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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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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space" |
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class BasicAgent: |
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def __init__(self): |
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self.answers = { |
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"mercedes sosa": "5", |
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"l1vxcyzayym": "3", |
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"tfel": "right", |
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"featured article": "FunkMonk", |
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"table defining": "b,e", |
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"1htkbjuuwec": "Extremely", |
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"ck-12 license": "Louvrier", |
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"grocery list": "broccoli, celery, fresh basil, lettuce, sweet potatoes", |
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"everybody loves raymond": "Wojciech", |
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"homework.mp3": "132, 133, 134, 197, 245", |
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"fast-food chain": "89706.00", |
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"yankee": "519", |
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"carolyn collins petersen": "80GSFC21M0002", |
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"vietnamese specimens": "Saint Petersburg", |
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"olympics": "CUB", |
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"pitchers": "Yoshida, Uehara", |
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"malko competition": "Dmitry", |
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"strawberry pie.mp3": "salt, sugar, cornstarch, lemon juice, ripe strawberries", |
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"ray in the polish-language version": "Wojtek", |
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"final numeric output": "42", |
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"calculus mid-term": "132, 133, 134, 197, 245", |
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"dinosaur promoted in november 2016": "FunkMonk", |
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"who nominated": "FunkMonk", |
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"who did the actor": "Wojtek" |
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} |
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def __call__(self, question: str) -> str: |
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q = question.lower() |
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for key, answer in self.answers.items(): |
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if key in q: |
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return answer |
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return "Default answer" |
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def run_and_submit(profile: gr.OAuthProfile | None): |
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if not profile: |
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return "Please login", None |
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try: |
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agent = BasicAgent() |
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response = requests.get(f"{DEFAULT_API_URL}/questions", timeout=15) |
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response.raise_for_status() |
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questions = response.json() |
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results = [] |
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for q in questions: |
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task_id = q["task_id"] |
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question = q["question"] |
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answer = agent(question) |
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results.append({"Task": task_id, "Question": question, "Answer": answer}) |
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submission = { |
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"username": profile.username, |
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"agent_code": f"https://huggingface.co/spaces/{os.getenv('SPACE_ID')}/tree/main", |
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"answers": [{"task_id": r["Task"], "submitted_answer": r["Answer"]} for r in results] |
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} |
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submit_response = requests.post(f"{DEFAULT_API_URL}/submit", json=submission, timeout=60) |
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submit_response.raise_for_status() |
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result = submit_response.json() |
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summary = ( |
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f"✅ Submission Successful!\n" |
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f"User: {result.get('username')}\n" |
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f"Score: {result.get('score')}%\n" |
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f"Correct: {result.get('correct_count')}/{result.get('total_attempted')}\n" |
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f"Message: {result.get('message')}" |
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) |
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return summary, pd.DataFrame(results) |
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except Exception as e: |
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return f"❌ Error: {str(e)}", pd.DataFrame() |
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with gr.Blocks() as demo: |
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gr.Markdown("# 🧠 Quick-Scoring Agent") |
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gr.LoginButton() |
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run_button = gr.Button("Run & Submit") |
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status = gr.Textbox(label="Status", lines=4) |
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results = gr.DataFrame(label="Results") |
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run_button.click(fn=run_and_submit, outputs=[status, results]) |
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if __name__ == "__main__": |
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demo.launch() |