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# import library
import pandas as pd
import numpy as np
import streamlit as st
# library for visualization
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
# Function untuk menjalankan streamlit model prediksi
def run():
# Title
st.title('Exploratory Data Analysis (EDA)')
st.write('---')
# Judul visualisasi 1
st.write('### Distribusi label')
st.image('distribusiLabel.png')
st.write('---')
# Judul visualisasi 2
st.write('### Gambar Sign Language Gesture')
st.image('gambarLabel.png')
st.write('---')
# Create by Hafidz
st.markdown(
"""
<style>
.right-align {
text-align: right;
}
</style>
""",
unsafe_allow_html=True
)
st.markdown(
"<p class='right-align'>Created by Muhammad Hafidz Adityaswara</p>",
unsafe_allow_html=True
)
# Menjalankan perintah setelah halaman terbuka
if __name__ == "__main__":
run()
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