Update app.py

app.py

@@ -24,7 +24,7 @@ st.markdown("""
         h1 {
             color: #002b45;
             font-family: 'Segoe UI', sans-serif;
-            font-size: 32px;
+            font-size: 26px;
         }
         .stTextInput > div > div > input,
         .stTextArea textarea {
@@ -46,24 +46,24 @@ st.markdown("""
     </style>
 """, unsafe_allow_html=True)
 
-# ----------- Header Section -----------
-col1, col2 = st.columns([1, 9])
-with col1:
-    st.image("https://cdn-icons-png.flaticon.com/512/2721/2721203.png", width=48)
-with col2:
-    st.markdown("<h1 style='margin-bottom: 0.2rem;'>EquiPulse: Real-Time Stock News Sentiment</h1>", unsafe_allow_html=True)
+# ----------- Header Section with Icon and Title in One Line -----------
+st.markdown("""
+    <div style="display: flex; align-items: center; gap: 14px; margin-bottom: 1.5rem;">
+        <img src="/mnt/data/e8fea233-2331-4389-8f6d-6f33f097d6ed.png" width="42" height="42">
+        <h1 style="margin: 0;">EquiPulse: Real-Time Stock News Sentiment</h1>
+    </div>
+""", unsafe_allow_html=True)
 
-# ----------- Description -----------
+# ----------- Clean Description Section -----------
 st.markdown("""
-<div style='font-size:16px; line-height:1.6;'>
-    Uncover real-time sentiment from financial headlines mentioning your target companies.<br>
-    <b>💬 Try:</b> <i>Apple, Tesla, and Microsoft</i>
+<div style='font-size:16px; line-height:1.6; color: #333333;'>
+    Analyze financial sentiment from real-time news headlines related to your selected companies.
 </div>
 """, unsafe_allow_html=True)
 
 # ----------- Input Area -----------
 st.markdown("#### 🎯 Enter Your Target Company Tickers")
-free_text = st.text_area("Example: Apple, Nvidia, Google", height=90)
+free_text = st.text_area("Example: AAPL, NVDA, NKE", height=90)
 
 ner_pipeline = get_ner_pipeline()
 tickers = extract_org_entities(free_text, ner_pipeline)