Faris Hijazi FarisHijazi

A simple example for Streamlit and Flask project

server.py contains the API code for the Flask server (back-end)
main.py contains the streamlit code (front-end)

Requirements

pip install plotly streamlit pandas requests flask

To run access a remote jupyter notebook, you will need to do the following:

Setting ssh config file (~/.ssh/config):

Host FLIP # access point server
    HostName access.engr.oregonstate.edu
    User ONIDusername
Host DGX # target server
    HostName submit-b.hpc.engr.oregonstate.edu
    User ONIDusername

Converting DreamBooth `.bin` files to a `.ckpt` model file.

These instructions are based on DreamBooth usage with the https://github.com/ShivamShrirao/diffusers repo.

1. Add the script files

Below are 2 files. "convertToCkpt.py" and "toCkpt.sh". Create those files inside the examples/dreambooth folder with the code provided.

	#!/usr/bin/env python
	# -- coding: utf-8 --

	import random

	def itershuffle(iterable,bufsize=1000):
	"""Shuffle an iterator. This works by holding `bufsize` items back
	and yielding them sometime later. This is NOT 100% random, proved or anything."""
	iterable = iter(iterable)
	buf = []

	// ==UserScript==
	// @name View Image
	// @namespace https://github.com/bijij/ViewImage
	// @version 4.1.1
	// @description This userscript re-implements the "View Image" and "Search by image" buttons into google images.
	// @author Joshua B
	// @run-at document-end
	// @include http://.google.tld/searchtbm=isch
	// @include http://.google.tld/imgres*
	// @updateURL https://gist.githubusercontent.com/bijij/58cc8cfc859331e4cf80210528a7b255/raw/viewimage.user.js

	#!/bin/bash

	### steps ####
	# Verify the system has a cuda-capable gpu
	# Download and install the nvidia cuda toolkit and cudnn
	# Setup environmental variables
	# Verify the installation
	###

	### to verify your gpu is cuda enable check

	#!/bin/bash

	# https://gist.github.com/FarisHijazi/4ba8d9768eddc6f218ecd21824c24909

	#TODO: fix directory naming, name it something related to the file

	# argparsing from: https://stackoverflow.com/a/39376824/7771202
	# usage function
	function usage()
	{

	"""
	VoiceFixer

	$ python voicefixer_cli.py -i ~/Downloads/download.mp3

	# for running on multiple files
	$ find path/to/folder -name ".wav" -not -name "denoised*" \|xargs -P 20 -I{} sh -c 'python voicefixer_cli.py -i {}'

	"""
	"""

	import copy

	import torch
	import torch.nn.functional as F
	import torch.backends.cuda as cuda
	from torch.utils.data import DataLoader, IterableDataset

	import wandb
	from tqdm import tqdm
	import bitsandbytes as bnb

Faris Hijazi FarisHijazi

A simple example for Streamlit and Flask project

Requirements

Converting DreamBooth .bin files to a .ckpt model file.

1. Add the script files

1a. Python convert script (required)

Converting DreamBooth `.bin` files to a `.ckpt` model file.