Update app.py

app.py

@@ -82,44 +82,30 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
         print(f"An unexpected error occurred fetching questions: {e}")
         return f"An unexpected error occurred fetching questions: {e}", None
 
-    # 3. Run your Agent
+     # 3. Run your Agent
     results_log = []
     answers_payload = []
     print(f"Running agent on {len(questions_data)} questions...")
-    for idx, item in enumerate(questions_data, 1):
+    for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
         if not task_id or question_text is None:
             print(f"Skipping item with missing task_id or question: {item}")
             continue
-        
-        print(f"Processing question {idx}/{len(questions_data)} - Task ID: {task_id}")
         try:
             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[:100] + "..." if len(question_text) > 100 else question_text,
-                "Submitted Answer": submitted_answer[:200] + "..." if len(submitted_answer) > 200 else 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[:100] + "..." if len(question_text) > 100 else 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.")
         return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
 
     # 4. Prepare Submission 
-    submission_data = {
-        "username": username.strip(),
-        "agent_code": agent_code,
-        "answers": answers_payload
-    }
+    submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
     status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
     print(status_update)
 
@@ -180,8 +166,9 @@ with gr.Blocks() as demo:
         **Agent Tools:**
         - Mathematical operations (add, subtract, multiply, divide, modulus)
         - Wikipedia search
-        - Web search (Tavily)
+        - Web search (DDGS)
         - Arxiv academic paper search
+        - Web Scraping Tool using BeautifulSoup
         
         **Note:** Processing all questions may take several minutes depending on the number of questions and API response times.
         """
@@ -206,8 +193,7 @@ if __name__ == "__main__":
     space_host_startup = os.getenv("SPACE_HOST")
     space_id_startup = os.getenv("SPACE_ID")
     google_api_key = os.getenv("GOOGLE_API_KEY")
-    tavily_api_key = os.getenv("TAVILY_API_KEY")
-
+    
     if space_host_startup:
         print(f"✅ SPACE_HOST found: {space_host_startup}")
         print(f"   Runtime URL should be: https://{space_host_startup}.hf.space")