Update app.py

app.py

@@ -1,57 +1,56 @@
 import streamlit as st
 from func import fetch_news, analyze_sentiment, extract_org_entities
-
 import time
 
 # ---------------- Page Setup ----------------
 st.set_page_config(page_title="Stock News Sentiment Analysis", layout="centered")
 
-st.markdown("""
-    <style>
-        .main { background-color: #f9fbfc; }
-        .stTextInput>div>div>input, .stTextArea textarea {
-            font-size: 16px;
-            padding: 0.5rem;
-        }
-        .stButton>button {
-            background-color: #4CAF50;
-            color: white;
-            font-size: 16px;
-            padding: 0.5rem 1rem;
-            border-radius: 8px;
-        }
-        .stButton>button:hover {
-            background-color: #45a049;
-        }
-    </style>
-""", unsafe_allow_html=True)
+# ---------------- Page Header ----------------
+st.markdown(
+    """
+    <h1 style="display: flex; align-items: center;">
+        <img src="https://upload.wikimedia.org/wikipedia/commons/thumb/e/e8/Finance_Icon_Set_2013_-_Analytics.svg/1024px-Finance_Icon_Set_2013_-_Analytics.svg.png" 
+             alt="icon" width="40" style="margin-right: 10px;"> 
+        Stock News Sentiment Analysis
+    </h1>
+    """,
+    unsafe_allow_html=True
+)
 
-# ---------------- User Interface ----------------
-st.title("\U0001F4CA Stock News Sentiment Analysis")
-st.markdown("""
-This tool analyzes the sentiment of news articles related to companies you mention in text.
-\U0001F4A1 *Try input tickers like:* `AAPL, NKE, META`
-**Note:** If news fetching fails, it may be due to changes in the Finviz website or access restrictions.
-""")
+st.markdown(
+    """
+    <p style="font-size:17px; margin-top: 0.5rem;">
+        Analyze the latest news sentiment of companies mentioned in your input.
+    </p>
+    <p style="font-size:17px;">
+        <strong>💡 Try input like:</strong> <em>I want to check Apple, Tesla, and Microsoft.</em>
+    </p>
+    <p style="font-size:17px;">
+        <strong>Note:</strong> News may fail to load if the Finviz website structure changes or access is restricted.
+    </p>
+    """,
+    unsafe_allow_html=True
+)
 
+# ---------------- Input Area ----------------
 free_text = st.text_area("Enter text mentioning companies:", height=100)
 tickers = extract_org_entities(free_text)
 
 if tickers:
-    cleaned_input = ", ".join(tickers)
-    st.markdown(f"\U0001F50E **Identified Tickers:** `{cleaned_input}`")
+    st.markdown(f"\U0001F50E **Identified Tickers:** `{', '.join(tickers)}`")
 else:
     tickers = []
 
-# ---------------- Button Trigger ----------------
+# ---------------- Analysis Trigger ----------------
 if st.button("Get News and Sentiment"):
     if not tickers:
         st.warning("Please mention at least one recognizable company.")
     else:
         progress_bar = st.progress(0)
         total_stocks = len(tickers)
+
         for idx, ticker in enumerate(tickers):
-            st.subheader(f"Analyzing {ticker}...")
+            st.subheader(f"🔍 Analyzing {ticker}")
             news_list = fetch_news(ticker)
 
             if news_list:
@@ -73,12 +72,12 @@ if st.button("Get News and Sentiment"):
                 else:
                     overall_sentiment = "Neutral"
 
-                st.write(f"**Top 3 News Articles for {ticker}**")
+                st.write(f"**Top 3 News Articles for {ticker}:**")
                 for i, news in enumerate(news_list[:3], 1):
-                    sentiment = sentiments[i-1]
-                    st.markdown(f"{i}. [{news['title']}]({news['link']}) - **{sentiment}**")
+                    sentiment = sentiments[i - 1]
+                    st.markdown(f"{i}. [{news['title']}]({news['link']}) — **{sentiment}**")
 
-                st.write(f"**Overall Sentiment for {ticker}: {overall_sentiment}**")
+                st.success(f"**Overall Sentiment for {ticker}: {overall_sentiment}**")
             else:
                 st.write(f"No news available for {ticker}.")