Update app.py

app.py

@@ -119,7 +119,7 @@ def run_and_submit_all(profile: gr.OAuthProfile | None, openai_key: str, google_
     space_id = os.getenv("SPACE_ID") # Get the SPACE_ID for sending link to the code
 
     if profile:
-        username= f"{profile.username}"
+        username = f"{profile.username}"
         print(f"User logged in: {username}")
     else:
         print("User not logged in.")
@@ -131,11 +131,11 @@ def run_and_submit_all(profile: gr.OAuthProfile | None, openai_key: str, google_
 
     # 1. Instantiate Agent ( modify this part to create your agent)
     try:
-        agent_instance = build_supervisor_agent(openai_key, google_key)
-        agent = Agent(agent_instance)
+        agent = Agent(build_supervisor_agent(openai_key, google_key))
     except Exception as e:
         print(f"Error instantiating agent: {e}")
         return f"Error initializing agent: {e}", None
+    # In the case of an app running as a hugging Face space, this link points toward your codebase ( useful for others so please keep it public)
     agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
     print(agent_code)
 
@@ -167,17 +167,16 @@ def run_and_submit_all(profile: gr.OAuthProfile | None, openai_key: str, google_
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
-        file_name = item.get("file_name", "")
         if not task_id or question_text is None:
             print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
-            submitted_answer = agent(question_text, file_name, task_id)
+            submitted_answer = agent(question_text)
             answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
         except Exception as e:
-            print(f"Error running agent on task {task_id}: {e}")
-            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
+             print(f"Error running agent on task {task_id}: {e}")
+             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
 
     if not answers_payload:
         print("Agent did not produce any answers to submit.")
@@ -238,16 +237,14 @@ with gr.Blocks() as demo:
     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.  Enter your OpenAI and Google API keys below (these are required for the agent to work).
+        3.  Enter your OpenAI and Google API keys below (if required by your agent).
         4.  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.
+        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 separate action or even to answer the questions in async.
         """
     )
 
@@ -255,33 +252,15 @@ with gr.Blocks() as demo:
 
     openai_key_box = gr.Textbox(label="OpenAI API Key", type="password", placeholder="sk-...", lines=1)
     google_key_box = gr.Textbox(label="Google API Key", type="password", placeholder="AIza...", lines=1)
-    set_keys_btn = gr.Button("Set API Keys")
-    status_api_keys = gr.Textbox(label="API Key Status", lines=1, interactive=False)
-
-    def set_api_keys(openai_key, google_key):
-        if openai_key:
-            os.environ["OPENAI_API_KEY"] = openai_key
-        if google_key:
-            os.environ["GOOGLE_API_KEY"] = google_key
-        if openai_key or google_key:
-            return "API keys set for this session."
-        return "No API keys provided."
-
-    set_keys_btn.click(
-        fn=set_api_keys,
-        inputs=[openai_key_box, google_key_box],
-        outputs=status_api_keys
-    )
 
     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(), openai_key_box, google_key_box],
+        inputs=[openai_key_box, google_key_box],
         outputs=[status_output, results_table]
     )