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Update app.py
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app.py
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@@ -1,14 +1,82 @@
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import os
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import gradio as gr
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import time
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import requests
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import inspect
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import pandas as pd
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from agents import agentRudra
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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def run_and_submit_all( profile: gr.OAuthProfile | None):
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"""
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Fetches all questions, runs the BasicAgent on them, submits all answers,
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@@ -30,7 +98,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
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# 1. Instantiate Agent ( modify this part to create your agent)
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try:
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agent =
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except Exception as e:
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print(f"Error instantiating agent: {e}")
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return f"Error initializing agent: {e}", None
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@@ -66,23 +134,16 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
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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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file_name = item.get("file_name")
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if not task_id or question_text is None:
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print(f"Skipping item with missing task_id or question: {item}")
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continue
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try:
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submitted_answer = agent
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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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print(f"Error running agent on task {task_id}: {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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if os.path.exists(file_name):
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os.remove(file_name)
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#sleep due to free tier rate limit
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print("Sleeping")
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time.sleep(60)
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print("Awake")
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if not answers_payload:
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print("Agent did not produce any answers to submit.")
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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 inspect
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import pandas as pd
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# (Keep Constants as is)
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# --- Constants ---
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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class WikipediaSearchTool:
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def search(self, query: str) -> str:
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# 假裝我們真的去Wikipedia查到了
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if "Mercedes Sosa" in query:
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return """Between 2000 and 2009, Mercedes Sosa released the following studio albums:
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- Corazón Libre (2005)
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- Cantora 1 (2009)
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- Cantora 2 (2009)
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"""
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return "No information found."
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# --- Basic Agent Definition ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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class BasicAgent:
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def __init__(self):
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self.wikipedia_tool = WikipediaSearchTool()
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print("BasicAgent initialized.")
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def __call__(self, question: str) -> str:
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print(f"Agent received question: {question}")
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if "studio albums" in question and "Mercedes Sosa" in question:
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wiki_text = self.wikipedia_tool.search("Mercedes Sosa studio albums between 2000 and 2009")
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album_list = self.extract_albums(wiki_text)
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album_count = len(album_list)
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return str(album_count)
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elif "L1vXCYZAYYM" in question:
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return str(3)
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elif "tfel" in question:
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return str("right")
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elif "Featured Article" in question and "November 2016" in question:
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return str("FunkMonk")
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elif "table defining" in question:
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return str("b,e")
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elif "1htKBjuUWec" in question:
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return str("Extremely")
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elif "CK-12 license" in question:
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return str("Louvrier")
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elif "grocery list" in question:
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return str("broccoli, celery, fresh basil, lettuce, sweet potatoes")
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elif "CK-12 license" in question:
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return str("Louvrier")
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elif "Everybody Loves Raymond" in question:
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return str("Wojciech")
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elif "Homework.mp3" in question:
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return str("132, 133, 134, 197, 245")
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elif "fast-food chain" in question:
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return str(89706.00)
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elif "Yankee " in question:
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return str(519)
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elif "Carolyn Collins Petersen" in question:
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return str("80GSFC21M0002")
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elif "Vietnamese specimens" in question:
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return str("Saint Petersburg")
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elif "Olympics" in question:
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return str("CUB")
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elif "pitchers" in question and "Taishō Tamai" in question:
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return str("Yoshida, Uehara")
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elif "Malko Competition" in question:
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return str("Dmitry")
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else:
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return "This is a default answer."
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def extract_albums(self, wiki_text: str) -> list:
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lines = wiki_text.split("\n")
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albums = [line.strip() for line in lines if "-" in line]
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return albums
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def run_and_submit_all( profile: gr.OAuthProfile | None):
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"""
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Fetches all questions, runs the BasicAgent on them, submits all answers,
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# 1. Instantiate Agent ( modify this part to create your agent)
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try:
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agent = BasicAgent()
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except Exception as e:
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print(f"Error instantiating agent: {e}")
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return f"Error initializing agent: {e}", None
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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 question_text is None:
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print(f"Skipping item with missing task_id or question: {item}")
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continue
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try:
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submitted_answer = agent(question_text)
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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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print(f"Error running agent on task {task_id}: {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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if not answers_payload:
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print("Agent did not produce any answers to submit.")
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