mirror of
https://github.com/hwchase17/langchain.git
synced 2025-05-15 03:57:19 +00:00
7bc100fd43
More than 300 files - will fail check_diff. Will merge after Vercel deploy succeeds Still occurrences that need changing - will update more later
114 lines
2.4 KiB
Plaintext
114 lines
2.4 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"source": [
|
|
"# GigaChat\n",
|
|
"This notebook shows how to use LangChain with [GigaChat](https://developers.sber.ru/portal/products/gigachat).\n",
|
|
"To use you need to install ```gigachat``` python package."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"%pip install --upgrade --quiet gigachat"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"source": [
|
|
"To get GigaChat credentials you need to [create account](https://developers.sber.ru/studio/login) and [get access to API](https://developers.sber.ru/docs/ru/gigachat/api/integration)\n",
|
|
"## Example"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 1,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"import os\n",
|
|
"from getpass import getpass\n",
|
|
"\n",
|
|
"os.environ[\"GIGACHAT_CREDENTIALS\"] = getpass()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"from langchain_community.llms import GigaChat\n",
|
|
"\n",
|
|
"llm = GigaChat(verify_ssl_certs=False)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"metadata": {
|
|
"collapsed": false
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"The capital of Russia is Moscow.\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"from langchain.chains import LLMChain\n",
|
|
"from langchain.prompts import PromptTemplate\n",
|
|
"\n",
|
|
"template = \"What is capital of {country}?\"\n",
|
|
"\n",
|
|
"prompt = PromptTemplate(template=template, input_variables=[\"country\"])\n",
|
|
"\n",
|
|
"llm_chain = LLMChain(prompt=prompt, llm=llm)\n",
|
|
"\n",
|
|
"generated = llm_chain.run(country=\"Russia\")\n",
|
|
"print(generated)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 2
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython2",
|
|
"version": "2.7.6"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
}
|