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	Replace this comment with: - Description: Add Bedrock implementation of Anthropic Claude for Chat - Tag maintainer: @hwchase17, @baskaryan - Twitter handle: @bwmatson --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
		
			
				
	
	
		
			107 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
			
		
		
	
	
			107 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Plaintext
		
	
	
	
	
	
| {
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|     "cells": [
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|         {
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|             "cell_type": "markdown",
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|             "id": "bf733a38-db84-4363-89e2-de6735c37230",
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|             "metadata": {},
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|             "source": [
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|                 "# Bedrock Chat\n",
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|                 "\n",
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|                 "[Amazon Bedrock](https://aws.amazon.com/bedrock/) is a fully managed service that makes FMs from leading AI startups and Amazon available via an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case"
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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": null,
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|             "id": "d51edc81",
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|             "metadata": {},
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|             "outputs": [],
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|             "source": [
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|                 "%pip install boto3"
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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": "d4a7c55d-b235-4ca4-a579-c90cc9570da9",
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|             "metadata": {
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|                 "tags": []
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|             },
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|             "outputs": [],
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|             "source": [
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|                 "from langchain.chat_models import BedrockChat\n",
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|                 "from langchain.schema import HumanMessage"
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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": "70cf04e8-423a-4ff6-8b09-f11fb711c817",
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|             "metadata": {
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|                 "tags": []
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|             },
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|             "outputs": [],
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|             "source": [
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|                 "chat = BedrockChat(model_id=\"anthropic.claude-v2\", model_kwargs={\"temperature\":0.1})"
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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": 3,
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|             "id": "8199ef8f-eb8b-4253-9ea0-6c24a013ca4c",
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|             "metadata": {
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|                 "tags": []
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|             },
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|             "outputs": [
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|                 {
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|                     "data": {
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|                         "text/plain": [
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|                             "AIMessage(content=\" Voici la traduction en français : J'adore programmer.\", additional_kwargs={}, example=False)"
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|                         ]
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|                     },
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|                     "execution_count": 3,
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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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|                 "messages = [\n",
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|                 "    HumanMessage(\n",
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|                 "        content=\"Translate this sentence from English to French. I love programming.\"\n",
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|                 "    )\n",
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|                 "]\n",
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|                 "chat(messages)"
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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": null,
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|             "id": "c253883f",
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|             "metadata": {},
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|             "outputs": [],
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|             "source": []
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|         }
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|     ],
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|     "metadata": {
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|         "kernelspec": {
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|             "display_name": "Python 3 (ipykernel)",
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|             "language": "python",
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|             "name": "python3"
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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": "3.11.4"
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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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