Update src/streamlit_app.py

src/streamlit_app.py

@@ -361,7 +361,7 @@ with col_btn1:
     is_uji = st.session_state.page == "uji_kalimat"
     css_class = "btn-orange" if is_uji else "btn-ghost"
     st.markdown(f'<div class="{css_class}">', unsafe_allow_html=True)
-    if st.button("📝 Uji Kalimat", use_container_width=True, key="nav_uji"):
+    if st.button("Uji Kalimat", use_container_width=True, key="nav_uji"):
         set_page("uji_kalimat"); st.rerun()
     st.markdown('</div>', unsafe_allow_html=True)
 
@@ -369,7 +369,7 @@ with col_btn2:
     is_batch = st.session_state.page == "analisis_batch"
     css_class = "btn-orange" if is_batch else "btn-ghost"
     st.markdown(f'<div class="{css_class}">', unsafe_allow_html=True)
-    if st.button("📊 Analisis Batch", use_container_width=True, key="nav_batch"):
+    if st.button("Analisis Batch", use_container_width=True, key="nav_batch"):
         set_page("analisis_batch"); st.rerun()
     st.markdown('</div>', unsafe_allow_html=True)
 
@@ -580,11 +580,11 @@ elif st.session_state.page == "analisis_batch":
 
     with col_upload:
         st.markdown("""
-        <p class="batch-eyebrow">Analisis Masal · Batch Processing</p>
+        <p class="batch-eyebrow">Analisis Batch Processing</p>
         <h2 class="batch-title">Analisis Batch<br>Data Tweet</h2>
         <p class="batch-sub">
-            Unggah file rekam jejak tweet (.txt) untuk diekstraksi dan 
-            dianalisis secara masal terhadap volatilitas pasar Bitcoin.
+            Unggah file tweets (.txt) untuk diekstraksi dan 
+            dianalisis terhadap volatilitas harga Bitcoin.
         </p>""", unsafe_allow_html=True)
 
         tweet_files = st.file_uploader(
@@ -608,7 +608,6 @@ elif st.session_state.page == "analisis_batch":
         st.markdown('</div>', unsafe_allow_html=True)
 
     with col_img_b:
-        # Menambahkan margin-top agar gambar agak ke bawah
         st.markdown("<div style='margin-top: 4rem;'></div>", unsafe_allow_html=True)
         try:
             st.image(img_batch, use_container_width=True)
@@ -734,7 +733,7 @@ elif st.session_state.page == "analisis_batch":
                         else:
                             st.markdown("<hr class='vbc-divider'>", unsafe_allow_html=True)
 
-                            st.markdown("🗣️ Data Sentimen Mentah")
+                            st.markdown("🗣️ Data Sentimen")
                             raw_display_cols = ["date","raw_tweet","vader","textblob","bertweet","roberta","roberta_large"]
                             st.dataframe(df[raw_display_cols], use_container_width=True, hide_index=True)
 
@@ -754,12 +753,12 @@ elif st.session_state.page == "analisis_batch":
                             for col in models:
                                 daily_display_cols.extend([col, f"{col}_label"])
 
-                            st.markdown("₿ Historis Harga & Volatilitas Bitcoin")
+                            st.markdown("₿ Data Harga & Volatilitas Bitcoin")
                             st.dataframe(df_price[["date","price","pct_change","log_return"]], use_container_width=True, hide_index=True)
 
                             df_merged = pd.merge(df_price, df_sentiment_daily, on="date", how="inner")
 
-                            st.markdown("🗂️ Dataset Final (Terintegrasi)")
+                            st.markdown("🗂️ Data Final")
                             final_display_cols = ["date","price","pct_change","log_return"] + [c for c in daily_display_cols if c != "date"]
                             st.dataframe(df_merged[final_display_cols], use_container_width=True, hide_index=True)
 
@@ -790,22 +789,8 @@ elif st.session_state.page == "analisis_batch":
 
                             st.table(pd.DataFrame(corr_data))
 
-                            # Line chart
-                            st.subheader("📈 Trend Analisis: Sentiment vs BTC Volatility")
-                            fig_line, ax_line = plt.subplots(figsize=(14, 6))
-                            ax_line.plot(df_merged["date"], df_merged["log_return"], label="BTC Log Return", color="#f7931a", linewidth=3)
-                            colors = ["#3B82F6","#10B981","#EC4899","#14B8A6","#6366F1"]
-                            for i, method in enumerate(["vader","textblob","roberta","roberta_large","bertweet"]):
-                                ax_line.plot(df_merged["date"], df_merged[method], label=f"Sentiment: {method.upper()}", color=colors[i], linewidth=1.5, linestyle="--", alpha=0.8)
-                            ax_line.set_title("Pergerakan Sentimen vs Log Return Bitcoin", fontsize=14, pad=15, fontweight='bold')
-                            ax_line.set_xlabel("Tanggal", fontsize=11)
-                            ax_line.set_ylabel("Nilai Metrik", fontsize=11)
-                            ax_line.legend(loc='upper left', bbox_to_anchor=(1, 1), frameon=True)
-                            plt.tight_layout()
-                            st.pyplot(fig_line)
-
                             # Scatter
-                            st.markdown("### 🔵 Pola Distribusi Scatter")
+                            st.markdown("🔵 Pola Distribusi Scatter Plot")
                             cols = st.columns(3)
                             for idx2, method in enumerate(["vader","textblob","bertweet","roberta","roberta_large"]):
                                 with cols[idx2 % 3]:
@@ -819,6 +804,20 @@ elif st.session_state.page == "analisis_batch":
                                     plt.tight_layout()
                                     st.pyplot(fig_s)
 
+                            # Line chart
+                            st.subheader("📈 Trend Analisis: Sentiment vs BTC Volatility")
+                            fig_line, ax_line = plt.subplots(figsize=(14, 6))
+                            ax_line.plot(df_merged["date"], df_merged["log_return"], label="BTC Log Return", color="#f7931a", linewidth=3)
+                            colors = ["#3B82F6","#10B981","#EC4899","#14B8A6","#6366F1"]
+                            for i, method in enumerate(["vader","textblob","roberta","roberta_large","bertweet"]):
+                                ax_line.plot(df_merged["date"], df_merged[method], label=f"Sentiment: {method.upper()}", color=colors[i], linewidth=1.5, linestyle="--", alpha=0.8)
+                            ax_line.set_title("Pergerakan Sentimen vs Log Return Bitcoin", fontsize=14, pad=15, fontweight='bold')
+                            ax_line.set_xlabel("Tanggal", fontsize=11)
+                            ax_line.set_ylabel("Nilai Metrik", fontsize=11)
+                            ax_line.legend(loc='upper left', bbox_to_anchor=(1, 1), frameon=True)
+                            plt.tight_layout()
+                            st.pyplot(fig_line)
+
                             # Kesimpulan
                             st.markdown("<hr class='vbc-divider'>", unsafe_allow_html=True)
                             st.subheader("📝 Kesimpulan Otomatis")