Update src/streamlit_app.py

src/streamlit_app.py

@@ -512,10 +512,12 @@ if st.session_state.page == "uji_kalimat":
         col_space_left, col_center_output, col_space_right = st.columns([1, 4, 1])
         
         with col_center_output:
+        
             st.markdown("""
-            <div class="result-wrap">
+            <div class="result-wrap" style="padding-bottom: 2rem; margin-bottom: 1.5rem;">
                 <p class="section-label">Output Analisis</p>
-                <p class="section-title">Hasil Deteksi Sentimen</p>
+                <p class="section-title" style="margin-bottom: 0;">Hasil Deteksi Sentimen</p>
+            </div>
             """, unsafe_allow_html=True)
 
             try:
@@ -526,7 +528,7 @@ if st.session_state.page == "uji_kalimat":
 
             text = clean_text(user_input)
 
-            with st.spinner("🤖 Sedang mengekstraksi sentimen dengan 5 Model..."):
+            with st.spinner("Mengekstraksi sentimen dengan 5 Model..."):
                 time.sleep(0.5)
                 try: v_label = "positive" if vader.polarity_scores(text)['compound'] > 0.05 else ("negative" if vader.polarity_scores(text)['compound'] < -0.05 else "neutral")
                 except: v_label = "neutral"
@@ -581,8 +583,6 @@ if st.session_state.page == "uji_kalimat":
                         </div>
                         """, unsafe_allow_html=True)
 
-            st.markdown("</div>", unsafe_allow_html=True)
-
 
 # ==============================================================================
 # HALAMAN 2 — ANALISIS BATCH
@@ -656,10 +656,12 @@ elif st.session_state.page == "analisis_batch":
         col_b_space1, col_b_content, col_b_space2 = st.columns([1, 8, 1])
         
         with col_b_content:
-            st.markdown('<div class="result-wrap">', unsafe_allow_html=True)
+            
             st.markdown("""
-            <p class="section-label">Hasil Pemrosesan</p>
-            <p class="section-title">Dashboard Analisis</p>
+            <div class="result-wrap" style="padding-bottom: 2rem; margin-bottom: 1.5rem;">
+                <p class="section-label">Hasil Pemrosesan</p>
+                <p class="section-title" style="margin-bottom: 0;">Dashboard Analisis</p>
+            </div>
             """, unsafe_allow_html=True)
 
             tweet_files = sorted(tweet_files, key=lambda x: x.name)
@@ -825,7 +827,7 @@ elif st.session_state.page == "analisis_batch":
                                     st.table(pd.DataFrame(corr_data))
 
                                     # Scatter
-                                    st.markdown("🔵 Pola Distribusi Scatter Plot")
+                                    st.subheader("🔵 Pola Distribusi Scatter Plot")
                                     cols = st.columns(3)
                                     for idx2, method in enumerate(["vader","textblob","bertweet","roberta","roberta_large"]):
                                         with cols[idx2 % 3]:
@@ -855,7 +857,7 @@ elif st.session_state.page == "analisis_batch":
 
                                     # Kesimpulan
                                     st.markdown("<hr class='vbc-divider'>", unsafe_allow_html=True)
-                                    st.subheader("📝 Kesimpulan Otomatis")
+                                    st.subheader("📝 Kesimpulan")
 
                                     max_idx = df_merged["log_return"].idxmax()
                                     min_idx = df_merged["log_return"].idxmin()
@@ -882,7 +884,5 @@ elif st.session_state.page == "analisis_batch":
                     except Exception as e:
                         st.error(f"⚠️ Terjadi kesalahan saat mengambil atau memproses data API CoinGecko: {e}")
 
-            st.markdown('</div>', unsafe_allow_html=True)
-
     elif analyze_batch_btn and not tweet_files:
         st.warning("⚠️ Silakan unggah minimal satu file .txt terlebih dahulu.")