wilyJ80

from pydantic import SecretStr
import requests
from pymupdf import pymupdf
from langchain_text_splitters import RecursiveCharacterTextSplitter

print("# 1. Load e Split do PDF")
file = pymupdf.open('./doc.pdf')
content = ""
content += file[0].get_text("text")

wilyJ80

import httpx

MAX_TOKENS = 2048
truncated_snippets = []

print('[INFO] Reading file...')
snippets = []
with open('./pacmanlog.txt', 'r') as f:
    snippets = f.readlines()

wilyJ80

from langchain_core.messages import SystemMessage, HumanMessage
from pydantic import SecretStr
from langchain_openai import ChatOpenAI
from langchain_text_splitters import RecursiveCharacterTextSplitter
from typing import cast
from pymupdf import pymupdf

print('[INFO] Loading text...')

doc = pymupdf.open('./report.pdf')

wilyJ80

#!/bin/bash

# Fix paths for crontab
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
TARGET_DIR="/home/rubus/backups"

# Error handling
set -euo pipefail
trap cleanup ERR SIGINT SIGTERM
cleanup() {

wilyJ80

from langchain_text_splitters import RecursiveCharacterTextSplitter
from llama_cpp import Llama, CreateChatCompletionResponse
from typing import cast
from pymupdf import pymupdf

print('[INFO] Loading text...')

doc = pymupdf.open('./report.pdf')
content = ''
for page in doc:

wilyJ80

-- Personal preferences
vim.opt.tabstop = 4
vim.opt.shiftwidth = 4
vim.opt.softtabstop = 4

-- Other custom required stuff
vim.opt.termguicolors = true

-- Set <space> as the leader key
-- See `:help mapleader`

wilyJ80

[
    {
        "model": "BAAI/bge-base-en",
        "sources": {
            "hf": "Qdrant/fast-bge-base-en",
            "url": "https://storage.googleapis.com/qdrant-fastembed/fast-bge-base-en.tar.gz",
            "_deprecated_tar_struct": true
        },
        "model_file": "model_optimized.onnx",
        "description": "Text embeddings, Unimodal (text), English, 512 input tokens truncation, Prefixes for queries/documents: necessary, 2023 year.",

wilyJ80

#include "esp32-hal-gpio.h"
#include <Arduino.h>
#include <WiFi.h>
#include <asyncHTTPrequest.h>

asyncHTTPrequest request;
unsigned long lastReq = 0;
const unsigned long interval = 5000;

void requestCB(void* optParm, asyncHTTPrequest* request, int readyState) {

wilyJ80

class Led {
public:
  Led(byte pinNo) : _pinNo(pinNo), _prev(0) {
    pinMode(_pinNo, OUTPUT);
  }
  void update(unsigned const long interval);
private:
  byte _pinNo;
  unsigned long _prev;
};

wilyJ80

from typing import Any, cast
import chainlit as cl
from langchain_core.runnables import Runnable, RunnableConfig
from langchain_google_genai import ChatGoogleGenerativeAI


@cl.on_chat_start
async def on_chat_start():
    model = 'gemini-2.5-flash-lite'
    llm = ChatGoogleGenerativeAI(model=model)