getpass: is a Python library that lets us enter our passwords without displaying them on the screen. Similar to the way we enter our passwords on the Linux terminal. This is for security purposes. The init() fu
It used the name that you gave in the input() request.This is the essential pattern when working with Python keyboard input:Call input() with a prompt explaining what to enter. Assign the result to a descriptively named variable. Use that variable later in your code....
#!/usr/bin/python # # Reference: http://isbullsh.it/2012/06/Rest-api-in-python/ # import sys import getpass import json import requests BASE_URL = "http://confluence.XXXXXX.com/rest/api/content" PAGEID = 9470040 def main(): username = raw_input('login: ') passwd = ...
cohere: The official Cohere Python library. It will provide access to advanced language models, embedding generation, and text generation. pymongo: The official Python driver for MongoDB. While commented out in the installation, it suggests potential use for interacting with MongoDB databases, enabl...
The results will be the creation of an empty Python file if not already existing, and the following code is added to the file: import json import random import urllib.request Import getpass host = input(“Please enter the host URL”) ...
Alright, let's test our program. First, let's pass --help to see the arguments:$ python encrypt_pdf.py --help CopyOutput:usage: encrypt_pdf.py [-h] [-a {encrypt,decrypt}] [-l {1,2}] -p [PASSWORD] [-o OUTPUT_FILE] file These options are available positional arguments: file ...
Write a simple Python function to accept search terms/phrases and pass it through the Cohere embed API again to get a query vector. Take these resultant query vector embeddings and perform a vector search query using the$vectorsearchoperator in the MongoDB Aggregation Pipeline. ...
On Windows, use:set OPENAI_API_KEY='your-api-key-here' Now your API key is available in your script, and you can access it using the os module in Python. Method 2: Using an .env file If you prefer a more permanent solution, you can use a .env file to store your environment vari...
To use the ChromaVectorStore with OpenAI embeddings, you need to follow these steps: Set up OpenAI and ChromaDB: import os import getpass import openai import chromadb os.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:") openai.api_key = os.environ["OPENAI_API_KEY"] ...
Calling runnables in parallel Custom functions When composing chains with several steps, sometimes you will want to pass data from previous steps unchanged for use as input to a later step. TheRunnablePassthroughclass allows you to do just this, and is typically is used in conjunction with aRun...