://github.com/react-grid-layout/react-grid-layout#grid-layout-props
    # https://github.com/react-grid-layout/react-grid-layout#responsive-grid-layout-props

    with dashboard.Grid(layout, draggableHandle=".draggable"):
        with mui.Card(key="media", sx={"display": "flex", "flexDirection": "column"}):
            mui.CardHeader(title="Media Player", className="draggable")
            with mui.CardContent(sx={"flex": 1, "minHeight": 0}):

                # This element is powered by ReactPlayer, it supports many more players other
                # than YouTube. You can check it out there: https://github.com/cookpete/react-player#props

                media.Player(url=media_url, width="100%", height="100%", controls=True)


def local_css(file_name):
    with open(file_name) as f:
        st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)

local_css("style/style.css")


from transformers import MBartForConditionalGeneration, MBart50TokenizerFast


st.subheader("MBART-50 Translator")

source = "In the beginning the Universe was created. This has made a lot of people very angry and been widely regarded as a bad move."
target = ""
model = MBartForConditionalGeneration.from_pretrained("facebook/mbart-large-50-many-to-many-mmt")
tokenizer = MBart50TokenizerFast.from_pretrained("facebook/mbart-large-50-many-to-many-mmt")


def get_translation(src_code, trg_code, src):

    # translate Hindi to French
    tokenizer.src_lang = src_code
    encoded = tokenizer(src, return_tensors="pt")
    generated_tokens = model.generate(
        **encoded,
        forced_bos_token_id=tokenizer.lang_code_to_id[trg_code]
    )
    trg = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)
    
    return trg

valid_languages = ['en_XX', 'fr_XX', 'de_DE', 'it_IT', 'es_XX']

with st.form("my_form"):
    left_c, right_c = st.columns(2)
    with left_c:
        src_lang = st.selectbox(
        'Source language',
        ('en_XX', 'fr_XX', 'de_DE', 'it_IT', 'es_XX'),

        )
    with right_c:
        trg_lang = st.selectbox(
        'Target language',
        ('fr_XX', 'en_XX', 'de_DE', 'it_IT', 'es_XX')
        )
    source = st.text_area("Source", value=source, height=130, placeholder="Enter the source text...")


    submitted = st.form_submit_button("Translate")
    if submitted:
        if len(source) > 0 and src_lang in valid_languages and trg_lang in valid_languages:
            with st.spinner("Translating..."):
                try:
                    target = get_translation(src_lang, trg_lang, source)[0]
                    st.subheader("Translation done!")
                    target = st.text_area("Target", value=target, height=130)
                except:
                    st.subheader("Translation failed :sad:")
                    
        else:
            st.write("Please enter the source text, source language and target language.")



# ---- CONTACT ----
with st.container():
    st.write("---")
    st.header("Get in Touch With Me!")
    st.write("##")

    contact_form = """
    <form action="https://formsubmit.co/daimon.f@outlook.com" method="POST">
        <input type="hidden" name="_captcha" value="false">
        <input type="text" name="name" placeholder="Your name" required>
        <input type="email" name="email" placeholder="Your email" required>
        <textarea name="message" placeholder="Your message here" required></textarea>
        <button type="submit">Send</button>
    </form>
    """
    left_column, right_column = st.columns(2)
    with left_column:
        st.markdown(contact_form, unsafe_allow_html=True)
    with right_column:
        st.empty()