Update app.py

app.py

@@ -103,7 +103,7 @@ except Exception as e:
     df = pd.DataFrame({'content': ['test'], 'emoji': ['👍']})
 
 # Mappings
-sent_map = {'❤️':'Pos', '👍':'Pos', '😂':'Pos', '💯':'Pos', '😢':'Neg', '😭':'Neg', '😮':'Neu'}
+sent_map = {'❤️':'Positive', '👍':'Positive', '😂':'Positive', '💯':'Positive', '😢':'Negative', '😭':'Negative', '😮':'Neutral'}
 intent_map = {'❤️':'Emotion', '👍':'Agreement', '😂':'Emotion', '😮':'Surprise'}
 
 # Vectorization
@@ -194,7 +194,7 @@ def get_predictions(text):
 # --- 4. UI STYLING & INTERFACE ---
 
 def get_avatar_url(seed):
-    return f"https://api.dicebear.com/7.x/bottts/svg?seed={seed}&backgroundColor=transparent"
+    return f"https://api.dicebear.com/7.x/bottts/svg?seed={seed}&backgroundColor=transparent&size=128"
 
 CSS = """
 .chat-window { font-family: 'Segoe UI', sans-serif; }
@@ -324,9 +324,9 @@ def chat_logic(message, history):
 
 # --- 5. LAUNCH APP ---
 
-with gr.Blocks(css=CSS, title="Social Benchmarks AI") as demo:
-    gr.Markdown("### 🤖 Multi-Model Social Benchmarks")
-    gr.Markdown("Type a message to see how 6 different AI architectures interpret it.")
+with gr.Blocks(css=CSS, title="SentiChat") as demo:
+    gr.Markdown("### 🤖 Message Analysis")
+    gr.Markdown("Type a message to see how different AI/ML architectures interpret it.")
     
     chatbot = gr.Chatbot(
         elem_id="chat-window",