Remove search query and domain filter fields; trigger web searches from chat.

app.py

@@ -187,20 +187,14 @@ def generate_package(plan, sources):
 with gr.Blocks() as demo:
     gr.Markdown(
         """# Course Creator Agent
-Chat with the assistant to brainstorm your course idea. Use web search to collect resources. When you're ready, click **Finalize Outline** to generate a course plan. Then generate the final course package (ZIP)."""
+Chat with the assistant to brainstorm your course idea. You can ask the assistant to search the internet directly in the chat. When you're ready, click **Finalize Outline** to generate a course plan. Then generate the final course package (ZIP)."""
     )
     # Chat interface components
     # Use 'messages' type for Chatbot. The Chatbot expects a list of message dictionaries
     # (e.g. {"role": "user", "content": "..."}) when type="messages".
     chatbot = gr.Chatbot(label="Conversation", type="messages")
     msg_input = gr.Textbox(label="Your message", placeholder="Type your message and press Enter", lines=1)
-    # Search controls
-    search_query = gr.Textbox(label="Search query", placeholder="Enter search keywords")
-    domain_filter = gr.Textbox(
-        label="Domain filter (comma-separated)", placeholder=".edu,.gov,acm.org", value=""
-    )
-    search_results = gr.Textbox(label="Search results", interactive=False)
-    # Buttons and outputs
+    # Buttons and outputs (search is triggered via chat; no separate search controls)
     finalize_btn = gr.Button("Finalize Outline")
     plan_output = gr.Textbox(label="Course outline", interactive=False)
     generate_btn = gr.Button("Generate Course Package")
@@ -217,14 +211,6 @@ Chat with the assistant to brainstorm your course idea. Use web search to collec
         # First output goes to the Chatbot; we return the updated chat history (list of messages)
         outputs=[chatbot, state_chat_history, state_chat_pairs, state_sources, state_plan],
     )
-    # Handle search submission: update search results and sources; maintain other states unchanged
-    search_query.submit(
-        lambda q, domain, chat_hist, chat_pairs, srcs, pl: run_search(
-            q, chat_hist, chat_pairs, srcs, pl, num_results=5, domain_filter=domain
-        ),
-        inputs=[search_query, domain_filter, state_chat_history, state_chat_pairs, state_sources, state_plan],
-        outputs=[search_results, state_chat_history, state_chat_pairs, state_sources, state_plan],
-    )
     # Finalize outline button: generate course plan and store it
     finalize_btn.click(
         finalize_outline,