Update app.py

app.py

@@ -102,7 +102,7 @@ st.markdown("""
 
 st.markdown("""
     <div class="header">
-        <img src="news_logo.jpeg" alt="Logo">
+        <img src="news_logo.jpg" alt="Logo">
         <h1>Daily Mirror News Analyzer</h1>
     </div>
 """, unsafe_allow_html=True)
@@ -117,7 +117,7 @@ st.markdown("""
     """)
 
 # Create tabs for different functionalities
-tab1, tab2, tab3 = st.tabs(["📋 News Classification", "❓ Q&A Pipeline", "✨ Advanced Features"])
+tab1, tab2, tab3 = st.tabs(["News Classification", "Q&A Pipeline", "Advanced Features"])
 
 with tab1:
     
@@ -354,7 +354,7 @@ with st.sidebar:
     st.image("https://via.placeholder.com/150x50?text=Daily+Mirror", width=150)
     st.title("About")
     st.write("""
-        This app helps analyze news content using AI-powered tools:
+        This app helps analyze news content:
         - Classify news into categories
         - Answer questions about news content
         - Perform advanced text analysis
@@ -362,20 +362,15 @@ with st.sidebar:
     
     st.title("Instructions")
     st.write("""
-        1. Upload a CSV file with 'excerpt' column
+        1. Upload a CSV file with 'content' column
         2. Click classify to categorize news
         3. Download results as CSV
         4. Use Q&A tab to ask questions
         """)
     
-    st.title("Model Information")
-    st.write("""
-        - Classification: Fine-tuned DistilBERT
-        - Q&A: RoBERTa-base
-        - Sentiment: DistilBERT-base
-        """)
+
     
-    st.markdown("[View model on Hugging Face](https://huggingface.co/your-username/daily-mirror-news-classifier)")
+    st.markdown("[View model on Hugging Face](https://huggingface.co/Imasha17/News_classification.3)")
 
 # Footer
 st.markdown("---")