init tools

app.py

@@ -145,23 +145,25 @@ def test_init_agent_for_chat(text_input, history):
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
     gr.Markdown("# Basic Agent Evaluation Runner")
-    gr.Markdown(
-        """
-        **Instructions:**
-
-        1.  Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
-        2.  Log in to your Hugging Face account using the button below. This uses your HF username for submission.
-        3.  Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
-
-        ---
-        **Disclaimers:**
-        Once clicking on the "submit button, it can take quite some time ( this is the time for the agent to go through all the questions).
-        This space provides a basic setup and is intentionally sub-optimal to encourage you to develop your own, more robust solution. For instance for the delay process of the submit button, a solution could be to cache the answers and submit in a seperate action or even to answer the questions in async.
-        """
-    )
+    # gr.Markdown(
+    #     """
+    #     **Instructions:**
+
+    #     1.  Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
+    #     2.  Log in to your Hugging Face account using the button below. This uses your HF username for submission.
+    #     3.  Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
+
+    #     ---
+    #     **Disclaimers:**
+    #     Once clicking on the "submit button, it can take quite some time ( this is the time for the agent to go through all the questions).
+    #     This space provides a basic setup and is intentionally sub-optimal to encourage you to develop your own, more robust solution. For instance for the delay process of the submit button, a solution could be to cache the answers and submit in a seperate action or even to answer the questions in async.
+    #     """
+    # )
 
     gr.LoginButton()
 
+    gr.ChatInterface(test_init_agent_for_chat, type="messages")
+
     # run_button = gr.Button("Run Evaluation & Submit All Answers")
 
     # status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
@@ -173,8 +175,6 @@ with gr.Blocks() as demo:
     #     outputs=[status_output, results_table]
     # )
 
-    gr.ChatInterface(test_init_agent_for_chat, type="messages")
-
 
 if __name__ == "__main__":
     print("\n" + "-"*30 + " App Starting " + "-"*30)