Update app.py for final submission

Add lines to hide API keys and check for required environment variables.

app.py

@@ -3,6 +3,7 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+import agents
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -12,14 +13,19 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 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
-
-def run_and_submit_all( profile: gr.OAuthProfile | None):
+        self.gaia = agents.create_general_ai_agent(verbosity=0)
+        print('BasicAgent initialized.')
+    def __call__(self, task_id: str, question: str) -> str:
+        print(f"Agent received questoin (first 50 chars): {question[:50]}...")
+        task = self.gaia.invoke({
+            'task_id': task_id,
+            'question': question,
+        })
+        final_answer = task.get('final_answer')
+        print(f'Agent returning fixed answer: {final_answer}')
+        return task['final_answer']
+    
+def run_and_submit_all(profile: gr.OAuthProfile | None):
     """
     Fetches all questions, runs the BasicAgent on them, submits all answers,
     and displays the results.
@@ -33,7 +39,19 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     else:
         print("User not logged in.")
         return "Please Login to Hugging Face with the button.", None
-
+    
+    # --- Allow only space owner to run agent to avoid misuse ---
+    if not space_id.startswith(username.strip()):
+        print("User is not an owner of the space. Please duplicate space and configure OPENAI_API_KEY, HF_TOKEN, GOOGLE_SEARCH_API_KEY, and GOOGLE_SEARCH_ENGINE_ID environment variables.")
+        return "Please duplicate space to your account to run the agent.", None
+    
+    # --- Check for required environment variables ---
+    required_env_vars = ["OPENAI_API_KEY", "HF_TOKEN", "GOOGLE_SEARCH_API_KEY", "GOOGLE_SEARCH_ENGINE_ID"]
+    missing_env_vars = [var for var in required_env_vars if not os.getenv(var)]
+    if missing_env_vars:
+        print(f"Missing environment variables: {', '.join(missing_env_vars)}")
+        return f"Missing environment variables: {', '.join(missing_env_vars)}", None
+    
     api_url = DEFAULT_API_URL
     questions_url = f"{api_url}/questions"
     submit_url = f"{api_url}/submit"
@@ -68,7 +86,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     except Exception as e:
         print(f"An unexpected error occurred fetching questions: {e}")
         return f"An unexpected error occurred fetching questions: {e}", None
-
+    
     # 3. Run your Agent
     results_log = []
     answers_payload = []
@@ -80,7 +98,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
             print(f"Skipping item with missing task_id or question: {item}")
             continue
         try:
-            submitted_answer = agent(question_text)
+            submitted_answer = agent(task_id=task_id, question=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:
@@ -139,14 +157,14 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
 
-
+    
 # --- 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.