sersayser

lisakim0 / app.py

Created January 24, 2025 06:26

A Retrieval-Augmented Generation (RAG) system for PDF document analysis using DeepSeek-R1 and Ollama.

	import streamlit as st
	from langchain_community.document_loaders import PDFPlumberLoader
	from langchain_experimental.text_splitter import SemanticChunker
	from langchain_community.embeddings import HuggingFaceEmbeddings
	from langchain_community.vectorstores import FAISS
	from langchain_community.llms import Ollama
	from langchain.prompts import PromptTemplate
	from langchain.chains.llm import LLMChain
	from langchain.chains.combine_documents.stuff import StuffDocumentsChain
	from langchain.chains import RetrievalQA

ajardin / capture.html

Created February 8, 2016 08:51

Capture a thumbnail from a video with JavaScript.

	<!DOCTYPE html>
	<head>
	<script type='text/javascript'>
	window.onload = function () {
	var video = document.getElementById('videoId');
	var canvas = document.getElementById('canvasId');
	var img = document.getElementById('imgId');

	video.addEventListener('play', function () {
	canvas.style.display = 'none';