tuanlda78202

import os
import csv
import torch
from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
from tqdm import tqdm


def transcribe_audio_files(input_dir, output_csv):
    device = "cuda:0" if torch.cuda.is_available() else "cpu"
    torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32

tuanlda78202

import os
import streamlit as st
from streamlit_chat import message
from dotenv import load_dotenv
from huggingface_hub import hf_hub_download

# LangChain Core imports
from langchain_core.messages import HumanMessage, AIMessage
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import RunnablePassthrough