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127 lines
3.4 KiB
Plaintext
127 lines
3.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "raw",
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"id": "b4154fbe",
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"metadata": {},
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"source": [
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"---\n",
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"sidebar_label: YandexGPT\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"id": "af63c9db-e4bd-4d3b-a4d7-7927f5541734",
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"metadata": {},
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"source": [
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"# ChatYandexGPT\n",
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"\n",
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"This notebook goes over how to use Langchain with [YandexGPT](https://cloud.yandex.com/en/services/yandexgpt) chat model.\n",
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"\n",
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"To use, you should have the `yandexcloud` python package installed."
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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": "f3a8f9cb-ff03-4fb8-8185-ff19f2b8fc89",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install --upgrade --quiet yandexcloud"
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]
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},
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{
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"cell_type": "markdown",
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"id": "95fa21fb-3669-43fb-bb92-91de7bc591bc",
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"metadata": {},
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"source": [
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"First, you should [create service account](https://cloud.yandex.com/en/docs/iam/operations/sa/create) with the `ai.languageModels.user` role.\n",
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"\n",
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"Next, you have two authentication options:\n",
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"- [IAM token](https://cloud.yandex.com/en/docs/iam/operations/iam-token/create-for-sa).\n",
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" You can specify the token in a constructor parameter `iam_token` or in an environment variable `YC_IAM_TOKEN`.\n",
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"\n",
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"- [API key](https://cloud.yandex.com/en/docs/iam/operations/api-key/create)\n",
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" You can specify the key in a constructor parameter `api_key` or in an environment variable `YC_API_KEY`.\n",
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"\n",
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"To specify the model you can use `model_uri` parameter, see [the documentation](https://cloud.yandex.com/en/docs/yandexgpt/concepts/models#yandexgpt-generation) for more details.\n",
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"\n",
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"By default, the latest version of `yandexgpt-lite` is used from the folder specified in the parameter `folder_id` or `YC_FOLDER_ID` environment variable."
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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": "eba2d63b-f871-4f61-b55f-f6092bdc297a",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.schema import HumanMessage, SystemMessage\n",
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"from langchain_community.chat_models import ChatYandexGPT"
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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": "75905d9a-dfae-43aa-95b9-a160280e43f7",
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"metadata": {},
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"outputs": [],
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"source": [
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"chat_model = ChatYandexGPT()"
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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": "40844fe7-7fe5-4679-b6c9-1b3238807bdc",
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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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"AIMessage(content='Je adore le programmement.')"
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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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"answer = chat_model(\n",
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" [\n",
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" SystemMessage(\n",
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" content=\"You are a helpful assistant that translates English to French.\"\n",
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" ),\n",
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" HumanMessage(content=\"I love programming.\"),\n",
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" ]\n",
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")\n",
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"answer"
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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": "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": "3.10.13"
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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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