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Upload idea_generator.py
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idea_generator.py
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from langchain.chains.combine_documents import create_stuff_documents_chain
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from langchain.chains import LLMChain
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from langchain_core.prompts import ChatPromptTemplate
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from summarizer import get_summary_prompt
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from gap_analyzer import get_gap_prompt
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def get_idea_prompt():
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"""Get the prompt template for research idea generation"""
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return ChatPromptTemplate.from_template("""
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Given the research gaps:
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{gaps}
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Suggest 2-3 original research project ideas or questions that address these gaps. Explain why they are valuable.
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""")
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def suggest_research_ideas(llm, documents):
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"""
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Suggest research ideas based on identified gaps
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Args:
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llm: Language model instance
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documents: List of document chunks
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Returns:
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str: Research ideas suggestions
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"""
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# First get summary
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summary_prompt = get_summary_prompt()
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chain1 = create_stuff_documents_chain(llm, summary_prompt)
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summary = chain1.invoke({"context": documents})
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# Then identify gaps
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gap_prompt = get_gap_prompt()
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chain2 = LLMChain(llm=llm, prompt=gap_prompt)
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gaps = chain2.invoke({"summary": summary})
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# Finally suggest ideas
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idea_prompt = get_idea_prompt()
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chain3 = LLMChain(llm=llm, prompt=idea_prompt)
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return chain3.invoke({"gaps": gaps})
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