rickt

from flask import Flask, request, jsonify, Response
from faster_whisper import WhisperModel
import subprocess

app = Flask(__name__)

# Initialize the faster-whisper model
model = WhisperModel("small", device="cuda")  # Use 'cuda' to leverage the GPU

@app.route('/transcribe', methods=['POST'])

rickt

#
# Dockerfile for a simple PoC faster-whisper translation server in GCP GPU Cloud Run
# 20240925 rickt
#
#  build: $ docker build -t gcr.io/<gcp_project_name>/<service_name> .
#   push: $ docker push gcr.io/<gcp_project_name>/<service_name>
# deploy: $ gcloud beta run deploy <service_name> --region us-central1 --image gcr.io/<gcp_project_name>/<service_name> \
#           --port 8080 --cpu 8 --memory 32Gi --gpu 1 --gpu-type nvidia-l4 --max-instances 1 --allow-unauthenticated
#

rickt

#! /bin/bash
#
# rough and ready bash script to download & decrypt a widevine-encrypted video via MPD URL
# this will work with (for example) channel5 UKTV
#
# assumptions:
# 1) the following binaries are in your $PATH:
#    curl, ffmpeg, head, jq, mp4decrypt, yt-dlp
#
# this script requires 2x arguments:

rickt

#! /bin/bash

# set required date range using epoch. sample data used below
RANGE=`seq 1642701000 50 1642710633`

# ensure tmp folder exists
TEMPDIR=/tmp/fogpics_$$
[ ! -d "$TEMPDIR" ] && mkdir -p $TEMPDIR

# download the pics

rickt

package main

import (
   "fmt"
   "github.com/dustin/go-humanize"
   "golang.org/x/oauth2"
   "golang.org/x/oauth2/google"
   "google.golang.org/api/drive/v3"
   "io/ioutil"
   "log"

rickt

import os
from google.cloud import bigquery

def csv_loader(data, context):
        client = bigquery.Client()
        dataset_id = os.environ['DATASET']
        dataset_ref = client.dataset(dataset_id)
        job_config = bigquery.LoadJobConfig()
        job_config.schema = [
                bigquery.SchemaField('id', 'INTEGER'),

rickt

package main

// https://rickt.org/2019/01/08/playing-with-g-suite-mdm-mobile-device-data-using-go/

import (
	"context"
	"errors"
	"flag"
	"fmt"
	"github.com/dustin/go-humanize"

rickt

#
# Example fluentd config file for nginx access log injection into Google Bigquery

# collecting nginx access log 
<source>
  @type tail
  tag accesslogs-rickts-dev-box
  path /var/log/nginx/access.log
  format apache
  buffer_type file

rickt

package slackweatherbot

import (
	owm "github.com/briandowns/openweathermap"
	"golang.org/x/net/context"
	"google.golang.org/appengine"
	"google.golang.org/appengine/log"
	"google.golang.org/appengine/urlfetch"
	"net/http"
	"os"

rickt

package main

import (
   "encoding/json"
   "fmt"
   "log"
   "net/http"
   "strings"
   "time"
)