Update agent.py
Browse files
agent.py
CHANGED
@@ -5,6 +5,7 @@ import base64
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import io
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import pandas as pd
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from openai import OpenAI
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class GaiaAgent:
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def __init__(self):
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@@ -17,22 +18,20 @@ class GaiaAgent:
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text = re.sub(r"Answer:\s*", "", text, flags=re.IGNORECASE)
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text = text.strip().strip("\"'").strip()
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#
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if "algebraic notation" in question.lower():
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match = re.search(r"\b([KQBNR]?[a-h]?[1-8]?x?[a-h][1-8][+#]?)\b", text)
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return match.group(1) if match else text
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if "
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match = re.search(r"\b(\d+)\b", text)
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return match.group(1) if match else text
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if "comma separated list" in question.lower():
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items = re.findall(r"[a-zA-Z]+", text.lower())
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return ", ".join(sorted(set(items)))
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if "ingredients" in question.lower():
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items = re.findall(r"[a-zA-Z]+(?: [a-zA-Z]+)?", text.lower())
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return ", ".join(sorted(set(items)))
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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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@@ -40,7 +39,7 @@ class GaiaAgent:
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if "IOC country code" in question:
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match = re.search(r"\b[A-Z]{3}\b", text.upper())
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return match.group(0) if match else text
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if "page numbers" in question:
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nums = sorted(set(map(int, re.findall(r"\b\d+\b", text))))
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@@ -57,6 +56,10 @@ class GaiaAgent:
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if "first name" in question.lower():
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return text.split()[0]
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return text
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def fetch_file(self, task_id):
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@@ -71,7 +74,7 @@ class GaiaAgent:
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res = self.client.chat.completions.create(
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model=model,
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messages=[
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{"role": "system", "content": "You are a precise assistant. Only return the final answer. Do not explain."},
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{"role": "user", "content": prompt + "\nFinal Answer:"}
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],
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temperature=0.0
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@@ -81,7 +84,7 @@ class GaiaAgent:
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def ask_image(self, image_bytes: bytes, question: str) -> str:
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b64 = base64.b64encode(image_bytes).decode()
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messages = [
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{"role": "system", "content": "You are a visual assistant. Return only the final answer."},
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{
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"role": "user",
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"content": [
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@@ -111,14 +114,8 @@ class GaiaAgent:
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transcript = self.client.audio.transcriptions.create(model="whisper-1", file=open(path, "rb"))
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return self.ask(f"Transcript: {transcript.text}\n\nQuestion: {question}")
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def extract_youtube_hint(self, question: str) -> str:
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match = re.search(r"https://www\.youtube\.com/watch\?v=([\w-]+)", question)
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if match:
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return f"Assume the YouTube video (ID: {match.group(1)}) shows the information needed to answer."
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return ""
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def __call__(self, question: str, task_id: str = None) -> str:
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context =
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if task_id:
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file, ctype = self.fetch_file(task_id)
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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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class GaiaAgent:
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def __init__(self):
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text = re.sub(r"Answer:\s*", "", text, flags=re.IGNORECASE)
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text = text.strip().strip("\"'").strip()
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# Convert written numbers (e.g., "five") to digits for album questions
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if "studio albums" in question.lower():
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try:
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return str(w2n.word_to_num(text.lower()))
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except:
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pass
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if "algebraic notation" in question.lower():
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match = re.search(r"\b([KQBNR]?[a-h]?[1-8]?x?[a-h][1-8][+#]?)\b", text)
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return match.group(1) if match else text
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if "comma separated list" in question.lower() or "ingredients" in question.lower():
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items = re.findall(r"[a-zA-Z]+(?: [a-zA-Z]+)?", text.lower())
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return ", ".join(sorted(set(i.strip() for i in items)))
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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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if "IOC country code" in question:
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match = re.search(r"\b[A-Z]{3}\b", text.upper())
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return match.group(0) if match else text.upper()
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if "page numbers" in question:
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nums = sorted(set(map(int, re.findall(r"\b\d+\b", text))))
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if "first name" in question.lower():
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return text.split()[0]
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if "NASA award number" in question:
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match = re.search(r"(80NSSC[0-9A-Z]{6})", text)
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return match.group(1) if match else text
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return text
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def fetch_file(self, task_id):
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res = self.client.chat.completions.create(
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model=model,
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messages=[
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{"role": "system", "content": "You are a precise assistant. Only return the final answer. Do not explain. Do not guess. Do not answer if not sure."},
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{"role": "user", "content": prompt + "\nFinal Answer:"}
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],
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temperature=0.0
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def ask_image(self, image_bytes: bytes, question: str) -> str:
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b64 = base64.b64encode(image_bytes).decode()
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messages = [
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{"role": "system", "content": "You are a visual assistant. Return only the final answer. Do not guess."},
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{
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"role": "user",
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"content": [
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transcript = self.client.audio.transcriptions.create(model="whisper-1", file=open(path, "rb"))
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return self.ask(f"Transcript: {transcript.text}\n\nQuestion: {question}")
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def __call__(self, question: str, task_id: str = None) -> str:
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context = ""
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if task_id:
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file, ctype = self.fetch_file(task_id)
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