mirror of
https://github.com/hwchase17/langchain
synced 2024-10-31 15:20:26 +00:00
89 lines
2.0 KiB
Plaintext
89 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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"metadata": {
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"id": "FPF4vhdZyJ7S"
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},
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"source": [
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"# KoboldAI API\n",
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"\n",
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"[KoboldAI](https://github.com/KoboldAI/KoboldAI-Client) is a \"a browser-based front-end for AI-assisted writing with multiple local & remote AI models...\". It has a public and local API that is able to be used in langchain.\n",
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"\n",
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"This example goes over how to use LangChain with that API.\n",
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"\n",
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"Documentation can be found in the browser adding /api to the end of your endpoint (i.e http://127.0.0.1/:5000/api).\n"
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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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"metadata": {
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"id": "lyzOsRRTf_Vr"
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},
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"outputs": [],
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"source": [
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"from langchain.llms import KoboldApiLLM"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "1a_H7mvfy51O"
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},
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"source": [
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"Replace the endpoint seen below with the one shown in the output after starting the webui with --api or --public-api\n",
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"\n",
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"Optionally, you can pass in parameters like temperature or max_length"
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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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"metadata": {
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"id": "g3vGebq8f_Vr"
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},
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"outputs": [],
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"source": [
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"llm = KoboldApiLLM(endpoint=\"http://192.168.1.144:5000\", max_length=80)"
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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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"metadata": {
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"id": "sPxNGGiDf_Vr",
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"outputId": "024a1d62-3cd7-49a8-c6a8-5278224d02ef"
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},
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"outputs": [],
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"source": [
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"response = llm(\"### Instruction:\\nWhat is the first book of the bible?\\n### Response:\")"
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]
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}
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],
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"display_name": "venv",
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"language": "python",
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"name": "venv"
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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": "3.11.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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