code: # Copyright (c) Meta Platforms, Inc. and affiliates.
  # This software may be used and distributed according to the terms of the Llama 2 Community License Agreement.
  
  import langchain
  from langchain.llms import Replicate
  
  from flask import Flask
  from flask import request
  import os
  import requests
  import json
  
  os.environ["REPLICATE_API_TOKEN"] = "<your replicate api token>"
  llama2_13b_chat = "meta/llama-2-13b-chat:f4e2de70d66816a838a89eeeb621910adffb0dd0baba3976c96980970978018d"
  
  llm = Replicate(
      model=llama2_13b_chat,
      model_kwargs={"temperature": 0.01, "top_p": 1, "max_new_tokens":500}
  )
  
  app = Flask(__name__)
  
  @app.route('/msgrcvd_pager', methods=['POST', 'GET'])
  def msgrcvd_pager():    
      message = request.args.get('message')
      sender = request.args.get('sender')
      recipient = request.args.get('recipient')
  
      answer = llm(message)
      print(message)
      print(answer)
  
      url = f"https://graph.facebook.com/v18.0/{recipient}/messages"
      params = {
          'recipient': '{"id": ' + sender + '}',
          'message': json.dumps({'text': answer}),
          'messaging_type': 'RESPONSE',
          'access_token': "<your page access token>"
      }
      headers = {
          'Content-Type': 'application/json'
      }
      response = requests.post(url, params=params, headers=headers)
      print(response.status_code)
      print(response.text)
  
      return message + "<p/>" + answer
  
  
apis: langchain.llms.Replicate
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