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

truevis

import numpy as np
import pinecone

PINECONE_API_KEY = "your_pinecone_api_key"
PINECONE_ENVIRONMENT = "gcp-starter"
PINECONE_INDEX_NAME = "your_index_name"

# Function to retrieve vector IDs from a query
def get_ids_from_query(index, input_vector):
    results = index.query(vector=input_vector, top_k=10000, include_values=False)

truevis

import google.generativeai as genai
import tkinter as tk
from tkinter import filedialog
import os
import time

GOOGLE_API_KEY = "YOUR_API_KEY"
genai.configure(api_key=GOOGLE_API_KEY)

def generate_content_with_gemini(prompt):

truevis

from gradio_client import Client
import os
import shutil
# https://huggingface.co/spaces/JingyeChen22/TextDiffuser-2
destination_directory = 'd:\\downloads\\'
client = Client("https://jingyechen22-textdiffuser-2.hf.space/--replicas/snjqb/")
result = client.predict(
		"-1",	# str  in 'guest_id' Textbox component
		"<|startoftext|>poster of four players playing beach volleyball and net photorealistic <|endoftext|><|startoftext|> l36 t18 r90 b35 [M] [a] [l] [i] [b] [u] <|endoftext|> l38 t32 r87 b52 [B] [e] [a] [c] [h] <|endoftext|> l21 t51 r105 b76 [V] [o] [l] [l] [e] [y] [b] [a] [l] [l] <|endoftext|><|endoftext|>",	# str  in 'Prompt. You can let language model automatically identify keywords, or provide them below' Textbox component
		"Malibu/Beach/Volleyball",	# str  in '(Optional) Keywords. Should be separated by / (e.g., keyword1/keyword2/...)' Textbox component

truevis

import tkinter as tk
from tkinter import filedialog, messagebox
import shutil
import datetime
import os
import json

# Constants
LAST_FOLDER_FILE = "last_folder.json"