import streamlit as st
import pandas as pd
import numpy as np
import yfinance as yf
import altair as alt
import plotly.figure_factory as ff
import pydeck as pdk
from vega_datasets import data as vds
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from streamlit_image_comparison import image_comparison


def on_input_change():
    user_input = st.session_state.user_input
    st.session_state.past.append(user_input)
    st.session_state.generated.append(
        {"data": "The messages from Bot\nWith new line", "type": "normal"}
    )


def on_btn_click():
    del st.session_state.past[:]
    del st.session_state.generated[:]


def main():
    st.title(" Stock Forecasting App")
    uploaded_file = st.file_uploader("Choose a file", type=["jpg", "png", "mp3"])
    value = st.slider(
        " Select Horizon Period", min_value=0, max_value=100, value=50, key=74
    )
    value = st.slider(" Folds", min_value=0, max_value=100, value=50, key=95)
    if st.button(" start"):
        st.write("Button clicked!")
    st.title(" Training")
    (
        col1,
        col2,
    ) = st.columns(2)
    with col1:
        st.table(
            {
                "Country": ["USA", "Canada", "UK", "Australia"],
                "Population (millions)": [331, 38, 66, 25],
                "GDP (trillion USD)": [22.675, 1.843, 2.855, 1.488],
            }
        )
    with col2:
        data = {"key": "value", "name": "John Doe", "age": 30}
        st.json(data)
    st.title(" Forecast")
    (
        col1,
        col2,
    ) = st.columns(2)
    with col1:
        st.line_chart(
            pd.DataFrame(
                {
                    "Apple": yf.download("AAPL", start="2023-01-01", end="2023-07-31")[
                        "Adj Close"
                    ],
                    "Google": yf.download(
                        "GOOGL", start="2023-01-01", end="2023-07-31"
                    )["Adj Close"],
                    "Microsoft": yf.download(
                        "MSFT", start="2023-01-01", end="2023-07-31"
                    )["Adj Close"],
                }
            )
        )
    with col2:
        data = pd.DataFrame(
            {"X": [1, 2, 3, 4, 5], "Y1": [10, 16, 8, 14, 12], "Y2": [5, 8, 3, 6, 7]}
        )
        st.area_chart(data)
    st.bar_chart(
        pd.DataFrame(np.random.randn(20, 3), columns=["Apple", "Banana", "Cherry"])
    )


if __name__ == "__main__":
    main()