Update src/streamlit_app.py

src/streamlit_app.py

@@ -27,8 +27,8 @@ except ImportError:
 
 # Page config
 st.set_page_config(
-    page_title="🧠 Stroke Classification",
-    page_icon="🧠",
+    page_title="Stroke Classifier",
+    page_icon="",
     layout="wide"
 )
 
@@ -174,7 +174,7 @@ def create_simple_heatmap(img, predictions):
 # Main App
 def main():
     # Header
-    st.markdown('<h1 class="main-header">🧠 AI-Powered Stroke Classification System</h1>', unsafe_allow_html=True)
+    st.markdown('<h1 class="main-header">AI-Powered Stroke Classification System</h1>', unsafe_allow_html=True)
     
     # Debug info
     with st.expander("🔍 Debug Information"):
@@ -226,13 +226,13 @@ def main():
     st.markdown(f'<div class="status-box info"><strong>Model Status:</strong> {st.session_state.model_status}</div>', unsafe_allow_html=True)
     
     # Manual reload button
-    if st.button("🔄 Reload Model", help="Try to reload the model"):
+    if st.button("Reload Model", help="Try to reload the model"):
         st.session_state.model_loaded = False
         st.rerun()
     
     # Sidebar
     with st.sidebar:
-        st.header("📤 Upload Brain Scan")
+        st.header("Upload Brain Scan")
         uploaded_file = st.file_uploader(
             "Choose a brain scan image...",
             type=['png', 'jpg', 'jpeg', 'bmp', 'tiff'],
@@ -245,7 +245,7 @@ def main():
         show_probabilities = st.checkbox("Show All Probabilities", value=True)
         
         st.markdown("---")
-        st.header("ℹ️ About")
+        st.header("About")
         st.info("""
         **Model Architecture:** Deep Learning CNN
         
@@ -265,11 +265,11 @@ def main():
         col1, col2 = st.columns([1, 1])
         
         with col1:
-            st.subheader("📷 Original Image")
+            st.subheader("Original Image")
             st.image(image, caption="Uploaded Brain Scan", use_column_width=True)
         
         with col2:
-            st.subheader("🎯 Classification Results")
+            st.subheader("Classification Results")
             
             if st.session_state.model is not None:
                 # Predict
@@ -301,7 +301,7 @@ def main():
                     # Simple heatmap visualization
                     if show_heatmap:
                         st.markdown("---")
-                        st.subheader("🔥 Attention Visualization")
+                        st.subheader("Attention Visualization")
                         
                         heatmap = create_simple_heatmap(image, predictions)
                         if heatmap is not None and MPL_AVAILABLE: