|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "code", |
| 5 | + "execution_count": 1, |
| 6 | + "metadata": {}, |
| 7 | + "outputs": [ |
| 8 | + { |
| 9 | + "data": { |
| 10 | + "text/plain": [ |
| 11 | + "<OpenAIObject text_completion id=cmpl-ad3ba53d-407c-466b-bd5f-97cb8987af83 at 0x7f6adc12d900> JSON: {\n", |
| 12 | + " \"choices\": [\n", |
| 13 | + " {\n", |
| 14 | + " \"finish_reason\": \"length\",\n", |
| 15 | + " \"index\": 0,\n", |
| 16 | + " \"logprobs\": null,\n", |
| 17 | + " \"text\": \" over the lazy dog.\"\n", |
| 18 | + " }\n", |
| 19 | + " ],\n", |
| 20 | + " \"created\": 1680960690,\n", |
| 21 | + " \"id\": \"cmpl-ad3ba53d-407c-466b-bd5f-97cb8987af83\",\n", |
| 22 | + " \"model\": \"models/ggml-alpaca.bin\",\n", |
| 23 | + " \"object\": \"text_completion\",\n", |
| 24 | + " \"usage\": {\n", |
| 25 | + " \"completion_tokens\": 5,\n", |
| 26 | + " \"prompt_tokens\": 8,\n", |
| 27 | + " \"total_tokens\": 13\n", |
| 28 | + " }\n", |
| 29 | + "}" |
| 30 | + ] |
| 31 | + }, |
| 32 | + "execution_count": 1, |
| 33 | + "metadata": {}, |
| 34 | + "output_type": "execute_result" |
| 35 | + } |
| 36 | + ], |
| 37 | + "source": [ |
| 38 | + "import openai\n", |
| 39 | + "\n", |
| 40 | + "openai.api_key = \"sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\" # can be anything\n", |
| 41 | + "openai.api_base = \"http://100.64.159.73:8000/v1\"\n", |
| 42 | + "\n", |
| 43 | + "openai.Completion.create(\n", |
| 44 | + " model=\"text-davinci-003\", # currently can be anything\n", |
| 45 | + " prompt=\"The quick brown fox jumps\",\n", |
| 46 | + " max_tokens=5,\n", |
| 47 | + ")" |
| 48 | + ] |
| 49 | + }, |
| 50 | + { |
| 51 | + "cell_type": "code", |
| 52 | + "execution_count": 2, |
| 53 | + "metadata": {}, |
| 54 | + "outputs": [ |
| 55 | + { |
| 56 | + "data": { |
| 57 | + "text/plain": [ |
| 58 | + "' over the lazy dog'" |
| 59 | + ] |
| 60 | + }, |
| 61 | + "execution_count": 2, |
| 62 | + "metadata": {}, |
| 63 | + "output_type": "execute_result" |
| 64 | + } |
| 65 | + ], |
| 66 | + "source": [ |
| 67 | + "import os\n", |
| 68 | + "\n", |
| 69 | + "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\" # can be anything\n", |
| 70 | + "os.environ[\"OPENAI_API_BASE\"] = \"http://100.64.159.73:8000/v1\"\n", |
| 71 | + "\n", |
| 72 | + "from langchain.llms import OpenAI\n", |
| 73 | + "\n", |
| 74 | + "llms = OpenAI()\n", |
| 75 | + "llms(\n", |
| 76 | + " prompt=\"The quick brown fox jumps\",\n", |
| 77 | + " stop=[\".\", \"\\n\"],\n", |
| 78 | + ")" |
| 79 | + ] |
| 80 | + } |
| 81 | + ], |
| 82 | + "metadata": { |
| 83 | + "kernelspec": { |
| 84 | + "display_name": ".venv", |
| 85 | + "language": "python", |
| 86 | + "name": "python3" |
| 87 | + }, |
| 88 | + "language_info": { |
| 89 | + "codemirror_mode": { |
| 90 | + "name": "ipython", |
| 91 | + "version": 3 |
| 92 | + }, |
| 93 | + "file_extension": ".py", |
| 94 | + "mimetype": "text/x-python", |
| 95 | + "name": "python", |
| 96 | + "nbconvert_exporter": "python", |
| 97 | + "pygments_lexer": "ipython3", |
| 98 | + "version": "3.8.10" |
| 99 | + }, |
| 100 | + "orig_nbformat": 4 |
| 101 | + }, |
| 102 | + "nbformat": 4, |
| 103 | + "nbformat_minor": 2 |
| 104 | +} |
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