truevis

@echo off
setlocal enabledelayedexpansion

REM ===================================================================
REM GitHub Bulk Collaborator Management Script
REM ===================================================================
REM This script adds a collaborator to multiple GitHub repositories
REM in bulk using the GitHub CLI (gh).
REM
REM Prerequisites:

truevis

import os
import ftplib
import json
from datetime import datetime, date
import fnmatch
# Import FTP credentials from configuration file
from ftp_config import FTP_HOST, FTP_USER, FTP_PASS


# --- Local Configuration ---

truevis

import os
import base64
import json
import time
from pathlib import Path
from mistralai import Mistral
from typing import Optional

# API key - directly defined
api_key = "YO123"

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model = "gemini-2.0-pro-exp-02-05"  
# Set API key
GEMINI_API_KEY = "abc"

def log_failed_validation(pdf_path):
    """Log failed validation to failed.log with timestamp"""
    if pdf_path:
        base_name = os.path.splitext(os.path.basename(pdf_path))[0]
        timestamp = datetime.now().isoformat()
        with open('failed.log', 'a') as f:

truevis

import re
from pytube import YouTube

def download_youtube_audio(url):
    yt = YouTube(url)
    audio_stream = yt.streams.filter(only_audio=True).first()
    
    # Remove invalid characters from the filename using regex
    cleaned_title = re.sub(r'[<>:"/\\|?*]', '_', yt.title)
    

truevis

import streamlit as st
from langchain_groq import ChatGroq
from langchain_core.prompts import ChatPromptTemplate

def generate_response(user_input):
    chain = prompt | chat
    for chunk in chain.stream({"text": "\n".join([f"{role}: {msg}" for role, msg in st.session_state.messages])}):
        content = chunk.content
        #replace $ in content so no latex
        content = content.replace("$", "\\$")

truevis

import streamlit as st
from groq import Groq

# Initialize Groq client with API key
client = Groq(api_key="gsk_123")

def generate_response(user_input):
    stream = client.chat.completions.create(
        model="llama3-70b-8192",
        messages=[

truevis

from groq import Groq

# Initialize Groq client with API key
client = Groq(api_key="gsk_123")

completion = client.chat.completions.create(
    model="llama3-70b-8192",
    messages=[
        {
            "role": "system",

truevis

import os

from llama_parse import LlamaParse  # pip install llama-parse
from llama_index.core import SimpleDirectoryReader  # pip install llama-index
source_directory = r'\data'
target_directory = r'\tables'

parser = LlamaParse(
    api_key="...",  # can also be set in your env as LLAMA_CLOUD_API_KEY
    result_type="markdown",  # "markdown" and "text" are available

truevis

# Configure the API key
GOOGLE_API_KEY = "123"
genai.configure(api_key=GOOGLE_API_KEY)
# Load environment variables
GOOGLE_API_KEY = os.getenv('GOOGLE_API_KEY')

def generate_content_with_gemini(prompt):
    model = genai.GenerativeModel('gemini-pro-vision')
    text_content = ''
    response = None  # Initialize response to ensure it's in the proper scope