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Browse files
app.py
CHANGED
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@@ -9,6 +9,7 @@ from typing import TypedDict
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from langchain_openai import ChatOpenAI
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from langchain_core.messages import HumanMessage
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# (Keep Constants as is)
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# --- Constants ---
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@@ -46,6 +47,8 @@ class AgentState(TypedDict):
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# -------------------------------
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# Tools & LLM
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# -------------------------------
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# LLM (OpenAI โ ์ด๋ฏธ ๋ค ํ๊ฒฝ์์ ๋์ ํ์ธ๋จ)
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llm = ChatOpenAI(
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@@ -59,24 +62,38 @@ llm = ChatOpenAI(
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# -------------------------------
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class BasicAgent:
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def __init__(self):
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print("GAIA
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def __call__(self, question: str) -> str:
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print(f"Question: {question[:80]}...")
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-
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- No explanation.
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- No formatting.
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- No extra text.
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- If the answer is a number, output ONLY the number.
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- If the answer is Yes/No, output ONLY Yes or No.
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Question:
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{question}
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""".strip()
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response = llm.invoke([HumanMessage(content=prompt)])
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@@ -84,7 +101,7 @@ Question:
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print(f"Answer: {answer}")
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return answer
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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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from langchain_openai import ChatOpenAI
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from langchain_core.messages import HumanMessage
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from langchain_community.tools import DuckDuckGoSearchRun
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# (Keep Constants as is)
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# --- Constants ---
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# -------------------------------
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# Tools & LLM
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# -------------------------------
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# Search tool (๋ฌด๋ฃ)
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search_tool = DuckDuckGoSearchRun()
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# LLM (OpenAI โ ์ด๋ฏธ ๋ค ํ๊ฒฝ์์ ๋์ ํ์ธ๋จ)
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llm = ChatOpenAI(
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# -------------------------------
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class BasicAgent:
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def __init__(self):
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print("Search-based GAIA Agent initialized.")
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def __call__(self, question: str) -> str:
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print(f"Question: {question[:80]}...")
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queries = [
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question,
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f"{question} wikipedia",
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f"{question} site:wikipedia.org",
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f"{question} fact",
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]
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snippets = []
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for q in queries:
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try:
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r = search_tool.run(q)
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if r:
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snippets.append(r)
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time.sleep(0.5) # rate-limit ํํผ
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except Exception as e:
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print("Search error:", e)
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search_result = "\n\n".join(snippets)
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prompt = f"""
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{SYSTEM_PROMPT}
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Question:
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{question}
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Search Results:
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{search_result}
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""".strip()
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response = llm.invoke([HumanMessage(content=prompt)])
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print(f"Answer: {answer}")
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return answer
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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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