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回退OpenAI版本，解决chat error报错 #5

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回退OpenAI版本，解决chat error报错 #5

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69 changes: 35 additions & 34 deletions 01_Hello_Langchain/Hello_Langchain.ipynb
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Original file line number Diff line number Diff line change
@@ -1,26 +1,10 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyPlnXQSa14sK6jqVM6IBQr7",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
"colab_type": "text",
"id": "view-in-github"
},
"source": [
"<a href=\"https://colab.research.google.com/github/sugarforever/wtf-langchain/blob/main/01_Hello_Langchain/Hello_Langchain.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
Expand All @@ -34,39 +18,56 @@
},
"outputs": [],
"source": [
"!pip install langchain==0.0.235 openai"
"# openai 新版本后会报一个chat error错误，需要安装旧版本\n",
"!pip install langchain==0.0.235 openai==0.28.1"
]
},
{
"cell_type": "code",
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.schema import HumanMessage\n",
"\n",
"import os\n",
"os.environ['OPENAI_API_KEY'] = '您的有效OpenAI API Key'\n",
"\n",
"chat = ChatOpenAI(temperature=0)\n",
"response = chat([ HumanMessage(content=\"Hello Langchain!\") ])\n",
"print(response)"
],
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "7t2nQzTEGXy1",
"outputId": "f0f35ba0-48e2-439c-f754-2862884ad049"
},
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"output_type": "stream",
"text": [
"content='Hello! How can I assist you today?' additional_kwargs={} example=False\n"
]
}
],
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.schema import HumanMessage\n",
"\n",
"import os\n",
"os.environ['OPENAI_API_KEY'] = '您的有效OpenAI API Key'\n",
"\n",
"chat = ChatOpenAI(temperature=0)\n",
"response = chat([ HumanMessage(content=\"Hello Langchain!\") ])\n",
"print(response)"
]
}
]
}
],
"metadata": {
"colab": {
"authorship_tag": "ABX9TyPlnXQSa14sK6jqVM6IBQr7",
"include_colab_link": true,
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}