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135 lines
2.6 KiB
Plaintext
135 lines
2.6 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "07311335",
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"metadata": {},
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"source": [
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"# Datetime\n",
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"\n",
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"This OutputParser shows out to parse LLM output into datetime format."
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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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"id": "77e49a3d",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.prompts import PromptTemplate\n",
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"from langchain.output_parsers import DatetimeOutputParser\n",
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"from langchain.chains import LLMChain\n",
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"from langchain.llms import OpenAI"
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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": "ace93488",
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"metadata": {},
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"outputs": [],
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"source": [
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"output_parser = DatetimeOutputParser()\n",
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"template = \"\"\"Answer the users question:\n",
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"\n",
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"{question}\n",
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"\n",
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"{format_instructions}\"\"\"\n",
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"prompt = PromptTemplate.from_template(template, partial_variables={\"format_instructions\": output_parser.get_format_instructions()})"
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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": 3,
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"id": "9240a3ae",
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"metadata": {},
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"outputs": [],
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"source": [
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"chain = LLMChain(prompt=prompt, llm=OpenAI())"
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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": "ad62eacc",
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"metadata": {},
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"outputs": [],
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"source": [
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"output = chain.run(\"around when was bitcoin founded?\")"
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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": 6,
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"id": "96657765",
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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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"'\\n\\n2008-01-03T18:15:05.000000Z'"
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]
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},
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"execution_count": 6,
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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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"output"
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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": "bf714e52",
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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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"datetime.datetime(2008, 1, 3, 18, 15, 5)"
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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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"output_parser.parse(output)"
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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": "a56112b1",
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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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