ranfysvalle02

from typing import List
from actionweaver import RequireNext, action, SelectOne
from actionweaver.llms.azure.chat import ChatCompletion
from actionweaver.llms.openai.tools.chat import OpenAIChatCompletion
from actionweaver.llms.openai.functions.tokens import TokenUsageTracker
from langchain.embeddings import GPT4AllEmbeddings
from langchain.text_splitter import RecursiveCharacterTextSplitter
import json
import os
import pymongo

ranfysvalle02

# Import the necessary libraries
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from bs4 import BeautifulSoup

# Set up the headless browser
options = Options()
options.headless = True
options.add_argument("--headless") 
options.add_argument('--disable-gpu')

ranfysvalle02

import pymongo
from langchain.embeddings import AzureOpenAIEmbeddings

MONGODB_URI = ""
client = pymongo.MongoClient(MONGODB_URI)
db = client["sample_mflix"]
collection = db["embedded_movies"]

azureEmbeddings = AzureOpenAIEmbeddings(
            deployment="",

ranfysvalle02

import os
from enum import Enum
from typing import List, Optional, Tuple
from actionweaver import RequireNext, SelectOne, action
from actionweaver.llms.azure.chat import ChatCompletion
from actionweaver.llms.openai.tokens import TokenUsageTracker
from langchain.vectorstores import MongoDBAtlasVectorSearch
from langchain.embeddings import GPT4AllEmbeddings
from langchain.document_loaders import PlaywrightURLLoader
from llama_index import Document, ServiceContext

ranfysvalle02

import tiktoken    
import openai      
from bs4 import BeautifulSoup  
import requests  
  
class OpenAISummarize(object):    
    def __init__(self, api_key:str="", model:str="gpt-3.5-turbo",max_words:int=200,max_sections:int=2,deployment_id:str="", api_version:str="", api_base:str="" ) -> None:    
        self.api_key = api_key    
        self.deployment_id = deployment_id  
        self.api_version = api_version  

ranfysvalle02

import tiktoken    
import openai      
from bs4 import BeautifulSoup  
import requests  
  
class OpenAISummarize(object):    
    def __init__(self, api_key:str="", model:str="gpt-3.5-turbo",max_words:int=200,max_sections:int=2,deployment_id:str="", api_version:str="", api_base:str="" ) -> None:    
        self.api_key = api_key    
        self.deployment_id = deployment_id  
        self.api_version = api_version  

ranfysvalle02

from autogen.agentchat.contrib.retrieve_assistant_agent import RetrieveAssistantAgent
from autogen.agentchat.contrib.retrieve_user_proxy_agent import RetrieveUserProxyAgent
import autogen

config_list = [
    {
        'model': 'gpt-3.5-turbo',
        'api_key': 'sk-',
    },
]

ranfysvalle02

from openai import AzureOpenAI
from openai import OpenAI
#v1 beta openai https://github.com/openai/openai-python/discussions/631
#assistants: https://platform.openai.com/docs/assistants/how-it-works

#AZURE
# gets the API Key from environment variable AZURE_OPENAI_API_KEY
client = AzureOpenAI(
    api_version="2023-09-01-preview",
    azure_endpoint="https://.openai.azure.com",

ranfysvalle02

from council.agents import Agent
from council.chains import Chain
from council.llm import AzureLLM
from council.skills import LLMSkill
from council.agents import Agent
from council.filters import BasicFilter
from council.controllers import LLMController
from council.evaluators import LLMEvaluator

import os

ranfysvalle02

import itertools
import openai
from actionweaver.llms.openai.chat import OpenAIChatCompletion
from actionweaver import action, RequireNext,SelectOne
openai.api_key = "sk-" #os.getenv("OPENAI_API_KEY")
from pymongo import MongoClient  
import json
connection_string="mongodb+srv://abc123:[email protected]/?retryWrites=true&w=majority"
mongodb_client = MongoClient(connection_string)