llama.cpp/examples/notebooks/Clients.ipynb
2023-04-08 09:35:32 -04:00

105 lines
2.5 KiB
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<OpenAIObject text_completion id=cmpl-ad3ba53d-407c-466b-bd5f-97cb8987af83 at 0x7f6adc12d900> JSON: {\n",
" \"choices\": [\n",
" {\n",
" \"finish_reason\": \"length\",\n",
" \"index\": 0,\n",
" \"logprobs\": null,\n",
" \"text\": \" over the lazy dog.\"\n",
" }\n",
" ],\n",
" \"created\": 1680960690,\n",
" \"id\": \"cmpl-ad3ba53d-407c-466b-bd5f-97cb8987af83\",\n",
" \"model\": \"models/ggml-alpaca.bin\",\n",
" \"object\": \"text_completion\",\n",
" \"usage\": {\n",
" \"completion_tokens\": 5,\n",
" \"prompt_tokens\": 8,\n",
" \"total_tokens\": 13\n",
" }\n",
"}"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import openai\n",
"\n",
"openai.api_key = \"sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\" # can be anything\n",
"openai.api_base = \"http://100.64.159.73:8000/v1\"\n",
"\n",
"openai.Completion.create(\n",
" model=\"text-davinci-003\", # currently can be anything\n",
" prompt=\"The quick brown fox jumps\",\n",
" max_tokens=5,\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"' over the lazy dog'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import os\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = \"sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\" # can be anything\n",
"os.environ[\"OPENAI_API_BASE\"] = \"http://100.64.159.73:8000/v1\"\n",
"\n",
"from langchain.llms import OpenAI\n",
"\n",
"llms = OpenAI()\n",
"llms(\n",
" prompt=\"The quick brown fox jumps\",\n",
" stop=[\".\", \"\\n\"],\n",
")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}