Update app.py

app.py

@@ -2,6 +2,8 @@ import nltk
 nltk.download('punkt_tab')
 nltk.download('averaged_perceptron_tagger_eng')
 import streamlit as st
+from streamlit_lottie import st_lottie
+import requests
 import time
 from utils import (
     get_bing_news_articles,
@@ -11,6 +13,19 @@ from utils import (
     convert_text_to_hindi_tts,
 )
 from collections import Counter
+# Load Lottie Animation
+def load_lottie_url(url):
+    r = requests.get(url)
+    if r.status_code != 200:
+        return None
+    return r.json()
+
+lottie_animation = load_lottie_url("https://assets10.lottiefiles.com/packages/lf20_tfb3estd.json")
+
+# UI Layout
+st_lottie(lottie_animation, height=300)
+st.markdown("<h1 style='text-align: center; color: #4CAF50;'>Sentiment Analysis Dashboard</h1>", unsafe_allow_html=True)
+
 
 st.title("News Summarization & Sentiment Analysis with Hindi TTS")
 st.write("Enter a company name to fetch news articles, analyze sentiment, and generate a Hindi summary.")