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langchain[minor]: Add serpapi tools (#13934)

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- **Description:** Added some of the more endpoints supported by serpapi
that are not suported on langchain at the moment, like google trends,
google finance, google jobs, and google lens
- **Issue:** [Add support for many of the querying endpoints with
serpapi #11811](https://github.com/langchain-ai/langchain/issues/11811)

---------

Co-authored-by: zushenglu <58179949+zushenglu@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
Co-authored-by: Ian Xu <ian.xu@mail.utoronto.ca>
Co-authored-by: zushenglu <zushenglu1809@gmail.com>
Co-authored-by: KevinT928 <96837880+KevinT928@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
This commit is contained in:
Jawad Arshad
2023-11-29 17:02:57 -05:00
committed by GitHub
parent dbaeb163aa
commit 00a6e8962c
19 changed files with 1662 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

112
docs/docs/integrations/tools/google_finance.ipynb Normal file
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Google Finance\n",
"\n",
"This notebook goes over how to use the Google Finance Tool to get information from the Google Finance page\n",
"\n",
"To get an SerpApi key key, sign up at: https://serpapi.com/users/sign_up.\n",
"\n",
"Then install google-search-results with the command: \n",
"\n",
"pip install google-search-results\n",
"\n",
"Then set the environment variable SERPAPI_API_KEY to your SerpApi key\n",
"\n",
"Or pass the key in as a argument to the wrapper serp_api_key=\"your secret key\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Use the Tool"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!pip install google-search-results"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"from langchain.tools.google_finance import GoogleFinanceQueryRun\n",
"from langchain.utilities.google_finance import GoogleFinanceAPIWrapper\n",
"\n",
"os.environ[\"SERPAPI_API_KEY\"] = \"\"\n",
"tool = GoogleFinanceQueryRun(api_wrapper=GoogleFinanceAPIWrapper())"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"tool.run(\"Google\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Using it with Langchain"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"from langchain.agents import AgentType, initialize_agent, load_tools\n",
"from langchain.llms import OpenAI\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = \"\"\n",
"os.environ[\"SERP_API_KEY\"] = \"\"\n",
"llm = OpenAI()\n",
"tools = load_tools([\"google-scholar\", \"google-finance\"], llm=llm)\n",
"agent = initialize_agent(\n",
" tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
")\n",
"agent.run(\"what is google's stock\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.9.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Google Trends\n",
"\n",
"This notebook goes over how to use the Google Trends Tool to fetch trends information.\n",
"\n",
"First, you need to sign up for an `SerpApi key` key at: https://serpapi.com/users/sign_up.\n",
"\n",
"Then you must install `google-search-results` with the command:\n",
"\n",
"`pip install google-search-results`\n",
"\n",
"Then you will need to set the environment variable `SERPAPI_API_KEY` to your `SerpApi key`\n",
"\n",
"[Alternatively you can pass the key in as a argument to the wrapper `serp_api_key=\"your secret key\"`]\n",
"\n",
"## Use the Tool"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: google-search-results in c:\\python311\\lib\\site-packages (2.4.2)\n",
"Requirement already satisfied: requests in c:\\python311\\lib\\site-packages (from google-search-results) (2.31.0)\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in c:\\python311\\lib\\site-packages (from requests->google-search-results) (3.3.2)\n",
"Requirement already satisfied: idna<4,>=2.5 in c:\\python311\\lib\\site-packages (from requests->google-search-results) (3.4)\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in c:\\python311\\lib\\site-packages (from requests->google-search-results) (2.1.0)\n",
"Requirement already satisfied: certifi>=2017.4.17 in c:\\python311\\lib\\site-packages (from requests->google-search-results) (2023.7.22)\n"
]
}
],
"source": [
"!pip install google-search-results"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"\n",
"from langchain.tools.google_trends import GoogleTrendsQueryRun\n",
"from langchain.utilities.google_trends import GoogleTrendsAPIWrapper\n",
"\n",
"os.environ[\"SERPAPI_API_KEY\"] = \"\"\n",
"tool = GoogleTrendsQueryRun(api_wrapper=GoogleTrendsAPIWrapper())"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Query: Water\\nDate From: Nov 20, 2022\\nDate To: Nov 11, 2023\\nMin Value: 72\\nMax Value: 100\\nAverage Value: 84.25490196078431\\nPrecent Change: 5.555555555555555%\\nTrend values: 72, 72, 74, 77, 86, 80, 82, 88, 79, 79, 85, 82, 81, 84, 83, 77, 80, 85, 82, 80, 88, 84, 82, 84, 83, 85, 92, 92, 100, 92, 100, 96, 94, 95, 94, 98, 96, 84, 86, 84, 85, 83, 83, 76, 81, 85, 78, 77, 81, 75, 76\\nRising Related Queries: avatar way of water, avatar the way of water, owala water bottle, air up water bottle, lake mead water level\\nTop Related Queries: water park, water bottle, water heater, water filter, water tank, water bill, water world, avatar way of water, avatar the way of water, coconut water, deep water, water cycle, water dispenser, water purifier, water pollution, distilled water, hot water heater, water cooler, sparkling water, american water, micellar water, density of water, tankless water heater, tonic water, water jug'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"tool.run(\"Water\")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.9.16 ('langchain')",
"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": "3.11.4"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "15e58ce194949b77a891bd4339ce3d86a9bd138e905926019517993f97db9e6c"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}