changes to llm chain (#6328)

- return raw and full output (but keep run shortcut method functional)
- change output parser to take in generations (good for working with
messages)
- add output parser to base class, always run (default to same as
current)

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
This commit is contained in:
Harrison Chase
2023-06-18 22:49:47 -07:00
committed by GitHub
parent d3c2eab0b3
commit 6a4a950a3c
16 changed files with 704 additions and 298 deletions

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@@ -17,7 +17,16 @@
"execution_count": 1,
"id": "34f04daf",
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/harrisonchase/.pyenv/versions/3.9.1/envs/langchain/lib/python3.9/site-packages/deeplake/util/check_latest_version.py:32: UserWarning: A newer version of deeplake (3.6.4) is available. It's recommended that you update to the latest version using `pip install -U deeplake`.\n",
" warnings.warn(\n"
]
}
],
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.chains import create_extraction_chain, create_extraction_chain_pydantic\n",
@@ -71,7 +80,7 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": 4,
"id": "640bd005",
"metadata": {},
"outputs": [],
@@ -84,7 +93,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": 5,
"id": "64313214",
"metadata": {},
"outputs": [],
@@ -102,7 +111,7 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": 6,
"id": "cc5436ed",
"metadata": {},
"outputs": [
@@ -119,7 +128,7 @@
" 'person_hair_color': 'brunette'}]"
]
},
"execution_count": 8,
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -150,7 +159,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": 7,
"id": "6792866b",
"metadata": {},
"outputs": [],
@@ -161,7 +170,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 8,
"id": "36a63761",
"metadata": {},
"outputs": [],
@@ -176,7 +185,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 9,
"id": "8ffd1e57",
"metadata": {},
"outputs": [],
@@ -186,7 +195,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 10,
"id": "24baa954",
"metadata": {
"scrolled": false
@@ -220,7 +229,7 @@
" Properties(person_name='Claudia', person_height=6, person_hair_color='brunette', dog_breed=None, dog_name=None)]"
]
},
"execution_count": 13,
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -228,13 +237,21 @@
"source": [
"chain.run(inp)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0df61283",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "general",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "general"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -246,7 +263,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.9.1"
}
},
"nbformat": 4,

View File

@@ -0,0 +1,181 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "9b5c258f",
"metadata": {},
"source": [
"# Question-Answering Citations\n",
"\n",
"This notebook shows how to use OpenAI functions ability to extract citations from text."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "eae4ca3e",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/harrisonchase/.pyenv/versions/3.9.1/envs/langchain/lib/python3.9/site-packages/deeplake/util/check_latest_version.py:32: UserWarning: A newer version of deeplake (3.6.4) is available. It's recommended that you update to the latest version using `pip install -U deeplake`.\n",
" warnings.warn(\n"
]
}
],
"source": [
"from langchain.chains import create_citation_fuzzy_match_chain\n",
"from langchain.chat_models import ChatOpenAI"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "2c6e62ee",
"metadata": {},
"outputs": [],
"source": [
"question = \"What did the author do during college?\"\n",
"context = \"\"\"\n",
"My name is Jason Liu, and I grew up in Toronto Canada but I was born in China.\n",
"I went to an arts highschool but in university I studied Computational Mathematics and physics. \n",
"As part of coop I worked at many companies including Stitchfix, Facebook.\n",
"I also started the Data Science club at the University of Waterloo and I was the president of the club for 2 years.\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "078e0300",
"metadata": {},
"outputs": [],
"source": [
"llm = ChatOpenAI(temperature=0, model=\"gpt-3.5-turbo-0613\")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "02cad6d0",
"metadata": {},
"outputs": [],
"source": [
"chain = create_citation_fuzzy_match_chain(llm)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "e3c6e7ba",
"metadata": {},
"outputs": [],
"source": [
"result = chain.run(question=question, context=context)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "6f7615f2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"question='What did the author do during college?' answer=[FactWithEvidence(fact='The author studied Computational Mathematics and physics in university.', substring_quote=['in university I studied Computational Mathematics and physics']), FactWithEvidence(fact='The author started the Data Science club at the University of Waterloo.', substring_quote=['I also started the Data Science club at the University of Waterloo']), FactWithEvidence(fact='The author was the president of the Data Science club for 2 years.', substring_quote=['I was the president of the club for 2 years'])]\n"
]
}
],
"source": [
"print(result)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "3be6f366",
"metadata": {},
"outputs": [],
"source": [
"def highlight(text, span):\n",
" return (\n",
" \"...\"\n",
" + text[span[0] - 20 : span[0]]\n",
" + \"*\"\n",
" + \"\\033[91m\"\n",
" + text[span[0] : span[1]]\n",
" + \"\\033[0m\"\n",
" + \"*\"\n",
" + text[span[1] : span[1] + 20]\n",
" + \"...\"\n",
" )"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "636c4528",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Statement: The author studied Computational Mathematics and physics in university.\n",
"Citation: ...arts highschool but *\u001b[91min university I studied Computational Mathematics and physics\u001b[0m*. \n",
"As part of coop I...\n",
"\n",
"Statement: The author started the Data Science club at the University of Waterloo.\n",
"Citation: ...titchfix, Facebook.\n",
"*\u001b[91mI also started the Data Science club at the University of Waterloo\u001b[0m* and I was the presi...\n",
"\n",
"Statement: The author was the president of the Data Science club for 2 years.\n",
"Citation: ...ity of Waterloo and *\u001b[91mI was the president of the club for 2 years\u001b[0m*.\n",
"...\n",
"\n"
]
}
],
"source": [
"for fact in result.answer:\n",
" print(\"Statement:\", fact.fact)\n",
" for span in fact.get_spans(context):\n",
" print(\"Citation:\", highlight(context, span))\n",
" print()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8409cab0",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.9.1"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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@@ -17,7 +17,16 @@
"execution_count": 1,
"id": "bafb496a",
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/harrisonchase/.pyenv/versions/3.9.1/envs/langchain/lib/python3.9/site-packages/deeplake/util/check_latest_version.py:32: UserWarning: A newer version of deeplake (3.6.4) is available. It's recommended that you update to the latest version using `pip install -U deeplake`.\n",
" warnings.warn(\n"
]
}
],
"source": [
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.chains import create_tagging_chain, create_tagging_chain_pydantic\n",
@@ -52,7 +61,7 @@
},
{
"cell_type": "code",
"execution_count": 4,
"execution_count": 3,
"id": "8329f943",
"metadata": {},
"outputs": [],
@@ -68,7 +77,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": 4,
"id": "6146ae70",
"metadata": {},
"outputs": [],
@@ -88,7 +97,7 @@
},
{
"cell_type": "code",
"execution_count": 59,
"execution_count": 5,
"id": "5509b6a6",
"metadata": {},
"outputs": [
@@ -98,7 +107,7 @@
"{'sentiment': 'positive', 'language': 'Spanish'}"
]
},
"execution_count": 59,
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -110,17 +119,17 @@
},
{
"cell_type": "code",
"execution_count": 60,
"execution_count": 6,
"id": "9154474c",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'sentiment': 'enojado', 'aggressiveness': 1, 'language': 'Spanish'}"
"{'sentiment': 'enojado', 'aggressiveness': 1, 'language': 'es'}"
]
},
"execution_count": 60,
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -132,7 +141,7 @@
},
{
"cell_type": "code",
"execution_count": 61,
"execution_count": 7,
"id": "aae85b27",
"metadata": {},
"outputs": [
@@ -142,7 +151,7 @@
"{'sentiment': 'positive', 'aggressiveness': 0, 'language': 'English'}"
]
},
"execution_count": 61,
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -176,7 +185,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 8,
"id": "6a5f7961",
"metadata": {},
"outputs": [],
@@ -200,7 +209,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 9,
"id": "e5a5881f",
"metadata": {},
"outputs": [],
@@ -218,7 +227,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 10,
"id": "d9b9d53d",
"metadata": {},
"outputs": [
@@ -228,7 +237,7 @@
"{'sentiment': 'happy', 'aggressiveness': 0, 'language': 'spanish'}"
]
},
"execution_count": 13,
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
@@ -240,7 +249,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 11,
"id": "1c12fa00",
"metadata": {},
"outputs": [
@@ -250,7 +259,7 @@
"{'sentiment': 'sad', 'aggressiveness': 10, 'language': 'spanish'}"
]
},
"execution_count": 14,
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -262,7 +271,7 @@
},
{
"cell_type": "code",
"execution_count": 15,
"execution_count": 12,
"id": "0bdfcb05",
"metadata": {},
"outputs": [
@@ -272,7 +281,7 @@
"{'sentiment': 'neutral', 'aggressiveness': 0, 'language': 'english'}"
]
},
"execution_count": 15,
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -304,7 +313,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 13,
"id": "bf1f367e",
"metadata": {},
"outputs": [],
@@ -315,7 +324,7 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 14,
"id": "83a2e826",
"metadata": {},
"outputs": [],
@@ -334,7 +343,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 15,
"id": "6e404892",
"metadata": {},
"outputs": [],
@@ -344,7 +353,7 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 16,
"id": "b5fc43c4",
"metadata": {},
"outputs": [],
@@ -355,7 +364,7 @@
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 17,
"id": "5074bcc3",
"metadata": {},
"outputs": [
@@ -365,7 +374,7 @@
"Tags(sentiment='sad', aggressiveness=10, language='spanish')"
]
},
"execution_count": 26,
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
@@ -377,9 +386,9 @@
],
"metadata": {
"kernelspec": {
"display_name": "general",
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "general"
"name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -391,7 +400,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.9.1"
}
},
"nbformat": 4,