Update app.py

app.py

@@ -1,24 +1,26 @@
-import gradio as gr
-from indexer import index_text, answer_query
-
-# Gradio interface function to handle the RAG system
-def rag_system(query,history):
-    # Index the input text
-    vectorstore = index_text()
-    
-    # Answer the query based on the indexed text
-    answer = answer_query(query, vectorstore)
-    
-    return answer
-
-
-iface = gr.ChatInterface(
-    rag_system,
-    type="messages",
-    title="AI Alignment ChatBot",
-    description="Let's understand AI Alignment",
-)
-
-
-# Launch the app
+import gradio as gr
+from indexer import index_text, answer_query
+
+# Gradio interface function to handle the RAG system
+def rag_system(query,history):
+    # Index the input text
+    vectorstore = index_text()
+    
+    # Answer the query based on the indexed text
+    answer = answer_query(query, vectorstore)
+    
+    return answer
+
+
+iface = gr.ChatInterface(
+    rag_system,
+    type="messages",
+    title="AI Alignment ChatBot",
+    description="Let's understand AI Alignment",
+    theme="ocean"
+    examples=["What is Instrumental Efficiency?"]
+)
+
+
+# Launch the app
 iface.launch()