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with query as (
  select
    openai_embedding(:question, :_cookie_openai_api_key) as q
),
top_n as (
  select
    value
  from json_each(
    faiss_search(
      'simonwillisonblog',

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The discussion below addresses our material risk factors of which we are aware. Any risk factor, either by itself or together with other risk factors, could materially and adversely affect our businesses, results of operations, cash flows and/or financial condition. References to third parties may include suppliers, service providers, counterparties, financial market utilities, exchanges and clearing houses, data aggregators and other partners and their upstream and downstream service providers (e.g., fourth parties, fifth parties) who may also contribute to our risks. Other factors not currently known to us or that we currently deem immaterial could also adversely affect our businesses, results of operations, cash flows and/or financial condition. Therefore, the risk factors below should not be considered all of the potential risks that we may face. For more information on how we manage risks, see Managing Risk in the MD&A beginning on page 44. For more information about the risks contained in this section, 

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import json
import logging
import typer
from pathlib import Path
from typing import List
from prodigy import set_hashes

logging.basicConfig(format='%(message)s', level=logging.INFO)

def process_file(file_path: Path, all_hashes: dict) -> dict:

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# vs code create folder

# check python versions
python -v # make sure 3.9-3.12
pip -v

# create venv
python -m virtualenv venv 
source venv/bin/activate

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import os
import json
import typer

app = typer.Typer()

def process_scripts(input_prompts_file: str, scripts_folder: str, output_file: str):
    output_data = []

    # Read input prompts from the .jsonl file