list of answers

app.py

@@ -26,6 +26,24 @@ s2 = "  FINAL ANSWER:   Jane Doe"
 print(strip_final_answer(s2))  # Output: Jane Doe
 
 
+def print_answers_dataframe(answers_payload):
+    # Create a list of question numbers from 1 to length of answers_payload
+    question_numbers = list(range(1, len(answers_payload) + 1))
+    
+    # Extract task_id and submitted_answer from the list of dictionaries
+    task_ids = [item["task_id"] for item in answers_payload]
+    submitted_answers = [item["submitted_answer"] for item in answers_payload]
+    
+    # Create the DataFrame
+    df = pd.DataFrame({
+        "question_number": question_numbers,
+        "task_id": task_ids,
+        "submitted_answer": submitted_answers
+    })
+    
+    # Print the DataFrame
+    print(df)
+
 # (Keep Constants as is)
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
@@ -158,7 +176,9 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
             f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
             f"Message: {result_data.get('message', 'No message received.')}"
         )
-        print("Submission successful.")
+        print("Submission successful.\n\n")
+        print("Full answer list\n")
+        print_answers_dataframe(answers_payload=answers_payload)
         results_df = pd.DataFrame(results_log)
         return final_status, results_df
     except requests.exceptions.HTTPError as e:
@@ -187,6 +207,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         print(status_message)
         results_df = pd.DataFrame(results_log)
         return status_message, results_df
+    
 
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:

requirements.txt

@@ -23,4 +23,5 @@ beautifulsoup4
 duckduckgo-search==8.0.0
 sentencepiece
 nltk
-SpeechRecognition
+SpeechRecognition
+pandas