imartinez

import uvicorn
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.responses import StreamingResponse
from typing import AsyncGenerator

from llama_index.llms import LlamaCPP
from llama_index.llms.llama_utils import messages_to_prompt, completion_to_prompt

llms = {}

denguir

How to install CUDA / cuDNN / TensorRT on Ubuntu

Install NVIDIA drivers

Update & upgrade

sudo apt update && sudo apt upgrade

Remove previous NVIDIA installation

ninely

"""This is an example of how to use async langchain with fastapi and return a streaming response.
The latest version of Langchain has improved its compatibility with asynchronous FastAPI,
making it easier to implement streaming functionality in your applications.
"""
import asyncio
import os
from typing import AsyncIterable, Awaitable

import uvicorn
from dotenv import load_dotenv

rain-1

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

liviaerxin

FastAPI and Uvicorn Logging

When running FastAPI app, all the logs in console are from Uvicorn and they do not have timestamp and other useful information. As Uvicorn applies python logging module, we can override Uvicorn logging formatter by applying a new logging configuration.

Meanwhile, it's able to unify the your endpoints logging with the Uvicorn logging by configuring all of them in the config file log_conf.yaml.

Before overriding:

uvicorn main:app --reload

gregveres

import { Extension } from "@tiptap/core";
import "@tiptap/extension-text-style";

export type FontSizeOptions = {
  types: string[];
};

declare module "@tiptap/core" {
  interface Commands<ReturnType> {
    fontSize: {

cyrilou242

Manipulation (positive ou négative): émotionnelle, de la perception de soi et de la perception de la société

Emotions

1. Experimental evidence of massive-scale emotional contagion through social networks, (2014).
   Papier très connu de Facebook, l'objectif est de voir à quel point la contagion émotionelle fonctionne sur FB. Les chercheurs font apparaitre plus ou moins de contenus postifs/négatifs dans le NewsFeed.
   "When positive expressions were reduced, people produced fewer positive posts and more negative posts; when negative expressions were reduced, the opposite pattern occurred. These results indicate that emotions expressed by others on Facebook influence our own emotions, constituting experimental evidence for massive-scale contagion via social networks"

bittner

Ctrl + Alt + Space

rohshall

import os
import shlex
import subprocess

sink = open('/dev/null', 'w')

def convert_book(input, output):
    subprocess.call("ebook-convert" + " " + input  + " " + output, shell=True, stdout=sink, stderr=sink)

steven2358

FFmpeg cheat sheet

A list of useful commands for the FFmpeg command line tool.

Download FFmpeg: https://www.ffmpeg.org/download.html

Full documentation: https://www.ffmpeg.org/ffmpeg.html

Basic conversion