mirror of
https://github.com/hwchase17/langchain
synced 2024-10-29 17:07:25 +00:00
8a95fdaee1
Fix all the example in the docs when init `Tool` Test by render with jupyter
159 lines
3.7 KiB
Plaintext
159 lines
3.7 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"id": "dc23c48e",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Google Serper API\n",
|
|
"\n",
|
|
"This notebook goes over how to use the Google Serper component to search the web. First you need to sign up for a free account at [serper.dev](https://serper.dev) and get your api key."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"outputs": [],
|
|
"source": [
|
|
"import os\n",
|
|
"os.environ[\"SERPER_API_KEY\"] = \"\""
|
|
],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 2,
|
|
"id": "54bf5afd",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from langchain.utilities import GoogleSerperAPIWrapper"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 3,
|
|
"id": "31f8f382",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"search = GoogleSerperAPIWrapper()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"id": "25ce0225",
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "'Barack Hussein Obama II'"
|
|
},
|
|
"execution_count": 4,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"search.run(\"Obama's first name?\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"source": [
|
|
"## As part of a Self Ask With Search Chain"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"outputs": [],
|
|
"source": [
|
|
"os.environ['OPENAI_API_KEY'] = \"\""
|
|
],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"\n",
|
|
"\n",
|
|
"\u001B[1m> Entering new AgentExecutor chain...\u001B[0m\n",
|
|
"\u001B[32;1m\u001B[1;3m Yes.\n",
|
|
"Follow up: Who is the reigning men's U.S. Open champion?\u001B[0m\n",
|
|
"Intermediate answer: \u001B[36;1m\u001B[1;3mCurrent champions Carlos Alcaraz, 2022 men's singles champion.\u001B[0m\n",
|
|
"\u001B[32;1m\u001B[1;3mFollow up: Where is Carlos Alcaraz from?\u001B[0m\n",
|
|
"Intermediate answer: \u001B[36;1m\u001B[1;3mEl Palmar, Spain\u001B[0m\n",
|
|
"\u001B[32;1m\u001B[1;3mSo the final answer is: El Palmar, Spain\u001B[0m\n",
|
|
"\n",
|
|
"\u001B[1m> Finished chain.\u001B[0m\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": "'El Palmar, Spain'"
|
|
},
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"from langchain.utilities import GoogleSerperAPIWrapper\n",
|
|
"from langchain.llms.openai import OpenAI\n",
|
|
"from langchain.agents import initialize_agent, Tool\n",
|
|
"\n",
|
|
"llm = OpenAI(temperature=0)\n",
|
|
"search = GoogleSerperAPIWrapper()\n",
|
|
"tools = [\n",
|
|
" Tool(\n",
|
|
" name=\"Intermediate Answer\",\n",
|
|
" func=search.run,\n",
|
|
" description=\"useful for when you need to ask with search\"\n",
|
|
" )\n",
|
|
"]\n",
|
|
"\n",
|
|
"self_ask_with_search = initialize_agent(tools, llm, agent=\"self-ask-with-search\", verbose=True)\n",
|
|
"self_ask_with_search.run(\"What is the hometown of the reigning men's U.S. Open champion?\")"
|
|
],
|
|
"metadata": {
|
|
"collapsed": false
|
|
}
|
|
}
|
|
],
|
|
"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": "3.10.9"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|