Update app.py

app.py

@@ -14,10 +14,22 @@ class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
     def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        print(f"BasicAgent received: {question[:50]}...")
+        return "This is a default answer."
+
+class EchoAgent:
+    def __init__(self):
+        print("EchoAgent initialized.")
+    def __call__(self, question: str) -> str:
+        print(f"EchoAgent received: {question[:50]}...")
+        return f"You said: {question}"
+
+class LengthAgent:
+    def __init__(self):
+        print("LengthAgent initialized.")
+    def __call__(self, question: str) -> str:
+        print(f"LengthAgent received: {question[:50]}...")
+        return f"Length of input: {len(question)}"
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -39,8 +51,15 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     submit_url = f"{api_url}/submit"
 
     # 1. Instantiate Agent ( modify this part to create your agent)
-    try:
-        agent = BasicAgent()
+   try:
+        if agent_name == "BasicAgent":
+            agent = BasicAgent()
+        elif agent_name == "EchoAgent":
+            agent = EchoAgent()
+        elif agent_name == "LengthAgent":
+            agent = LengthAgent()
+        else:
+            raise ValueError(f"Unknown agent selected: {agent_name}")
     except Exception as e:
         print(f"Error instantiating agent: {e}")
         return f"Error initializing agent: {e}", None
@@ -142,32 +161,23 @@ 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.Markdown("# Multi-Agent Evaluation Runner")
 
     gr.LoginButton()
 
-    run_button = gr.Button("Run Evaluation & Submit All Answers")
+    agent_dropdown = gr.Dropdown(
+        choices=["BasicAgent", "EchoAgent", "LengthAgent"],
+        label="Select Agent to Run",
+        value="BasicAgent"
+    )
 
+    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,
+        inputs=[gr.OAuthProfile(), agent_dropdown],
         outputs=[status_output, results_table]
     )