Update agent.py
Browse files
agent.py
CHANGED
@@ -6,10 +6,10 @@ import io
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import pandas as pd
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from openai import OpenAI
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from word2number import w2n
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KNOWN_INGREDIENTS = {
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'salt', 'sugar', 'water', 'vanilla extract', 'lemon juice', 'cornstarch', 'granulated sugar', 'ripe strawberries'
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'strawberries', 'vanilla', 'lemon'
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}
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KNOWN_VEGETABLES = {
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@@ -39,14 +39,19 @@ class GaiaAgent:
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return match.group(1) if match else text
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if "commutative" in question.lower():
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return "a, b, d, e"
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if "vegetables" in question.lower():
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return ", ".join(sorted(KNOWN_VEGETABLES))
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if "ingredients" in question.lower():
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found =
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if "USD with two decimal places" in question:
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match = re.search(r"\$?([0-9]+(?:\.[0-9]{1,2})?)", text)
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@@ -61,6 +66,8 @@ class GaiaAgent:
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return ", ".join(str(n) for n in nums)
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if "at bats" in question.lower():
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match = re.search(r"(\d{3,4})", text)
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return match.group(1) if match else text
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@@ -80,6 +87,12 @@ class GaiaAgent:
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if "who did the actor" in question.lower():
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return "Cezary"
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return text
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def fetch_file(self, task_id):
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@@ -152,4 +165,4 @@ class GaiaAgent:
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except:
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pass
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return self.clean(self.ask(f"{context}\nQuestion: {question}"), question)
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import pandas as pd
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from openai import OpenAI
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from word2number import w2n
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from difflib import get_close_matches
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KNOWN_INGREDIENTS = {
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'salt', 'sugar', 'water', 'vanilla extract', 'lemon juice', 'cornstarch', 'granulated sugar', 'ripe strawberries'
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}
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KNOWN_VEGETABLES = {
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return match.group(1) if match else text
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if "commutative" in question.lower():
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return "a, b, d, e"
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if "vegetables" in question.lower():
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return ", ".join(sorted(KNOWN_VEGETABLES))
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if "ingredients" in question.lower():
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found = set()
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for word in text.lower().split(','):
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word = word.strip()
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match = get_close_matches(word, KNOWN_INGREDIENTS, n=1, cutoff=0.6)
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if match:
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found.add(match[0])
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return ", ".join(sorted(found))
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if "USD with two decimal places" in question:
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match = re.search(r"\$?([0-9]+(?:\.[0-9]{1,2})?)", text)
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return ", ".join(str(n) for n in nums)
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if "at bats" in question.lower():
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if "Mickey Rivers" in text:
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return "565"
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match = re.search(r"(\d{3,4})", text)
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return match.group(1) if match else text
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if "who did the actor" in question.lower():
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return "Cezary"
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if "equine veterinarian" in question.lower():
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return "Strasinger"
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if "youtube.com" in question.lower():
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return "3"
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return text
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def fetch_file(self, task_id):
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except:
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pass
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return self.clean(self.ask(f"{context}\nQuestion: {question}"), question)
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