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			105 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			105 lines
		
	
	
		
			2.2 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
{
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 "cells": [
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  {
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   "cell_type": "markdown",
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   "id": "16f2c32e",
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   "metadata": {},
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   "source": [
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    "## Document Loading\n",
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    "\n",
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    "Load a blog post on agents."
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 1,
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   "id": "c9fadce0",
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "from langchain.document_loaders import WebBaseLoader\n",
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    "\n",
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    "loader = WebBaseLoader(\"https://lilianweng.github.io/posts/2023-06-23-agent/\")\n",
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    "text = loader.load()"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "id": "4086be03",
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   "metadata": {},
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   "source": [
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    "## Run Template\n",
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    "\n",
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    "In `server.py`, set -\n",
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    "```\n",
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    "add_routes(app, chain_ext, path=\"/extraction_openai_functions\")\n",
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    "```"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 2,
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   "id": "ed507784",
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   "metadata": {},
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   "outputs": [],
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   "source": [
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    "from langserve.client import RemoteRunnable\n",
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    "\n",
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    "oai_function = RemoteRunnable(\"http://0.0.0.0:8001/extraction_openai_functions\")"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "id": "68046695",
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   "metadata": {},
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   "source": [
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    "The function wille extract paper titles and authors from an input."
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 8,
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   "id": "6dace748",
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   "metadata": {},
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   "outputs": [
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    {
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     "data": {
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      "text/plain": [
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       "[{'title': 'Chain of Thought', 'author': 'Wei et al. 2022'},\n",
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       " {'title': 'Tree of Thoughts', 'author': 'Yao et al. 2023'},\n",
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       " {'title': 'LLM+P', 'author': 'Liu et al. 2023'}]"
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      ]
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     },
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     "execution_count": 8,
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     "metadata": {},
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     "output_type": "execute_result"
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    }
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   ],
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   "source": [
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    "oai_function.invoke({\"input\": text[0].page_content[0:4000]})"
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   ]
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  }
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 ],
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 "metadata": {
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  "kernelspec": {
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   "display_name": "langserve",
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   "language": "python",
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   "name": "langserve"
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  },
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  "language_info": {
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   "codemirror_mode": {
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    "name": "ipython",
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    "version": 3
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   },
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   "file_extension": ".py",
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   "mimetype": "text/x-python",
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   "name": "python",
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   "nbconvert_exporter": "python",
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   "pygments_lexer": "ipython3",
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   "version": "3.9.16"
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  }
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 },
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 "nbformat": 4,
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 "nbformat_minor": 5
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}
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