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from langchain.agents import load_tools
from langchain.llms import OpenAI
from langchain.tools.render import render_text_description
from langchain.agents.output_parsers import ReActSingleInputOutputParser
from langchain.agents.format_scratchpad import format_log_to_str
from langchain import hub
from langchain.agents import AgentExecutor
from config import OPENAI_API_KEY, SERPAPI_API_KEY
import os

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import chess
import chess.engine
from langchain.agents import load_tools
from langchain.agents import initialize_agent
from langchain.agents import AgentType
from langchain.llms import OpenAI
from config import OPENAI_API_KEY, SERPAPI_API_KEY
import os

os.environ['OPENAI_API_KEY'] = OPENAI_API_KEY

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import wikipedia
import torch
from transformers import BertTokenizer, BertModel
from elasticsearch import Elasticsearch
from config import USER, ELASTIC_PASSWORD
import warnings


warnings.simplefilter(action='ignore', category=Warning)

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import wikipedia
import torch
from transformers import BertTokenizer, BertModel
from elasticsearch import Elasticsearch
from config import USER, ELASTIC_PASSWORD
import warnings
import numpy as np


warnings.simplefilter(action='ignore', category=Warning)

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# 1. Grouping and organizing imports

from typing import Any
import os
import time
import warnings

from config import OPENAI_API_KEY, USER, ELASTIC_PASSWORD
from pdf2image import convert_from_path
import pytesseract

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import autogen
from autogen.retrieve_utils import TEXT_FORMATS
from autogen.agentchat.contrib.retrieve_assistant_agent import RetrieveAssistantAgent
from autogen.agentchat.contrib.retrieve_user_proxy_agent import RetrieveUserProxyAgent
import chromadb


# Define the configuration list for different models
config_list = [
    {

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# Generate secrets
rails secret:generate
rails secret:generate

# Edit credentials
rails encrypted:edit

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active_record_encryption:
  primary_key: [generated_primary_key]
  deterministic_key: [generated_deterministic_key]
  key_deriving_salt: some_salt

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class Document < ApplicationRecord
  encrypts :content
end

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input_features:
    - name: genres
      type: set
      preprocessing:
          tokenizer: comma
    - name: content_rating
      type: category
    - name: top_critic
      type: binary
    - name: runtime