import streamlit as st
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import plotly.express as px
from PIL import Image

def run():
    #Membuat Title
    st.title("FIFA 2022 Player Rating Prediction")

    #Membuat Sub Header
    st.subheader("EDA untuk Analisa Dataset FIFA 2022")

    #Menambahkan Gambar
    image = Image.open("bawls.jpg")
    st.image(image, caption="FIFA 2022")

    #Menambahkan Deskripsi
    st.write("Page ini dibuat oleh ***Fauzan Risqullah***")
    st.write("#Hello")
    st.write("##Hello")
    st.write("###Hello")

    #Membuat Garis Lurus
    st.markdown("---")

    #Load Data
    df = pd.read_csv("https://raw.githubusercontent.com/ardhiraka/FSDS_Guidelines/master/p1/v3/w1/P1W1D1PM%20-%20Machine%20Learning%20Problem%20Framing.csv")
    st.dataframe(df)

    #Membuat Bar Plot
    st.write("### Plot AttackingWorkRate")
    fig = plt.figure(figsize=(15, 5))
    sns.countplot(x="AttackingWorkRate", data = df)
    st.pyplot(fig)

    #Membuat Histogram
    st.write("### Histogram of Rating")
    fig2 = plt.figure(figsize=(15, 5))
    sns.histplot(df["Overall"], bins=30, kde=True)
    st.pyplot(fig2)

    #Membuat Histogram Berdasarkan Input User
    st.write("### Histogram Berdasarkan Input User")
    pilihan = st.selectbox("Pilih column", ("Age", "Weight", "Height", "ShootingTotal"))
    fig3 = plt.figure(figsize=(15, 5))
    sns.histplot(df[pilihan], bins=30, kde=True)
    st.pyplot(fig3)

    #Membuat Plotly Plot
    st.write("### Plotly Plot - ValueEUR dengan Overall")
    fig4 = px.scatter(df, x="ValueEUR", y="Overall", hover_data=["Name", "Age"])
    st.plotly_chart(fig4)

if __name__ == "__main__":
    run()