import os import gradio as gr import requests import inspect import pandas as pd from smoleagents_agent import OptimizedSmolagentsGAIAgent as SmolagentsGAIAgent # --- Constants --- DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space" def run_and_submit_all(profile: gr.OAuthProfile | None): """ Fetches all questions, runs the Enhanced DirectToolAgent on them, submits all answers, and displays the results. """ # --- Determine HF Space Runtime URL and Repo URL --- space_id = os.getenv("SPACE_ID") if profile: username = f"{profile.username}" print(f"User logged in: {username}") else: print("User not logged in.") return "Please Login to Hugging Face with the button.", None api_url = DEFAULT_API_URL questions_url = f"{api_url}/questions" submit_url = f"{api_url}/submit" # 1. Instantiate Enhanced Direct Tool Agent try: agent = SmolagentsGAIAgent() print("Enhanced Direct Tool Agent initialized successfully!") except Exception as e: print(f"Error instantiating enhanced direct tool agent: {e}") return f"Error initializing enhanced direct tool agent: {e}", None agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main" print(f"Agent code link: {agent_code}") # 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 # 3. Run Enhanced DirectToolAgent results_log = [] answers_payload = [] print(f"Running enhanced direct tool agent on {len(questions_data)} questions...") for i, item in enumerate(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 try: print(f"\n--- Processing Question {i+1}/{len(questions_data)} ---") print(f"Task ID: {task_id}") print(f"Question: {question_text[:100]}...") # Run the enhanced smolagents agent submitted_answer = agent.process_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 }) print(f"Answer: {submitted_answer[:100]}...") except Exception as e: print(f"Error running agent on task {task_id}: {e}") error_answer = f"AGENT ERROR: {str(e)[:100]}" answers_payload.append({"task_id": task_id, "submitted_answer": error_answer}) results_log.append({ "Task ID": task_id, "Question": question_text, "Submitted Answer": error_answer }) if not answers_payload: print("Enhanced DirectToolAgent did not produce any answers to submit.") return "Enhanced DirectToolAgent 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 } status_update = f"Enhanced DirectToolAgent finished. Submitting {len(answers_payload)} answers for user '{username}'..." print(status_update) # 5. Submit print(f"Submitting {len(answers_payload)} answers to: {submit_url}") try: response = requests.post(submit_url, json=submission_data, timeout=60) response.raise_for_status() result_data = response.json() final_status = ( f"Submission Successful!\n" f"User: {result_data.get('username')}\n" f"Overall Score: {result_data.get('score', 'N/A')}% " 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!") results_df = pd.DataFrame(results_log) return final_status, results_df except requests.exceptions.HTTPError as e: error_detail = f"Server responded with status {e.response.status_code}." try: error_json = e.response.json() error_detail += f" Detail: {error_json.get('detail', e.response.text)}" except requests.exceptions.JSONDecodeError: error_detail += f" Response: {e.response.text[:500]}" status_message = f"Submission Failed: {error_detail}" print(status_message) results_df = pd.DataFrame(results_log) return status_message, results_df except requests.exceptions.Timeout: status_message = "Submission Failed: The request timed out." print(status_message) results_df = pd.DataFrame(results_log) return status_message, results_df except requests.exceptions.RequestException as e: status_message = f"Submission Failed: Network error - {e}" print(status_message) results_df = pd.DataFrame(results_log) return status_message, results_df except Exception as e: status_message = f"An unexpected error occurred during submission: {e}" print(status_message) results_df = pd.DataFrame(results_log) return status_message, results_df # --- Build Gradio Interface using Blocks --- with gr.Blocks(title="Enhanced Smolagents GAIA Agent") as demo: gr.Markdown("# Enhanced Smolagents GAIA Agent Evaluation") gr.Markdown( """ ## Instructions: 1. **Login** to Hugging Face using the button below 2. **Click** 'Run Enhanced Evaluation & Submit All Answers' 3. **Wait** for your enhanced smolagents agent to process all questions 4. **View** your score and detailed results ## How the Enhanced Agent Works: - **Smart Capability Detection**: Automatically detects available tools - **Fallback Strategy**: Uses basic responses when advanced features unavailable - **Enhanced Responses**: Leverages Wikipedia, web search, and data tools when possible - **Zero-Error Operation**: Guaranteed to complete all questions regardless of available features **Note**: This enhanced version maximizes capabilities while maintaining complete reliability. """ ) gr.LoginButton() run_button = gr.Button("Run Enhanced Smolagents GAIA Evaluation & Submit All Answers", variant="primary") status_output = gr.Textbox( label="📊 Run Status / Submission Result", lines=10, interactive=False ) results_table = gr.DataFrame( label="📋 Questions and Agent Answers", wrap=True ) run_button.click( fn=run_and_submit_all, outputs=[status_output, results_table] ) if __name__ == "__app__": print("\n" + "="*60 + " Enhanced Smolagents GAIA Agent Starting " + "="*60) # Check environment variables space_host_startup = os.getenv("SPACE_HOST") space_id_startup = os.getenv("SPACE_ID") if space_host_startup: print(f"[OK] SPACE_HOST found: {space_host_startup}") print(f" Runtime URL: https://{space_host_startup}.hf.space") else: print("[INFO] SPACE_HOST not found (running locally)") if space_id_startup: print(f"[OK] SPACE_ID found: {space_id_startup}") print(f" Repo URL: https://huggingface.co/spaces/{space_id_startup}") print(f" Code URL: https://huggingface.co/spaces/{space_id_startup}/tree/main") else: print("[INFO] SPACE_ID not found (running locally)") print("="*(120 + len(" Enhanced Smolagents GAIA Agent Starting ")) + "\n") print("Launching Enhanced Smolagents GAIA Agent Evaluation Interface...") demo.launch(debug=True, share=False)