Initial Commit Huggingface

app.py

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+import streamlit as st
+import eda
+import prediction
+from streamlit_option_menu import option_menu
+
+with open("./style.css") as f:
+    st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)
+
+st.sidebar.header("Heart Failure Classification")
+
+with st.sidebar:
+    st.write("Ediashta Revindra - FTDS-020")
+    selected = option_menu(
+        "Menu",
+        [
+            "Dataset",
+            "Distribution",
+            "Boxplot",
+            "Correlation Matrix",
+            "Prediksi Klasifikasi",
+        ],
+        icons=["database", "bar-chart", "box", "link-45deg", "code-square"],
+        menu_icon="cast",
+        default_index=1,
+    )
+
+if selected == "Distribution":
+    eda.distribution()
+elif selected == "Boxplot":
+    eda.boxplot()
+elif selected == "Dataset":
+    eda.dataset()
+elif selected == "Correlation Matrix":
+    eda.corr_matrix()
+elif selected == "Prediksi Klasifikasi":
+    prediction.run()

eda.py

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+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
+
+st.set_page_config(
+    page_title="FIFA 2022 - EDA", layout="wide", initial_sidebar_state="expanded"
+)
+
+# dataset
+dataset = "https://raw.githubusercontent.com/ediashta/p1-ftds-020-rmt-g3-ediashta/main/h8dsft_P1G3_Ediashta.csv"
+data = pd.read_csv(dataset)
+
+cat_col = ["anaemia", "diabetes", "high_blood_pressure", "sex", "smoking"]
+num_col = [
+    "age",
+    "creatinine_phosphokinase",
+    "ejection_fraction",
+    "platelets",
+    "serum_creatinine",
+    "serum_sodium",
+    "time",
+]
+
+data_ord = data[cat_col]
+data_num = data[num_col]
+
+
+def dataset():
+    # distribution plot
+    st.title("Heart Failure Classification")
+    st.subheader("Dataset")
+    st.dataframe(data)
+
+    # column description
+    st.subheader("Column Description")
+
+    col1, col2 = st.columns(2)
+    col1.markdown("* **age** : Umur ")
+    col1.markdown("* **anaemia** : Penurunan Sel Darah Merah (**boolean**)")
+    col1.markdown(
+        "* **creatinine_phosphokinase** : Tingkat Enzim CPK pada darah (**mcg/L**)"
+    )
+    col1.markdown("* **diabetes** : Status diabetes (**boolean**)")
+    col1.markdown(
+        "* **ejection_fraction** : Persentase darah keluar dari jantung pada tiap kontraksi (**percentage**)"
+    )
+    col1.markdown("* **high_blood_pressure** : Status Hipertensi (**boolean**)")
+    col1.markdown("* **platelets** : Platelets pada darah (**kiloplatelets/mL**) ")
+    col2.markdown(
+        "* **serum_creatinine** : Tingkat serum kreatinin pada darah (**mg/dL**) "
+    )
+    col2.markdown("* **serum_sodium** : Tingkat serum sodium pada darah (**mEq/L**)")
+    col2.markdown("* **sex** : Jenis Kelamin (**binary**)")
+    col2.markdown("* **smoking** : Status merokok (**boolean**)")
+    col2.markdown("* **time** : Periode follow-up (**days**)")
+    col2.markdown("* **DEATH_event** : Status kematian saat follow-up (**boolean**)")
+
+
+def distribution():
+    # distribution plot
+    st.title("Heart Failure Classification")
+    st.subheader("Distribution")
+
+    col1, col2 = st.columns(2)
+
+    # Death Event Bar Plot
+    fig = plt.figure(figsize=(10, 6))
+    col1.write("Death Event Barplot")
+    sns.countplot(data=data, x="DEATH_EVENT", palette="coolwarm")
+    col1.pyplot(fig)
+
+    # Death Event Bar Plot
+    fig = plt.figure(figsize=(10, 6))
+    col2.write("Age Distribution")
+    sns.histplot(
+        data=data, x="age", kde=True, bins=30, hue="DEATH_EVENT", palette="coolwarm"
+    )
+    col2.pyplot(fig)
+
+
+def boxplot():
+    # distribution plot
+    st.title("Heart Failure Classification")
+    st.subheader("Boxplot")
+
+    fig, axs = plt.subplots(2, 4, figsize=(20, 10))
+
+    for i, x in enumerate(data_num):
+        if i < 4:
+            axs[0, i].set_title(x)
+            axs[0, i].boxplot(data[x])
+        elif 7 >= i >= 4:
+            axs[1, i - 4].set_title(x)
+            axs[1, i - 4].boxplot(data[x])
+            axs[1, 3].axis("off")
+
+    fig.tight_layout()
+
+    st.pyplot(fig)
+
+
+def corr_matrix():
+    # distribution plot
+    st.title("Heart Failure Classification")
+    st.subheader("Correlation")
+
+
+if __name__ == "__main__":
+    run()

list_nom_cols.txt

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+["sex"]

list_num_cols.txt

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+["age", "creatinine_phosphokinase", "ejection_fraction", "platelets", "serum_creatinine", "serum_sodium", "time"]

list_ord_cols.txt

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+["anaemia", "high_blood_pressure", "smoking"]

model_pipeline.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b62a802d0a75369815408635de99cc36c37b83f44a1694980aa10a260450bd00
+size 197575

requirements.txt

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+seaborn
+pandas
+matplotlib
+plotly
+Pillow
+scikit-learn==1.2.2

style.css

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+/* Logo */
+/* Adapted from Zachary Blackwood */
+[data-testid="stSidebar"] {
+                background-image: url(https://streamlit.io/images/brand/streamlit-logo-secondary-colormark-darktext.png);
+                background-size: 200px;
+                background-repeat: no-repeat;
+                background-position: 4px 20px;
+            }
+
+
+/* Card */
+/* Adapted from https://startbootstrap.com/theme/sb-admin-2 */
+div.css-1r6slb0.e1tzin5v2 {
+    background-color: #FFFFFF;
+    border: 1px solid #CCCCCC;
+    padding: 5% 5% 5% 10%;
+    border-radius: 5px;
+    
+    border-left: 0.5rem solid #9AD8E1 !important;
+    box-shadow: 0 0.15rem 1.75rem 0 rgba(58, 59, 69, 0.15) !important;
+    
+}
+
+label.css-mkogse.e16fv1kl2 {
+    color: #36b9cc !important;
+    font-weight: 700 !important;
+    text-transform: uppercase !important;
+}
+
+
+/* Move block container higher */
+div.block-container.css-18e3th9.egzxvld2 {
+  margin-top: -5em;
+}
+
+
+/* Hide hamburger menu and footer */
+div.css-r698ls.e8zbici2 {
+  display: none;
+}
+
+footer.css-ipbk5a.egzxvld4 {
+  display: none;
+}
+
+footer.css-12gp8ed.eknhn3m4 {
+  display: none;
+}
+
+div.vg-tooltip-element {
+  display: none;
+}
+