madhurprash

madhurprash

import boto3
import json
from typing import Dict, List, Optional
import re

def get_detailed_s3_uris(
    knowledge_base_id: str,
    data_source_id: str
) -> Dict:
    """

madhurprash

import os
import shutil
import concurrent.futures
import boto3
from pathlib import Path
import logging
import time

def move_folders_to_combined(bucket_name, folders_to_move=["SSE", "FPA", "Hypershield"], log_level=logging.INFO):
    """

madhurprash

import qrcode
import logging
import re
import os

# Install the following package before running the script: pip install qrcode

# set a logger
logging.basicConfig(
    format='[%(asctime)s] p%(process)s {%(filename)s:%(lineno)d} %(levelname)s - %(message)s',

madhurprash

madhurprash

import os
import csv
import logging
import requests
from datetime import datetime
from typing import Optional, List

logging.basicConfig(format='[%(asctime)s] p%(process)s {%(filename)s:%(lineno)d} %(levelname)s - %(message)s', level=logging.INFO)
logger = logging.getLogger(__name__)

madhurprash

madhurprash

Human: you are a metadata tagger, see the following schema and tag the data that follows to extract the metadata fields listed in the schema:

<schema>
schema = {
                    "properties": {
                        "movie_title": { "type": "string" },
                        "critic": { "type": "string" },
                        "tone": {
                            "type": "string",
                            "enum": ["positive", "negative"]

madhurprash

"""
Get information about models in Amazon SageMaker JumpStart.
Tested with sagemaker SDK version 2.203.0.
"""

## View the full list of models available through JumpStart here: https://sagemaker.readthedocs.io/en/stable/doc_utils/pretrainedmodels.html

import pandas as pd
from typing import Dict, List
from sagemaker import get_execution_role

madhurprash

import json
import botocore.session
import requests as req
from botocore.auth import SigV4Auth
from botocore.awsrequest import AWSRequest

# Configuration and payload
region = "us-east-1"
model_id = 'cohere.command-text-v14'
endpoint = f"https://bedrock-runtime.{region}.amazonaws.com/model/{model_id}/invoke"