aleksandr-smechov

const BASE_BACKEND_URL = window.location.protocol + '//' + window.location.host;
const fileInput = document.getElementById('fileInput');
const uploadButton = document.getElementById('uploadButton')
const closeUploadModalButton = document.getElementById('closeUploadModalButton'); // the upload box is in a modal
const progressBar = document.getElementById('uploadProgressBar');

uploadButton.disabled = false;
let xhr;

const getBaseConfig = (method) => ({

aleksandr-smechov

# Adapted from
# https://github.com/lm-sys/FastChat/blob/168ccc29d3f7edc50823016105c024fe2282732a/fastchat/serve/openai_api_server.py

import argparse
import asyncio
import json
import os
import time
from http import HTTPStatus
from typing import AsyncGenerator, Dict, List, Optional, Tuple, Union

aleksandr-smechov

import datetime
import platform
import subprocess

import sys
import asyncio
import websockets

import numpy as np
from typing import Tuple, Optional, Union

aleksandr-smechov

import asyncio
from typing import List

import numpy as np
from fastapi import FastAPI, WebSocket, WebSocketDisconnect

import torch
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline

aleksandr-smechov

import argparse
import requests
import gradio as gr


def http_bot(prompt, model_input, api_key, temperature, max_tokens, top_p):
    headers = {"User-Agent": "vLLM Client"}
    payload = dict(
        model=model_input,
        api_key=api_key,

aleksandr-smechov

def estimate_none_timestamps(timestamp_list):
    """
    Estimates missing timestamps in a list of timestamp segments based on the character length of segment times.

    Parameters:
    timestamp_list (list): A list of timestamp segments with text.

    Returns:
    list: The list with estimated missing timestamps.
    """