Update app.py

app.py

@@ -59,9 +59,7 @@ def download_conversation_wrapper(inputs=None):
                 else []
             ),
             "document_snippets": (
-                st.session_state.index
-                if "index" in st.session_state
-                else []
+                st.session_state.index if "index" in st.session_state else []
             ),
             "conversation": [
                 {"human": message[0], "ai": message[1], "references": message[2]}
@@ -122,7 +120,26 @@ def query_llm_wrapper(inputs):
 
 
 def boot(command_center):
-    st.title("Agent Xi - An ArXiv Chatbot")
+    st.write(
+        """
+        # Agent Xi
+Hi I'm Agent Xi 📚 your AI assistant 🤖, dedicated to making your journey through machine learning research papers as insightful and interactive as possible. Whether you're diving into the latest studies or brushing up on foundational papers, I'm here to help navigate, discuss, and analyze content with you.
+
+Here's a quick guide to getting started with me:
+
+| Command | Description |
+|---------|-------------|
+| `/upload` | Upload and process documents for our conversation. |
+| `/index` | View an index of processed documents to easily navigate your research. |
+| `/cost` | Calculate the cost of our conversation, ensuring transparency in resource usage. |
+| `/download` | Download conversation data for your records or further analysis. |
+
+<br>
+
+Feel free to use these commands to enhance your research experience. Let's embark on this exciting journey of discovery together!
+    """,
+        unsafe_allow_html=True,
+    )
     if "costing" not in st.session_state:
         st.session_state.costing = []
     if "messages" not in st.session_state:
@@ -144,28 +161,14 @@ def boot(command_center):
 
 if __name__ == "__main__":
     all_commands = [
-        ("/upload", list, process_documents_wrapper, "Upload and process documents"),
-        ("/index", None, index_documents_wrapper, "View index of processed documents"),
-        ("/cost", None, calculate_cost_wrapper, "Calculate cost of conversation"),
-        (
-            "/download",
-            None,
-            download_conversation_wrapper,
-            "Download conversation data",
-        ),
+        ("/upload", list, process_documents_wrapper),
+        ("/index", None, index_documents_wrapper),
+        ("/cost", None, calculate_cost_wrapper),
+        ("/download", None, download_conversation_wrapper),
     ]
-    st.sidebar.title("Commands Menu")
-    st.sidebar.write(
-        pd.DataFrame(
-            {
-                "Command": [command[0] for command in all_commands],
-                "Description": [command[3] for command in all_commands],
-            }
-        )
-    )
     command_center = CommandCenter(
         default_input_type=str,
         default_function=query_llm_wrapper,
-        all_commands=[command[:3] for command in all_commands],
+        all_commands=all_commands,
     )
     boot(command_center)