Update src/streamlit_app.py
Browse files- src/streamlit_app.py +128 -177
src/streamlit_app.py
CHANGED
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@@ -23,12 +23,11 @@ DetectorFactory.seed = 0
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# SETTING PATH ABSOLUT UNTUK GAMBAR
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# ==============================
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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-
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img_hero = os.path.join(BASE_DIR, "crypto-currency-concept-830px.png")
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img_batch = os.path.join(BASE_DIR, "slice3-1-1536x830.png")
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# ==============================
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# KONFIGURASI HALAMAN
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# ==============================
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st.set_page_config(page_title="SKRIPSI - Sentimen BTC", page_icon="βΏ", layout="wide", initial_sidebar_state="collapsed")
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@@ -36,194 +35,147 @@ if 'page' not in st.session_state:
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st.session_state.page = "uji_kalimat"
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# ==============================
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#
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# ==============================
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st.markdown("""
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<style>
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-
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/* Menyembunyikan elemen
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#MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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header {visibility: hidden;}
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/*
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.block-container {
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padding-top: 2rem !important;
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padding-bottom:
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max-width: 1200px !important;
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}
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/*
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}
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/*
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border-
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}
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}
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/*
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}
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</style>
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""", unsafe_allow_html=True)
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# ==============================
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#
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# ==============================
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if st.session_state.page == "uji_kalimat":
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# TEMA DARK/ORANGE (Premium Landing Page Look)
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st.markdown("""
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<style>
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.stApp {
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background-color: #0F172A; /* Dark Slate Minimalist */
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color: #F8FAFC;
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}
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h1, h2, h3, h4, h5, h6, p, label {
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color: #F8FAFC !important;
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}
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/* Tombol Aksi Utama - Orange Bitcoin */
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div[data-testid="stButton"] > button {
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background-color: #F7931A !important;
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color: #FFFFFF !important;
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border: none;
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box-shadow: 0 4px 6px rgba(247, 147, 26, 0.2);
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}
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div[data-testid="stButton"] > button:hover {
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background-color: #E68310 !important;
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transform: translateY(-2px);
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}
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/* Navigasi Button di Halaman 1 */
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.nav-btn-active > button {
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background-color: transparent !important;
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border: 2px solid #F7931A !important;
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color: #F7931A !important;
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}
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.nav-btn-inactive > button {
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background-color: transparent !important;
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border: 1px solid #475569 !important;
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color: #94A3B8 !important;
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}
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/* Styling Text Area Input */
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.stTextArea textarea {
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background-color: #1E293B !important;
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color: #F8FAFC !important;
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border: 1px solid #334155 !important;
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border-radius: 12px;
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font-size: 1rem;
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padding: 1rem;
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}
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.stTextArea textarea:focus {
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border-color: #F7931A !important;
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box-shadow: 0 0 0 1px #F7931A !important;
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}
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</style>
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""", unsafe_allow_html=True)
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else:
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# TEMA TERANG (Dashboard Analisis Clean)
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st.markdown("""
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<style>
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.stApp {
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background-color: #FFFFFF;
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color: #0F172A;
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}
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h1, h2, h3, h4, h5, h6, label {
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color: #0F172A !important;
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}
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p, span {
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color: #475569 !important;
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}
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/* Tombol Aksi Utama - Dark Navy */
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div[data-testid="stButton"] > button {
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background-color: #0F172A !important;
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color: #FFFFFF !important;
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border: none;
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}
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div[data-testid="stButton"] > button:hover {
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background-color: #1E293B !important;
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transform: translateY(-2px);
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}
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/* Navigasi Button di Halaman 2 */
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.nav-btn-inactive > button {
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background-color: transparent !important;
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border: 1px solid #CBD5E1 !important;
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color: #64748B !important;
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}
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.nav-btn-active > button {
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background-color: transparent !important;
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border: 2px solid #0F172A !important;
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color: #0F172A !important;
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}
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/* Styling Dataframe / Table */
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div[data-testid="stDataFrame"] {
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border: 1px solid #E2E8F0;
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border-radius: 12px;
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overflow: hidden;
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}
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</style>
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""", unsafe_allow_html=True)
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# ==============================
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# HEADER & NAVIGASI
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# ==============================
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def set_page(page_name):
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st.session_state.page = page_name
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col_logo, col_space, col_nav1, col_nav2 = st.columns([3, 4, 1.5, 1.5])
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with col_logo:
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# Logo text
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st.markdown(f"<h3 style='margin:0; padding:10px 0; font-weight:700; color:{color_logo} !important;'>βΏitcoin Sentimen</h3>", unsafe_allow_html=True)
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with col_nav1:
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st.markdown(f'<div class="{btn_class}">', unsafe_allow_html=True)
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if st.button("Uji Kalimat π", use_container_width=True, key="nav_uji"):
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set_page("uji_kalimat")
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st.rerun()
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st.markdown('</div>', unsafe_allow_html=True)
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with col_nav2:
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st.markdown(f'<div class="{btn_class}">', unsafe_allow_html=True)
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if st.button("Analisis Batch π", use_container_width=True, key="nav_batch"):
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set_page("analisis_batch")
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st.rerun()
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st.markdown('</div>', unsafe_allow_html=True)
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# Divider
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st.markdown("<
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# ==============================
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# DOWNLOAD RESOURCES & LOAD MODELS
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# ==============================
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@st.cache_resource
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def download_nltk_resources():
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roberta_large = pipeline("sentiment-analysis", model="siebert/sentiment-roberta-large-english", device=-1, truncation=True, max_length=512)
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return vader, bertweet, roberta, roberta_large
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with st.spinner('Mempersiapkan
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vader, bertweet, roberta, roberta_large = load_all_models()
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# ==============================
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# FUNGSI CLEAN TEXT & MAPPING
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# ==============================
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def clean_text(text):
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text = str(text).lower()
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# ==============================================================================
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# HALAMAN 1: UJI KALIMAT (
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# ==============================================================================
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if st.session_state.page == "uji_kalimat":
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col_text, col_img = st.columns([1.1, 1], gap="large")
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with col_text:
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st.markdown("""
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<div style="padding-top:
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<h1 style="font-size: 3.5rem; line-height: 1.1; margin-bottom:
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Bitcoin Volatility <br><span style="color: #F7931A;">vs Public Sentiment</span>
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</h1>
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<p style='font-size: 1.15rem; font-weight: 400; color: #
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Analisis Volatilitas Harga Bitcoin Terhadap Sentimen Publik Pada Platform X Berbasis Python.
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</p>
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<div style="background-color:
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<p style="margin: 0; font-size: 0.95rem; color: #
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<b>Peneliti:</b> Arya Galuh Saputra (H1D022022)
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</p>
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</div>
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</div>
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""", unsafe_allow_html=True)
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user_input = st.text_area("Masukkan Tweet (Bahasa Inggris):", "Great, Bitcoin just crashed another 10% today.", height=120)
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st.markdown("<br>", unsafe_allow_html=True)
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analyze_btn = st.button("π Analisis Sentimen Sekarang", use_container_width=True)
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try:
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st.image(img_hero, use_container_width=True)
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except Exception:
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st.info(f"Visualisasi Hero akan muncul di sini. (Pastikan file {os.path.basename(img_hero)} tersedia)")
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if analyze_btn:
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st.markdown("<br><hr style='border-color: #
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st.markdown("<h3 style='text-align: center; margin-bottom: 2rem;'>π Hasil Deteksi Sentimen</h3>", unsafe_allow_html=True)
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try:
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if detect(user_input) != 'en':
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st.warning("β οΈ Teks sepertinya bukan bahasa Inggris. Hasil prediksi mungkin memiliki bias.")
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except:
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pass
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text = clean_text(user_input)
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# ==============================================================================
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# HALAMAN 2: ANALISIS BATCH DATA (
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# ==============================================================================
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elif st.session_state.page == "analisis_batch":
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# Tema Matplotlib
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plt.style.use('default')
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sns.set_theme(style="whitegrid", rc={
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"axes.facecolor": "
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"figure.facecolor": "
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"axes.edgecolor": "#E2E8F0",
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"text.color": "#0F172A",
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"xtick.color": "#64748B",
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with col_upload:
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st.markdown("""
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<div style="padding-top: 1rem;">
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<h2 style="font-size: 2.5rem; margin-bottom: 0.5rem; font-weight:
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<p style='font-size: 1.1rem; margin-bottom:
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</div>
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""", unsafe_allow_html=True)
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tweet_files = st.file_uploader("Pilih file Tweet (.txt)", type=['txt'], accept_multiple_files=True)
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with st.expander("π Format TXT yang Didukung"):
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st.code("username | 2024-03-01 14:00:00\nIsi tweet baris pertama di sini\n\nusername2 | 2024-03-01 15:30:00\nIsi tweet baris kedua di sini", language="text")
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st.markdown("<br>", unsafe_allow_html=True)
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st.error("β Data kosong. Pastikan format penulisan TXT benar dan tweet berbahasa Inggris.")
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else:
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# Metrics Dashboard
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st.markdown("
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col_metric1, col_metric2, col_metric3 = st.columns(3)
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col_metric1.metric("Tweet Diproses", f"{total_tweets_uploaded}", border=
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col_metric2.metric("Tweet Diabaikan (Non-EN)", f"{total_tweets_skipped}", border=
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col_metric3.metric("Total Model", "5
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target_dates = sorted(df['date'].unique())
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start_unix = int(datetime.strptime(target_dates[0], "%Y-%m-%d").replace(tzinfo=timezone.utc).timestamp()) - 86400
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end_unix = int(datetime.strptime(target_dates[-1], "%Y-%m-%d").replace(tzinfo=timezone.utc).timestamp()) + 86400
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st.info("π‘
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url = "https://api.coingecko.com/api/v3/coins/bitcoin/market_chart/range"
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params = {"vs_currency": "usd", "from": start_unix, "to": end_unix}
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# SETTING PATH ABSOLUT UNTUK GAMBAR
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# ==============================
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BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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img_hero = os.path.join(BASE_DIR, "crypto-currency-concept-830px.png")
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img_batch = os.path.join(BASE_DIR, "slice3-1-1536x830.png")
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# ==============================
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# KONFIGURASI HALAMAN
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# ==============================
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st.set_page_config(page_title="SKRIPSI - Sentimen BTC", page_icon="βΏ", layout="wide", initial_sidebar_state="collapsed")
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st.session_state.page = "uji_kalimat"
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# ==============================
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# "CSS HACKING" - VANCOUVER BITCOIN VIBE (ORANGE BLUR)
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# ==============================
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st.markdown("""
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<style>
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/* Mengimpor Font Inter (Standar Industri Web Web3/Crypto) */
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&display=swap');
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/* Menyembunyikan elemen bawaan Streamlit */
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#MainMenu {visibility: hidden;}
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footer {visibility: hidden;}
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header {visibility: hidden;}
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/* Pengaturan Font & Background Global */
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html, body, [class*="css"] {
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font-family: 'Inter', sans-serif !important;
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color: #0F172A !important; /* Warna teks gelap utama */
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}
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/* BACKGROUND HACK: Efek "Ngeblur Sedikit Opacity" Warna Oranye.
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Menggunakan radial-gradient untuk menciptakan pendaran (glow) di latar belakang putih.
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*/
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.stApp {
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background-color: #FAFAFC;
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background-image:
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radial-gradient(circle at 10% 10%, rgba(247, 147, 26, 0.12) 0%, transparent 40%),
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radial-gradient(circle at 90% 90%, rgba(247, 147, 26, 0.08) 0%, transparent 40%),
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radial-gradient(circle at 50% 50%, rgba(255, 255, 255, 0.8) 0%, transparent 100%);
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background-attachment: fixed;
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}
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/* Padding Kontainer Utama */
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.block-container {
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padding-top: 2rem !important;
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padding-bottom: 3rem !important;
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max-width: 1200px !important;
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}
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/* STYLING TOMBOL STREAMLIT (Dibuat Mirip Tombol Website Asli)
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*/
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div[data-testid="stButton"] > button {
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| 78 |
+
background-color: #F7931A !important; /* Orange Bitcoin */
|
| 79 |
+
color: #FFFFFF !important;
|
| 80 |
+
border: none !important;
|
| 81 |
+
border-radius: 8px !important;
|
| 82 |
+
font-weight: 600 !important;
|
| 83 |
+
padding: 0.6rem 1.8rem !important;
|
| 84 |
+
box-shadow: 0 4px 10px rgba(247, 147, 26, 0.25) !important;
|
| 85 |
+
transition: all 0.3s ease !important;
|
| 86 |
+
}
|
| 87 |
+
div[data-testid="stButton"] > button:hover {
|
| 88 |
+
background-color: #E68310 !important;
|
| 89 |
+
transform: translateY(-2px) !important;
|
| 90 |
+
box-shadow: 0 6px 15px rgba(247, 147, 26, 0.35) !important;
|
| 91 |
}
|
| 92 |
|
| 93 |
+
/* STYLING TEXT AREA (Glassmorphism & Clean Input)
|
| 94 |
+
*/
|
| 95 |
+
.stTextArea textarea {
|
| 96 |
+
background-color: rgba(255, 255, 255, 0.8) !important;
|
| 97 |
+
backdrop-filter: blur(5px);
|
| 98 |
+
color: #0F172A !important;
|
| 99 |
+
border: 1px solid #CBD5E1 !important;
|
| 100 |
+
border-radius: 10px !important;
|
| 101 |
+
font-size: 1.05rem;
|
| 102 |
+
padding: 1.2rem !important;
|
| 103 |
+
box-shadow: inset 0 2px 4px rgba(0,0,0,0.02) !important;
|
| 104 |
}
|
| 105 |
+
.stTextArea textarea:focus {
|
| 106 |
+
border-color: #F7931A !important;
|
| 107 |
+
box-shadow: 0 0 0 2px rgba(247, 147, 26, 0.3) !important;
|
| 108 |
+
}
|
| 109 |
+
|
| 110 |
+
/* STYLING METRIK KARTU (Tab Analisis Batch)
|
| 111 |
+
*/
|
| 112 |
+
div[data-testid="metric-container"] {
|
| 113 |
+
background-color: rgba(255, 255, 255, 0.95) !important;
|
| 114 |
+
backdrop-filter: blur(10px);
|
| 115 |
+
border: 1px solid #E2E8F0 !important;
|
| 116 |
+
border-left: 5px solid #F7931A !important; /* Garis Oranye Kiri */
|
| 117 |
+
padding: 1.2rem !important;
|
| 118 |
+
border-radius: 12px !important;
|
| 119 |
+
box-shadow: 0 4px 15px rgba(0,0,0,0.03) !important;
|
| 120 |
+
}
|
| 121 |
+
div[data-testid="metric-container"] label {
|
| 122 |
+
color: #64748B !important;
|
| 123 |
+
font-weight: 500 !important;
|
| 124 |
+
}
|
| 125 |
+
div[data-testid="metric-container"] div {
|
| 126 |
+
color: #0F172A !important;
|
| 127 |
+
font-weight: 800 !important;
|
| 128 |
+
}
|
| 129 |
+
|
| 130 |
+
/* Dataframe & Table Modern */
|
| 131 |
+
div[data-testid="stDataFrame"] {
|
| 132 |
+
background-color: white;
|
| 133 |
+
border: 1px solid #E2E8F0;
|
| 134 |
+
border-radius: 12px;
|
| 135 |
+
box-shadow: 0 4px 10px rgba(0,0,0,0.02);
|
| 136 |
}
|
| 137 |
|
| 138 |
+
/* Header Typography */
|
| 139 |
+
h1, h2, h3, h4, h5 {
|
| 140 |
+
color: #0F172A !important;
|
| 141 |
+
font-weight: 800 !important;
|
| 142 |
+
letter-spacing: -0.5px !important;
|
| 143 |
+
}
|
| 144 |
+
p, span, label {
|
| 145 |
+
color: #334155 !important;
|
| 146 |
}
|
| 147 |
</style>
|
| 148 |
""", unsafe_allow_html=True)
|
| 149 |
|
| 150 |
# ==============================
|
| 151 |
+
# HEADER & NAVIGASI (Dibuat ala Navbar Web)
|
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|
|
| 152 |
# ==============================
|
| 153 |
def set_page(page_name):
|
| 154 |
st.session_state.page = page_name
|
| 155 |
|
| 156 |
+
st.markdown("<div style='padding-bottom: 0.5rem;'></div>", unsafe_allow_html=True)
|
| 157 |
+
col_logo, col_space, col_nav1, col_nav2 = st.columns([3, 4, 1.5, 1.5], gap="small")
|
| 158 |
|
| 159 |
with col_logo:
|
| 160 |
+
# Logo text Vancouver Bitcoin style
|
| 161 |
+
st.markdown("<h3 style='margin:0; padding-top:5px; font-weight:800; color:#0F172A !important;'><span style='color:#F7931A;'>βΏitcoin</span> Sentimen</h3>", unsafe_allow_html=True)
|
|
|
|
| 162 |
|
| 163 |
with col_nav1:
|
| 164 |
+
if st.button("π Uji Kalimat", use_container_width=True, key="nav_uji"):
|
|
|
|
|
|
|
| 165 |
set_page("uji_kalimat")
|
| 166 |
st.rerun()
|
|
|
|
| 167 |
|
| 168 |
with col_nav2:
|
| 169 |
+
if st.button("π Analisis Batch", use_container_width=True, key="nav_batch"):
|
|
|
|
|
|
|
| 170 |
set_page("analisis_batch")
|
| 171 |
st.rerun()
|
|
|
|
| 172 |
|
| 173 |
+
# Divider bawah navbar
|
| 174 |
+
st.markdown("<hr style='border: none; height: 1px; background-color: #E2E8F0; margin-top: 10px; margin-bottom: 40px;'>", unsafe_allow_html=True)
|
| 175 |
|
| 176 |
|
| 177 |
# ==============================
|
| 178 |
+
# DOWNLOAD RESOURCES & LOAD MODELS
|
| 179 |
# ==============================
|
| 180 |
@st.cache_resource
|
| 181 |
def download_nltk_resources():
|
|
|
|
| 195 |
roberta_large = pipeline("sentiment-analysis", model="siebert/sentiment-roberta-large-english", device=-1, truncation=True, max_length=512)
|
| 196 |
return vader, bertweet, roberta, roberta_large
|
| 197 |
|
| 198 |
+
with st.spinner('Mempersiapkan mesin AI NLP...'):
|
| 199 |
vader, bertweet, roberta, roberta_large = load_all_models()
|
| 200 |
|
| 201 |
# ==============================
|
| 202 |
+
# FUNGSI CLEAN TEXT & MAPPING
|
| 203 |
# ==============================
|
| 204 |
def clean_text(text):
|
| 205 |
text = str(text).lower()
|
|
|
|
| 229 |
|
| 230 |
|
| 231 |
# ==============================================================================
|
| 232 |
+
# HALAMAN 1: UJI KALIMAT (Mirip Gambar 1 - Tema Terang Oranye)
|
| 233 |
# ==============================================================================
|
| 234 |
if st.session_state.page == "uji_kalimat":
|
| 235 |
col_text, col_img = st.columns([1.1, 1], gap="large")
|
| 236 |
|
| 237 |
with col_text:
|
| 238 |
st.markdown("""
|
| 239 |
+
<div style="padding-top: 1rem;">
|
| 240 |
+
<h1 style="font-size: 3.5rem; line-height: 1.1; margin-bottom: 1rem; font-weight: 800; letter-spacing: -1.5px; color: #0F172A;">
|
| 241 |
Bitcoin Volatility <br><span style="color: #F7931A;">vs Public Sentiment</span>
|
| 242 |
</h1>
|
| 243 |
+
<p style='font-size: 1.15rem; font-weight: 400; color: #475569 !important; margin-bottom: 2rem;'>
|
| 244 |
Analisis Volatilitas Harga Bitcoin Terhadap Sentimen Publik Pada Platform X Berbasis Python.
|
| 245 |
</p>
|
| 246 |
+
<div style="background-color: #FFFFFF; border: 1px solid #E2E8F0; padding: 15px; border-radius: 8px; margin-bottom: 2.5rem; box-shadow: 0 2px 10px rgba(0,0,0,0.02);">
|
| 247 |
+
<p style="margin: 0; font-size: 0.95rem; color: #334155 !important;">
|
| 248 |
+
<span style="color: #F7931A;">π</span> <b>Peneliti:</b> Arya Galuh Saputra (H1D022022)
|
| 249 |
</p>
|
| 250 |
</div>
|
| 251 |
</div>
|
| 252 |
""", unsafe_allow_html=True)
|
| 253 |
|
| 254 |
+
user_input = st.text_area("βοΈ Masukkan Tweet (Bahasa Inggris):", "Great, Bitcoin just crashed another 10% today.", height=120)
|
| 255 |
|
| 256 |
st.markdown("<br>", unsafe_allow_html=True)
|
| 257 |
analyze_btn = st.button("π Analisis Sentimen Sekarang", use_container_width=True)
|
|
|
|
| 260 |
try:
|
| 261 |
st.image(img_hero, use_container_width=True)
|
| 262 |
except Exception:
|
| 263 |
+
st.info(f"Visualisasi Hero akan muncul di sini. (Pastikan file {os.path.basename(img_hero)} tersedia di folder yang sama)")
|
| 264 |
|
| 265 |
if analyze_btn:
|
| 266 |
+
st.markdown("<br><hr style='border-color: #E2E8F0;'><br>", unsafe_allow_html=True)
|
| 267 |
+
st.markdown("<h3 style='text-align: center; margin-bottom: 2rem; color: #0F172A;'>π Hasil Deteksi Sentimen</h3>", unsafe_allow_html=True)
|
| 268 |
|
| 269 |
try:
|
| 270 |
if detect(user_input) != 'en':
|
| 271 |
st.warning("β οΈ Teks sepertinya bukan bahasa Inggris. Hasil prediksi mungkin memiliki bias.")
|
| 272 |
+
except: pass
|
|
|
|
| 273 |
|
| 274 |
text = clean_text(user_input)
|
| 275 |
|
|
|
|
| 305 |
|
| 306 |
|
| 307 |
# ==============================================================================
|
| 308 |
+
# HALAMAN 2: ANALISIS BATCH DATA (Mirip Gambar 2 - Dashboard Modern)
|
| 309 |
# ==============================================================================
|
| 310 |
elif st.session_state.page == "analisis_batch":
|
| 311 |
+
# Tema Matplotlib/Seaborn disesuaikan dengan latar terang transparan
|
| 312 |
plt.style.use('default')
|
| 313 |
sns.set_theme(style="whitegrid", rc={
|
| 314 |
+
"axes.facecolor": "rgba(255,255,255,0.7)",
|
| 315 |
+
"figure.facecolor": "rgba(255,255,255,0)",
|
| 316 |
"axes.edgecolor": "#E2E8F0",
|
| 317 |
"text.color": "#0F172A",
|
| 318 |
"xtick.color": "#64748B",
|
|
|
|
| 325 |
with col_upload:
|
| 326 |
st.markdown("""
|
| 327 |
<div style="padding-top: 1rem;">
|
| 328 |
+
<h2 style="font-size: 2.5rem; margin-bottom: 0.5rem; font-weight: 800; letter-spacing: -1px; color: #0F172A;">Analisis Batch Data</h2>
|
| 329 |
+
<p style='font-size: 1.1rem; color: #475569 !important; margin-bottom: 1.5rem;'>Unggah file rekam jejak tweet (.txt) untuk diekstraksi dan dianalisis secara masal terhadap volatilitas pasar.</p>
|
| 330 |
</div>
|
| 331 |
""", unsafe_allow_html=True)
|
| 332 |
|
| 333 |
+
tweet_files = st.file_uploader("π Pilih file Tweet (.txt)", type=['txt'], accept_multiple_files=True)
|
| 334 |
|
| 335 |
+
with st.expander("π Format TXT yang Didukung (Klik untuk melihat)"):
|
| 336 |
st.code("username | 2024-03-01 14:00:00\nIsi tweet baris pertama di sini\n\nusername2 | 2024-03-01 15:30:00\nIsi tweet baris kedua di sini", language="text")
|
| 337 |
|
| 338 |
st.markdown("<br>", unsafe_allow_html=True)
|
|
|
|
| 414 |
st.error("β Data kosong. Pastikan format penulisan TXT benar dan tweet berbahasa Inggris.")
|
| 415 |
else:
|
| 416 |
# Metrics Dashboard
|
| 417 |
+
st.markdown("<h3 style='margin-bottom: 1.5rem;'>π Ringkasan Pemrosesan</h3>", unsafe_allow_html=True)
|
| 418 |
col_metric1, col_metric2, col_metric3 = st.columns(3)
|
| 419 |
+
col_metric1.metric("Tweet Berhasil Diproses", f"{total_tweets_uploaded}", border=False)
|
| 420 |
+
col_metric2.metric("Tweet Diabaikan (Non-EN)", f"{total_tweets_skipped}", border=False)
|
| 421 |
+
col_metric3.metric("Total Model NLP", "5 Models", border=False)
|
| 422 |
|
| 423 |
target_dates = sorted(df['date'].unique())
|
| 424 |
start_unix = int(datetime.strptime(target_dates[0], "%Y-%m-%d").replace(tzinfo=timezone.utc).timestamp()) - 86400
|
| 425 |
end_unix = int(datetime.strptime(target_dates[-1], "%Y-%m-%d").replace(tzinfo=timezone.utc).timestamp()) + 86400
|
| 426 |
|
| 427 |
+
st.info("π‘ Menarik data harga Bitcoin dari CoinGecko API...")
|
| 428 |
|
| 429 |
url = "https://api.coingecko.com/api/v3/coins/bitcoin/market_chart/range"
|
| 430 |
params = {"vs_currency": "usd", "from": start_unix, "to": end_unix}
|