PDF_Agent / debate_simulator.py
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from langchain.chains.combine_documents import create_stuff_documents_chain
from langchain.chains import LLMChain
from langchain_core.prompts import ChatPromptTemplate
from summarizer import get_summary_prompt
def get_debate_prompt():
"""Get the prompt template for debate simulation"""
return ChatPromptTemplate.from_template("""
Act as two researchers discussing a paper.
Supporter: Defends the core idea of the document.
Critic: Challenges its assumptions, methods, or impact.
Use the following summary as reference:
{summary}
Generate a short conversation between them.
""")
def simulate_debate(llm, documents):
"""
Simulate a debate about the document
Args:
llm: Language model instance
documents: List of document chunks
Returns:
str: Debate conversation
"""
# First get summary
summary_prompt = get_summary_prompt()
chain = create_stuff_documents_chain(llm, summary_prompt)
summary = chain.invoke({"context": documents})
# Then simulate debate
debate_prompt = get_debate_prompt()
debate_chain = LLMChain(llm=llm, prompt=debate_prompt)
return debate_chain.invoke({"summary": summary})