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Create app.py

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  1. app.py +76 -0
app.py ADDED
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+ import os
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+ import gradio as gr
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+ import requests
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+ import pandas as pd
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+ from agent import answer_question
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+
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+ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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+
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+ def run_and_submit_all(profile: gr.OAuthProfile | None):
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+ if not profile:
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+ return "Please Login to Hugging Face with the button.", None
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+
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+ username = profile.username
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+ space_id = os.getenv("SPACE_ID", "YOUR_SPACE_ID")
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+ agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
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+
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+ api_url = DEFAULT_API_URL
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+ questions_url = f"{api_url}/questions"
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+ submit_url = f"{api_url}/submit"
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+
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+ # Fetch questions
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+ try:
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+ response = requests.get(questions_url, timeout=15)
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+ response.raise_for_status()
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+ questions_data = response.json()
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+ if not questions_data:
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+ return "Fetched questions list is empty or invalid format.", None
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+ except Exception as e:
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+ return f"Error fetching questions: {e}", None
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+
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+ # Run agent on questions
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+ results_log = []
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+ answers_payload = []
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+ for item in questions_data:
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+ task_id = item.get("task_id")
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+ question_text = item.get("question")
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+ if not task_id or not question_text:
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+ continue
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+ try:
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+ submitted_answer = answer_question(question_text)
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+ # Remove "FINAL ANSWER: " if not required by API (check course instructions)
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+ answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
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+ results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
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+ except Exception as e:
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+ results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
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+
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+ if not answers_payload:
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+ return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
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+
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+ # Submit answers
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+ submission_data = {"username": username, "agent_code": agent_code, "answers": answers_payload}
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+ try:
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+ response = requests.post(submit_url, json=submission_data, timeout=60)
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+ response.raise_for_status()
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+ result_data = response.json()
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+ final_status = (
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+ f"Submission Successful!\n"
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+ f"User: {result_data.get('username')}\n"
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+ f"Overall Score: {result_data.get('score', 'N/A')}% "
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+ f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
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+ f"Message: {result_data.get('message', 'No message received.')}"
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+ )
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+ return final_status, pd.DataFrame(results_log)
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+ except Exception as e:
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+ return f"Submission Failed: {e}", pd.DataFrame(results_log)
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+
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+ with gr.Blocks() as demo:
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+ gr.Markdown("# smolagents GAIA Benchmark Submission")
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+ gr.LoginButton()
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+ run_button = gr.Button("Run Evaluation & Submit All Answers")
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+ status_output = gr.Textbox(label="Run Status / Submission Result", lines=5)
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+ results_table = gr.DataFrame(label="Questions and Agent Answers", wrap=True)
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+ run_button.click(fn=run_and_submit_all, outputs=[status_output, results_table])
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+
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+ if __name__ == "__main__":
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+ demo.launch(debug=True, share=False)