Update agent logic and add test interface

app.py

@@ -189,56 +189,36 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
 # --- 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.LoginButton()
-
-    run_button = gr.Button("Run Evaluation & Submit All Answers")
-
-    status_output = gr.Textbox(label="Run Status / Submission Result", lines=5, interactive=False)
-    # Removed max_rows=10 from DataFrame constructor
-    results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
-
-    run_button.click(
-        fn=run_and_submit_all,
-        outputs=[status_output, results_table]
-    )
+    gr.Markdown("# 🤖 GAIA Final Assignment: Agent Runner")
+
+    with gr.Tab("🔍 Test Your Agent"):
+        gr.Markdown("Use this to test how your agent responds to custom questions before running full evaluation.")
+        test_input = gr.Textbox(label="Enter a Question", placeholder="e.g., How many studio albums...")
+        test_output = gr.Textbox(label="Agent's Answer", interactive=False)
+        test_button = gr.Button("Test Agent")
+        test_button.click(fn=test_agent_response, inputs=test_input, outputs=test_output)
+
+    with gr.Tab("📤 Run Evaluation & Submit"):
+        gr.Markdown(
+            """
+            **Instructions:**
+
+            1. Modify your agent logic.
+            2. Log in to Hugging Face below.
+            3. Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, and see your score.
+
+            ---
+            """
+        )
+        gr.LoginButton()
+        run_button = gr.Button("Run Evaluation & Submit All Answers")
+        status_output = gr.Textbox(label="Submission Result", lines=5, interactive=False)
+        results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
+
+        run_button.click(
+            fn=run_and_submit_all,
+            outputs=[status_output, results_table]
+        )
 
 if __name__ == "__main__":
-    print("\n" + "-"*30 + " App Starting " + "-"*30)
-    # Check for SPACE_HOST and SPACE_ID at startup for information
-    space_host_startup = os.getenv("SPACE_HOST")
-    space_id_startup = os.getenv("SPACE_ID") # Get SPACE_ID at startup
-
-    if space_host_startup:
-        print(f"✅ SPACE_HOST found: {space_host_startup}")
-        print(f"   Runtime URL should be: https://{space_host_startup}.hf.space")
-    else:
-        print("ℹ️  SPACE_HOST environment variable not found (running locally?).")
-
-    if space_id_startup: # Print repo URLs if SPACE_ID is found
-        print(f"✅ SPACE_ID found: {space_id_startup}")
-        print(f"   Repo URL: https://huggingface.co/spaces/{space_id_startup}")
-        print(f"   Repo Tree URL: https://huggingface.co/spaces/{space_id_startup}/tree/main")
-    else:
-        print("ℹ️  SPACE_ID environment variable not found (running locally?). Repo URL cannot be determined.")
-
-    print("-"*(60 + len(" App Starting ")) + "\n")
-
-    print("Launching Gradio Interface for Basic Agent Evaluation...")
-    demo.launch(debug=True, share=False)
-    test_interface.launch(debug=True, share=False)
+    demo.launch(debug=True)