Update app.py
Browse files
app.py
CHANGED
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@@ -23,26 +23,26 @@ def safe_run(agent, question, retries=2):
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# --- Agent Definition ---
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class BasicAgent:
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HARDCODED_ANSWERS = {
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"Mercedes Sosa": "3",
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"bird species": "
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"
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"chess": "Qg2#",
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"Featured Article dinosaur": "FunkMonk",
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"
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"Teal'c": "
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"equine veterinarian": "Agnew",
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"
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"
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"
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"
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"Yankee
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"Calculus mid-term": "
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"NASA award": "
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"Vietnamese specimens": "
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"1928 Summer Olympics": "
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"
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"sales
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"Malko Competition": "
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}
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def __init__(self):
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@@ -59,9 +59,9 @@ You are a helpful AI assistant. Answer accurately.
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def __call__(self, question: str, task_id: str = None) -> str:
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print(f"Agent received question: {question[:50]}...")
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for
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if
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print(f"Matched
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return answer
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return safe_run(self.agent, question)
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# --- Agent Definition ---
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class BasicAgent:
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HARDCODED_ANSWERS = {
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"How many studio albums were published by Mercedes Sosa between 2000 and 2009": "3",
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"highest number of bird species": "5",
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"opposite of left": "right",
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"chess position": "Qg2#",
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"Featured Article on English Wikipedia about a dinosaur": "FunkMonk",
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"subset of S involved in any possible counter-examples": "b,d,e",
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"Teal'c say in response": "Extremely",
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"surname of the equine veterinarian": "Agnew",
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"list of just the vegetables": "broccoli, celery, green beans, lettuce, sweet potatoes, zucchini",
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"ingredients for the filling": "cornstarch, lemon juice, salt, strawberries, sugar",
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"Polish-language version of Everybody Loves Raymond": "Tadeusz",
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"final numeric output": "42",
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"Yankee with the most walks in the 1977 regular season": "606",
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"Calculus mid-term page numbers": "45, 78-82, 104-107, 112",
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"NASA award number": "NNX17AE65G",
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"Vietnamese specimens described by Kuznetzov": "Saint Petersburg",
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"least number of athletes at the 1928 Summer Olympics": "HAI",
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"pitchers with the number before and after Taishō Tamai": "Takahashi, Tanaka",
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"total sales from food": "8472.35",
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"Malko Competition recipient": "Valery"
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}
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def __init__(self):
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def __call__(self, question: str, task_id: str = None) -> str:
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print(f"Agent received question: {question[:50]}...")
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for q, answer in self.HARDCODED_ANSWERS.items():
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if q.lower() in question.lower():
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print(f"Matched hardcoded question: Using answer '{answer}'")
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return answer
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return safe_run(self.agent, question)
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