mirror of
https://github.com/hwchase17/langchain
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125 lines
2.5 KiB
Plaintext
125 lines
2.5 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "245a954a",
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"metadata": {},
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"source": [
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"# Wolfram Alpha\n",
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"\n",
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"This notebook goes over how to use the wolfram alpha component.\n",
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"\n",
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"First, you need to set up your Wolfram Alpha developer account and get your APP ID:\n",
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"\n",
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"1. Go to wolfram alpha and sign up for a developer account [here](https://developer.wolframalpha.com/)\n",
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"2. Create an app and get your APP ID\n",
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"3. pip install wolframalpha\n",
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"\n",
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"Then we will need to set some environment variables:\n",
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"1. Save your APP ID into WOLFRAM_ALPHA_APPID env variable"
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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": "961b3689",
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"metadata": {
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"vscode": {
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"languageId": "shellscript"
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}
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},
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"outputs": [],
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"source": [
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"pip install wolframalpha"
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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": "34bb5968",
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"os.environ[\"WOLFRAM_ALPHA_APPID\"] = \"\"\n"
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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": 9,
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"id": "ac4910f8",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.utilities.wolfram_alpha import WolframAlphaAPIWrapper"
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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": 10,
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"id": "84b8f773",
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"metadata": {},
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"outputs": [],
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"source": [
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"wolfram = WolframAlphaAPIWrapper()"
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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": 11,
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"id": "068991a6",
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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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"'x = 2/5'"
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]
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},
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"execution_count": 11,
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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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"wolfram.run(\"What is 2x+5 = -3x + 7?\")"
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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": "028f4cba",
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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": ".venv",
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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": "3.9.7"
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},
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"vscode": {
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"interpreter": {
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"hash": "53f3bc57609c7a84333bb558594977aa5b4026b1d6070b93987956689e367341"
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}
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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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