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# LLMRequestsChain

Using the request library to get HTML results from a URL and then an LLM to parse results

    from langchain.llms import OpenAI
    from langchain.chains import LLMRequestsChain, LLMChain

    from langchain.prompts import PromptTemplate

    template = """Between >>> and <<< are the raw search result text from google.
    Extract the answer to the question '{query}' or say "not found" if the information is not contained.
    Use the format
    Extracted:<answer or "not found">
    >>> {requests_result} <<<
    Extracted:"""

    PROMPT = PromptTemplate(
        input_variables=["query", "requests_result"],
        template=template,
    )

    chain = LLMRequestsChain(llm_chain = LLMChain(llm=OpenAI(temperature=0), prompt=PROMPT))

    question = "What are the Three (3) biggest countries, and their respective sizes?"
    inputs = {
        "query": question,
        "url": "https://www.google.com/search?q=" + question.replace(" ", "+")
    }

    chain(inputs)

    {'query': 'What are the Three (3) biggest countries, and their respective sizes?',
     'url': 'https://www.google.com/search?q=What+are+the+Three+(3)+biggest+countries,+and+their+respective+sizes?',
     'output': ' Russia (17,098,242 km²), Canada (9,984,670 km²), United States (9,826,675 km²)'}