Jesse Andrews anotherjesse

A first pass at creating a @langchain vectorstore for each tweet I have "liked"

I already store them as a json blob on https://lets.m4ke.org/tweets

This ingests them documents - each looking like @twitter_user_name says tweet_text_here

Samples:

>>> qa.run("what is @jakedahn tweeting about")

' @jakedahn is tweeting about art and creativity.'

polling

model = replicate.models.get("replicate/hello-world")
version = model.versions.get("5c7d5dc6dd8bf75c1acaa8565735e7986bc5b66206b55cca93cb72c9bf15ccaa")
inputs = {
  "text": "world",
}
output = version.predict(**inputs)

webhook

big picture

Build your docker image in a way that works with replicate, while limiting image "layers" to less than 20GB.

Steps

Build COG without weights

First build a version of the cog without weights. To do this ensure remove extra files/weights from your cog directory and then build.

using golang to create image pipe for ffmpeg

If you want to stream a slideshow using ffmpeg, it seems like one easy way to do it is to create an imagepipe of the files.

This can then be streamed to twitch.tv or youtube ... https://trac.ffmpeg.org/wiki/StreamingGuide

This sample cycles between images on disk

	import json
	import random


	db = {}


	def get_data(kind, count=1):
	if kind not in db:
	with open("clip_interrogator/data/{}.txt".format(kind)) as f:

	!pip install diffusers==0.4.0
	!pip install transformers ftfy

	from transformers import CLIPTokenizer, CLIPTextModel
	import torch

	torch_device = "cuda" if torch.cuda.is_available() else "cpu" # or just let it be cpu

	prompt = ["a photograph of an astronaut riding a horse"]

	import React, { useState } from "react";
	import ReactDOM from "react-dom";
	import { extend, Canvas } from "react-three-fiber";
	import DatGui, { DatColor, DatNumber, DatSelect } from "react-dat-gui";
	import { Text } from "troika-three-text";
	import fonts from "./fonts";

	import "react-dat-gui/build/react-dat-gui.css";
	import "./styles.css";

	<script>
	import {datastore} from './data.js';
	const ENTER_KEY = 13;
	const ESCAPE_KEY = 27;

	let currentFilter = 'all';
	let items = [];
	let editing = null;

	datastore.subscribe(db => {

	import {writable} from 'svelte/store';
	import Automerge from 'automerge';

	if (typeof trikeQuit !== 'undefined' \|\| trikeQuit !== null) {
	document.addEventListener('keypress', e => {
	if (e.metaKey && e.key === 'q') {
	trikeQuit();
	}
	});
	}

	package main

	import (
	"database/sql"
	"embed"
	"log"

	"github.com/manifold/tractor/toolkit/engine"
	"github.com/mattn/go-sqlite3"
	)