darko-mesaros

#!/bin/bash

set -e

if ! command -v ffmpeg 2>&1 >/dev/null
then
    echo "ffmpeg could not be found. Please install it before using this script"
    echo "Mac users: brew install ffmpeg"
    echo "Windows users: choco install ffmpeg"
    echo "Linux: You already know"

darko-mesaros

import os
import boto3
from tqdm import tqdm

s3_client = boto3.client('s3')


def upload_and_sign(file_path, bucket):
    file_name = os.path.basename(file_path)
    file_size = os.path.getsize(file_path)

darko-mesaros

import os
import boto3

s3_client = boto3.client('s3')


def upload_and_sign(file_path, bucket):
    file_name = os.path.basename(file_path)

    s3_client.upload_file(file_path, bucket, file_name)

darko-mesaros

import json
from typing import List, Dict, Optional

def parse_and_validate_recommendations(llm_output: str) -> List[Dict[str, str]]:
    try:
        # Attempt to parse the JSON output
        data = json.loads(llm_output)
        
        # Validate the structure of the parsed data
        if not isinstance(data, list):

darko-mesaros

import boto3

client = boto3.client('bedrock-runtime', region_name='us-east-1')
model_id = 'anthropic.claude-3-sonnet-20240229-v1:0'
user_message = "Who is Alan Ford, the comic book character?"

conversation = [
    {
        "role": "user",
        "content": [{"text":user_message}],

darko-mesaros

import boto3
import os

# Set up AWS credentials (fetch from environment variables)
session = boto3.Session()
bedrock_client = session.client('bedrock-runtime')

# Set the model ID for Anthropic Claude 3 Sonnet
model_id = "anthropic.claude-3-sonnet-20240229-v1:0"

darko-mesaros

#!/bin/bash

# function that shows you how to use this tool
usage() {
  echo "Usage $0 [-o outfile] [-d outdir] [-f fps]"
  echo "  -o: Specify the output file (default: screen_rec_<current_time_and_date>.mp4)"
  echo "  -d: Specify the output directory (default: ./)"
  echo "  -f: Specify the fps (default: 30)"
  exit 1
}

darko-mesaros

import * as cdk from 'aws-cdk-lib';
import * as apigateway from 'aws-cdk-lib/aws-apigateway';
import * as dynamodb from 'aws-cdk-lib/aws-dynamodb';
import * as iam from 'aws-cdk-lib/aws-iam';
import * as lambda from 'aws-cdk-lib/aws-lambda';
import * as pylambda from '@aws-cdk/aws-lambda-python-alpha';
import * as lambdaEventSources from 'aws-cdk-lib/aws-lambda-event-sources';
import * as sqs from 'aws-cdk-lib/aws-sqs';
import { Construct } from 'constructs';

darko-mesaros

import boto3

from InquirerPy import inquirer


# Create an Amazon Bedrock Runtime client
bedrock_client = boto3.client('bedrock-runtime')

# dictionary that contains multiple model ids
model_ids = [

darko-mesaros

10 GOSUB 1100
11 HOME
20 GOSUB 1000
30 GOSUB 30
40 HTAB X: VTAB Y
50 PRINT "Hello Internet";
60 FOR I = 1 TO 1000
70 NEXT I
80 GOTO 11
100 REM randomize x and y