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