forked from Archives/langchain
95 lines
2.0 KiB
Plaintext
95 lines
2.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "38f26d7a",
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"metadata": {},
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"source": [
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"# Azure\n",
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"\n",
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"This notebook goes over how to connect to an Azure hosted OpenAI endpoint"
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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": "96164b42",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.chat_models import AzureChatOpenAI\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": 4,
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"id": "8161278f",
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"metadata": {},
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"outputs": [],
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"source": [
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"BASE_URL = \"https://${TODO}.openai.azure.com\"\n",
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"API_KEY = \"...\"\n",
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"DEPLOYMENT_NAME = \"chat\"\n",
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"model = AzureChatOpenAI(\n",
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" openai_api_base=BASE_URL,\n",
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" openai_api_version=\"2023-03-15-preview\",\n",
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" deployment_name=DEPLOYMENT_NAME,\n",
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" openai_api_key=API_KEY,\n",
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" openai_api_type = \"azure\",\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": 5,
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"id": "99509140",
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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=\"\\n\\nJ'aime programmer.\", additional_kwargs={})"
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]
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},
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"execution_count": 5,
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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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"model([HumanMessage(content=\"Translate this sentence from English to French. I love programming.\")])"
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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": "3b6e9376",
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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": "3.9.1"
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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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