Added simulation of question list.

app.py

@@ -101,35 +101,39 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
 
     # 2. Fetch Questions
     print(f"Fetching questions from: {questions_url}")
-    try:
-        response = requests.get(questions_url, timeout=15)
-        response.raise_for_status()
-        questions_data = response.json()
-        if not questions_data:
-            print("Fetched questions list is empty.")
-            return "Fetched questions list is empty or invalid format.", None
-        print(f"Fetched {len(questions_data)} questions.")
-    except requests.exceptions.RequestException as e:
-        print(f"Error fetching questions: {e}")
-        return f"Error fetching questions: {e}", None
-    except requests.exceptions.JSONDecodeError as e:
-        print(f"Error decoding JSON response from questions endpoint: {e}")
-        print(f"Response text: {response.text[:500]}")
-        return f"Error decoding server response for questions: {e}", None
-    except Exception as e:
-        print(f"An unexpected error occurred fetching questions: {e}")
-        return f"An unexpected error occurred fetching questions: {e}", None
+    # try:
+    #     response = requests.get(questions_url, timeout=15)
+    #     response.raise_for_status()
+    #     questions_data = response.json()
+    #     if not questions_data:
+    #         print("Fetched questions list is empty.")
+    #         return "Fetched questions list is empty or invalid format.", None
+    #     print(f"Fetched {len(questions_data)} questions.")
+    # except requests.exceptions.RequestException as e:
+    #     print(f"Error fetching questions: {e}")
+    #     return f"Error fetching questions: {e}", None
+    # except requests.exceptions.JSONDecodeError as e:
+    #     print(f"Error decoding JSON response from questions endpoint: {e}")
+    #     print(f"Response text: {response.text[:500]}")
+    #     return f"Error decoding server response for questions: {e}", None
+    # except Exception as e:
+    #     print(f"An unexpected error occurred fetching questions: {e}")
+    #     return f"An unexpected error occurred fetching questions: {e}", None
+    questions_data = []    # Simulated questions data for testing
+    questions_data.append({"task_id": "8e867cd7-cff9-4e6c-867a-ff5ddc2550be", "question": "How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia."})
+    questions_data.append({"task_id": "2d83110e-a098-4ebb-9987-066c06fa42d0", "question": ".rewsna eht sa "tfel" drow eht fo etisoppo eht etirw ,ecnetnes siht dnatsrednu uoy fI"})
+    questions_data.append({"task_id": "4fc2f1ae-8625-45b5-ab34-ad4433bc21f8", "question": "Who nominated the only Featured Article on English Wikipedia about a dinosaur that was promoted in November 2016?"})
 
     # 3. Run your Agent
     results_log = []
     answers_payload = []
     print(f"Running agent on {len(questions_data)} questions...")
-    count = 0
-    question_array = [1, 3, 5, 6, 7]  # Example question array for testing
+    #count = 0
+    #question_array = [1, 3, 5, 6, 7]  # Example question array for testing
     for item in questions_data:
-        count += 1
-        if count not in question_array:
-            continue
+        #count += 1
+        #if count not in question_array:
+        #    continue
         task_id = item.get("task_id")
         question_text = item.get("question")
         if not task_id or question_text is None:
@@ -198,7 +202,7 @@ 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 #21")
+    gr.Markdown("# Basic Agent Evaluation Runner #22")
     gr.Markdown(
         """
         **Instructions:**