Upload app.py

app.py

@@ -465,7 +465,13 @@ def chatbot_interface(user_query: str, history: list[dict]) -> tuple[list[dict],
     return updated_history, updated_history
 
 # Create the Gradio interface with history components
-with gr.Blocks() as iface:
+with gr.Blocks(theme=gr.themes.Soft()) as iface:
+    gr.HTML("""
+    <div style='display:flex; align-items:center; gap:15px;'>
+        <img src='https://images.squarespace-cdn.com/content/v1/62835c73f824d0627cfba7a7/093df9f4-89e4-48f9-8359-2096efe5b65a/Logo_bp_experts_2019.png' style='height:60px;'>
+        <h2 style='margin:0;'>Business Flows Assistant</h2>
+    </div>
+    """)
     # Use gr.Chatbot with type='messages' to handle history in OpenAI message format
     chatbot = gr.Chatbot(label="Process Assistant Chatbot", type='messages')
     msg = gr.Textbox(label="Ask a question about business processes.")