S3 Setup

pip install boto3 pandas matplotlib seaborn tqdm python-dotenv

import seaborn as sns
import matplotlib.pyplot as plt
import pandas as pd
import boto3
from io import StringIO
from typing import Tuple, Optional, List
from os import getenv
import warnings
from dotenv import load_dotenv
import tempfile
from concurrent.futures import ThreadPoolExecutor
from tqdm.notebook import tqdm

# Create .env file
ACCESS_KEY=your_access_key_here
SECRET_KEY=your_secret_key_here
S3_BUCKET_NAME=your_bucket_name_here

from dotenv import load_dotenv
from os import getenv
import warnings

# Load environment variables from .env file
load_dotenv(override=True)
warnings.filterwarnings("ignore")

# AWS credentials from environment
ACCESS_KEY = getenv("ACCESS_KEY")
SECRET_KEY = getenv("SECRET_KEY")
S3_BUCKET_NAME = getenv("S3_BUCKET_NAME")
S3_REGION = "us-east-1"

# Validate credentials are loaded
if any(v is None for v in [ACCESS_KEY, SECRET_KEY, S3_BUCKET_NAME]):
    raise ValueError("Please set AWS credentials and bucket name in .env file.")

# AWS credentials (provided by Babbl Labs)
ACCESS_KEY = "your_access_key_here"
SECRET_KEY = "your_secret_key_here"  
S3_BUCKET_NAME = "your_bucket_name_here"
S3_REGION = "us-east-1"