removed emojis

app.py

@@ -46,7 +46,7 @@ warnings.filterwarnings("ignore")
 # Set page config
 st.set_page_config(
     page_title="Style Transfer Studio",
-    page_icon="🎨",
+    # page_icon="🎨",
     layout="wide",
     initial_sidebar_state="expanded"
 )
@@ -1754,17 +1754,17 @@ style_choices = sorted([info['name'] for info in system.cyclegan_models.values()
 # ===========================
 
 # Main app
-st.title("🎨 Style Transfer Studio")
+st.title("Style Transfer")
 st.markdown("Professional image and video style transfer with CycleGAN and custom training capabilities")
 
 # Sidebar for global settings
 with st.sidebar:
-    st.header("⚙️ Settings")
+    st.header("Settings")
     
     # GPU status
     if torch.cuda.is_available():
         gpu_info = torch.cuda.get_device_properties(0)
-        st.success(f"🚀 GPU: {gpu_info.name}")
+        st.success(f"GPU: {gpu_info.name}")
         
         # Show memory usage
         total_memory = gpu_info.total_memory / 1e9
@@ -1784,15 +1784,15 @@ with st.sidebar:
         
         # Check if GPU is actually being used
         if used_memory < 0.1:
-            st.warning("⚠️ GPU detected but not in use. Models may be running on CPU.")
+            st.warning("GPU detected but not in use. Models may be running on CPU.")
             
         # Force GPU button
-        if st.button("🔄 Force GPU Reset"):
+        if st.button("Force GPU Reset"):
             torch.cuda.empty_cache()
             torch.cuda.synchronize()
             st.rerun()
     else:
-        st.warning("💻 Running on CPU (GPU not available)")
+        st.warning("Running on CPU (GPU not available)")
         st.caption("For faster processing, use a GPU-enabled environment")
     
     st.markdown("---")
@@ -1808,9 +1808,9 @@ with st.sidebar:
     # Unsplash API status
     st.markdown("---")
     if unsplash.access_key:
-        st.success("🔗 Unsplash API Connected")
+        st.success("Unsplash API Connected")
     else:
-        st.info("💡 Add Unsplash API key for image search")
+        st.info("Add Unsplash API key for image search")
     
     # Debug mode
     st.markdown("---")
@@ -1825,18 +1825,18 @@ Models Loaded: {len(system.loaded_generators)}
 
 # Main tabs
 tab1, tab2, tab3, tab4, tab5, tab6 = st.tabs([
-    "🎨 Style Transfer", 
-    "🖌️ Regional Transform", 
-    "🎬 Video Processing", 
-    "🔧 Train Custom Style", 
-    "📦 Batch Processing",
-    "📖 Documentation"
+    "Style Transfer", 
+    "Regional Transform", 
+    "Video Processing", 
+    "Train Custom Style", 
+    "Batch Processing",
+    "Documentation"
 ])
 
 # TAB 1: Style Transfer (with Unsplash integration)
 with tab1:
     # Unsplash Search Section
-    with st.expander("🔍 Search Unsplash for Images", expanded=False):
+    with st.expander("Search Unsplash for Images", expanded=False):
         if not unsplash.access_key:
             st.info("""
             To enable Unsplash search:
@@ -1850,10 +1850,10 @@ with tab1:
             with search_col2:
                 orientation = st.selectbox("Orientation", ["all", "landscape", "portrait", "squarish"])
             with search_col3:
-                search_button = st.button("🔍 Search", use_container_width=True)
+                search_button = st.button("Search", use_container_width=True)
             
             # Random photos button
-            if st.button("🎲 Get Random Photos"):
+            if st.button("Get Random Photos"):
                 with st.spinner("Loading random photos..."):
                     results, error = unsplash.get_random_photos(count=12)
                     
@@ -2005,7 +2005,7 @@ with tab1:
 
 # TAB 2: Regional Transform
 with tab2:
-    st.header("🖌️ Regional Style Transform")
+    st.header("Regional Style Transform")
     st.markdown("Paint different regions to apply different styles locally")
     
     # Initialize session state
@@ -2078,7 +2078,7 @@ with tab2:
                     st.rerun()
             
             with col_btn2:
-                if st.button("🗑️ Clear All", use_container_width=True):
+                if st.button("Clear All", use_container_width=True):
                     st.session_state.regions = []
                     st.session_state.canvas_results = {}
                     if 'regional_result' in st.session_state:
@@ -2088,7 +2088,7 @@ with tab2:
                     st.rerun()
             
             with col_btn3:
-                if st.button("🔄 Reset Result", use_container_width=True):
+                if st.button("Reset Result", use_container_width=True):
                     if 'regional_result' in st.session_state:
                         del st.session_state['regional_result']
                     st.session_state.canvas_ready = True
@@ -2146,11 +2146,11 @@ with tab2:
             # Show workflow status
             if 'regional_result' in st.session_state:
                 if st.session_state.canvas_ready:
-                    st.success("✏️ **Edit Mode** - Paint your regions and click 'Apply Regional Styles' when ready")
+                    st.success("**Edit Mode** - Paint your regions and click 'Apply Regional Styles' when ready")
                 else:
-                    st.info("👁️ **Preview Mode** - Click 'Continue Editing' to modify regions")
+                    st.info("**Preview Mode** - Click 'Continue Editing' to modify regions")
             else:
-                st.info("✏️ Paint on the canvas below to define regions for each style")
+                st.info("Paint on the canvas below to define regions for each style")
             
             # Check if we're in edit mode
             if not st.session_state.canvas_ready:
@@ -2165,7 +2165,7 @@ with tab2:
             display_width, display_height = display_image.size
             
             # Info message
-            st.info(f"💡 Image resized to {display_width}x{display_height} for display. Original resolution will be used for processing.")
+            st.info(f"Image resized to {display_width}x{display_height} for display. Original resolution will be used for processing.")
             
             # Get current region
             current_region_idx = st.selectbox(
@@ -2297,11 +2297,11 @@ with tab2:
 # TAB 3: Video Processing
 # TAB 3: Video Processing
 with tab3:
-    st.header("🎬 Video Processing")
+    st.header("Video Processing")
     
     if not VIDEO_PROCESSING_AVAILABLE:
         st.warning("""
-        ⚠️ Video processing requires OpenCV to be installed.
+        Video processing requires OpenCV to be installed.
         
         To enable video processing, add `opencv-python` to your requirements.txt
         """)
@@ -2370,7 +2370,7 @@ with tab3:
                                     st.session_state['video_result_available'] = True
                                     st.session_state['video_is_mp4'] = (file_ext == '.mp4')
                                     
-                                    st.success(f"✅ Video processing complete! Format: {file_ext.upper()}")
+                                    st.success(f"Video processing complete! Format: {file_ext.upper()}")
                                     
                                     # Clean up files
                                     try:
@@ -2409,7 +2409,7 @@ with tab3:
                     if st.session_state.get('video_is_mp4', False):
                         # For MP4, should work in browser
                         st.video(video_bytes)
-                        st.success(f"✅ Video ready! Size: {file_size_mb:.2f} MB")
+                        st.success(f"Video ready! Size: {file_size_mb:.2f} MB")
                     else:
                         # For non-MP4, show info and download
                         st.info(f"Video format ({file_ext}) may not play in browser. Please download to view.")
@@ -2444,7 +2444,7 @@ with tab3:
                     
                     with col_dl1:
                         st.download_button(
-                            label=f"📥 Download Video ({file_ext.upper()})",
+                            label=f"Download Video ({file_ext.upper()})",
                             data=video_bytes,
                             file_name=f"styled_video_{datetime.datetime.now().strftime('%Y%m%d_%H%M%S')}{file_ext}",
                             mime=mime_type,
@@ -2452,7 +2452,7 @@ with tab3:
                         )
                     
                     with col_dl2:
-                        if st.button("🗑️ Clear Result", use_container_width=True):
+                        if st.button("Clear Result", use_container_width=True):
                             del st.session_state['video_result_bytes']
                             st.session_state['video_result_available'] = False
                             if 'video_result_ext' in st.session_state:
@@ -2463,7 +2463,7 @@ with tab3:
                     
                     # Info about playback
                     if not st.session_state.get('video_is_mp4', False):
-                        st.caption("💡 For best compatibility, download and use VLC or another video player.")
+                        st.caption("For best compatibility, download and use VLC or another video player.")
                     
                 except Exception as e:
                     st.error(f"Error displaying video: {str(e)}")
@@ -2487,7 +2487,7 @@ with tab3:
 
 # TAB 4: Training with AdaIN
 with tab4:
-    st.header("🔧 Train Custom Style with AdaIN")
+    st.header("Train Custom Style with AdaIN")
     st.markdown("Train your own style transfer model using Adaptive Instance Normalization")
     
     # Initialize session state for content images
@@ -2497,7 +2497,7 @@ with tab4:
     col1, col2, col3 = st.columns([1, 1, 1])
     
     with col1:
-        st.subheader("📸 Style Images")
+        st.subheader("Style Images")
         style_imgs = st.file_uploader("Upload 1-5 style images", type=['png', 'jpg', 'jpeg'], 
                                      accept_multiple_files=True, key="train_style_adain")
         
@@ -2513,7 +2513,7 @@ with tab4:
                 st.caption(f"... and {len(style_imgs) - 3} more")
     
     with col2:
-        st.subheader("🖼️ Content Images")
+        st.subheader("Content Images")
         content_imgs = st.file_uploader("Upload content images (5-50 recommended)", 
                                        type=['png', 'jpg', 'jpeg'], 
                                        accept_multiple_files=True, 
@@ -2553,7 +2553,7 @@ with tab4:
         if st.button("🚀 Start AdaIN Training", type="primary", use_container_width=True):
             if style_imgs and content_imgs:
                 if len(content_imgs) < 5:
-                    st.warning("⚠️ For best results, use at least 5 content images")
+                    st.warning("For best results, use at least 5 content images")
                 
                 with st.spinner("Training AdaIN model..."):
                     progress_bar = st.progress(0)
@@ -2594,7 +2594,7 @@ with tab4:
                         st.session_state['trained_adain_model'] = model
                         st.session_state['trained_style_images'] = style_images
                         st.session_state['model_path'] = f'/tmp/trained_models/{model_name}_final.pth'
-                        st.success("✅ AdaIN training complete!")
+                        st.success("AdaIN training complete!")
                     
                     progress_bar.empty()
                     status_text.empty()
@@ -2604,7 +2604,7 @@ with tab4:
     # Testing section
     if 'trained_adain_model' in st.session_state:
         st.markdown("---")
-        st.header("🎨 Test Your AdaIN Model")
+        st.header("Test Your AdaIN Model")
         
         test_col1, test_col2, test_col3 = st.columns([1, 1, 1])
         
@@ -2684,7 +2684,7 @@ with tab4:
             with col_dl1:
                 with open(st.session_state['model_path'], 'rb') as f:
                     st.download_button(
-                        label="💾 Download Trained AdaIN Model",
+                        label="Download Trained AdaIN Model",
                         data=f.read(),
                         file_name=f"{model_name}_adain_final.pth",
                         mime="application/octet-stream",
@@ -2695,7 +2695,7 @@ with tab4:
 
 # TAB 5: Batch Processing
 with tab5:
-    st.header("📦 Batch Processing")
+    st.header("Batch Processing")
     
     col1, col2 = st.columns(2)
     
@@ -2825,13 +2825,13 @@ with tab6:
     
     ### Features
     
-    #### 🎨 Style Transfer
+    #### Style Transfer
     - Apply multiple styles simultaneously
     - Adjustable intensity for each style
     - Multiple blending modes for creative effects
     - **NEW**: Search and use images from Unsplash
     
-    #### 🖌️ Regional Transform
+    #### Regional Transform
     - Paint specific regions to apply different styles
     - Support for multiple regions with different styles
     - Adjustable brush size and drawing tools
@@ -2839,7 +2839,7 @@ with tab6:
     - Persistent brush strokes across regions
     - Optimized display for large images
     
-    #### 🎬 Video Processing
+    #### Video Processing
     - Frame-by-frame style transfer
     - Maintains temporal consistency
     - Supports all style combinations and blend modes