Hal Rottenberg halr9000

Utility functions for use with Ollama in PowerShell

Want to run AI Large Language Models (LLM) locally? One great way is with Ollama, which can host many state of the art LLMs. Ollama is a command-line utility (CLI) that can be used to download and manage the model files (which are often multiple GB), perform the actual LLM inference, and provide a REST API to expose the LLMs to other applications on your system. Ollama is quick to install.

This repo contains functions for PowerShell. You can dot source this file to make the functions available in your current PowerShell session, or add it to your profile to make them available for every session. This was developed on Windows, but should work as-is on a Linux or [MacOS]

MusicGen for Windows

Overview

The following is a super quick mnod of facebookresearch/audiocraft to reliably install PyTorch with Cuda support on Windows, which the original repo does not document, and that slowed me down quite a bit. I wasted time so you don't have to! I am too lazy to create a proper fork and PR, but I'm sure someone else can do that if motivated.

I have included both virtualenv and conda methods.

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=no">
	<title>360 Panorama Viewer</title>
	<script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r128/three.min.js"></script>
	<style>
	body, html {
	margin: 0;

	import argparse
	import ast
	from gradio_client import Client, handle_file
	import json
	import logging

	logging.basicConfig(level=logging.ERROR, format='%(asctime)s - %(levelname)s - %(message)s')

	# Define the task_prompts dictionary first
	task_prompts = {

	<#
	.SYNOPSIS
	Moves files to a destination folder based on their creation date.

	.DESCRIPTION
	This function moves files to a specified destination folder. The destination folder is structured by the file's creation date (yyyy-MM-dd). If the destination folder for a specific date does not exist, it will be created.

	.PARAMETER Path
	The file(s) to be moved. This parameter accepts pipeline input.

	<#
	.SYNOPSIS
	Converts a GIF file to an MP4 file using ffmpeg.

	.DESCRIPTION
	The ConvertTo-Mp4 function takes a GIF file as input and converts it into an MP4 file.
	It creates a directory named "mp4" to store the converted files.
	If the MP4 file already exists, it will not perform the conversion.

	# Flags used with ffmpeg

	try {
	$output = nvidia-smi.exe -q -x
	}
	catch {
	<#Do this if a terminating exception happens#>
	throw "NVIDIA System Management Interface (nvidia-smi.exe) is not found. Learn more at https://developer.nvidia.com/nvidia-system-management-interface"
	}

	$xml = [xml]$output
	$log = $xml.nvidia_smi_log

	## Basic helper script for VQGAN-CLIP generation
	## Assumes you have all dependencies setup as per https://github.com/nerdyrodent/VQGAN-CLIP
	## Start from an Anaconda PowerShell shell, such as the shortcut in your start menu
	## Be sure to setup the VQGAN Python environment first, but the script will activate it for you
	## Place this script in the base directory containing generate.py
	##
	## Example 1: Run three jobs from an array
	## > $prompts = "prompt1", "prompt2\|3\|4", "prompt5"
	## > $prompts \| % { .\gen.ps1 -Prompt $_ -Path $_.replace("\|","-") }
	##

	<![LOG[CScanAgent::ScanByUpdates - Found UpdateClassification 0fa1201d-4330-4fa8-8ae9-b877473b6441 for Update:f2b6e975-cae9-493a-a17d-ca429e6738e5]LOG]!><time="10:40:29.580+300" date="11-12-2014" component="ScanAgent" context="" type="1" thread="12052" file="cscanagent.cpp:470">
	<![LOG[Found CategoryID of :bfe5b177-a086-47a0-b102-097e4fa1f807 for Update:f61f6c4b-4598-4571-9663-9333a0906778]LOG]!><time="10:40:29.642+300" date="11-12-2014" component="ScanAgent" context="" type="1" thread="12052" file="cscanagent.cpp:453">
	<![LOG[CScanAgent::ScanByUpdates - Found UpdateClassification 0fa1201d-4330-4fa8-8ae9-b877473b6441 for Update:f61f6c4b-4598-4571-9663-9333a0906778]LOG]!><time="10:40:29.643+300" date="11-12-2014" component="ScanAgent" context="" type="1" thread="12052" file="cscanagent.cpp:470">
	<![LOG[Found CategoryID of :2ee2ad83-828c-4405-9479-544d767993fc for Update:f6bb2d17-0f0e-4a98-970b-7aaa85aae8ce]LOG]!><time="10:40:29.643+300" date="11-12-2014" component="ScanAgent" context="" type="1" thread="12052"