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Rhyming.ipynb
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| { | |
| "nbformat": 4, | |
| "nbformat_minor": 0, | |
| "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": "3.7.4" | |
| }, | |
| "colab": { | |
| "name": "Rhyming.ipynb", | |
| "provenance": [], | |
| "collapsed_sections": [ | |
| "0sIXXvMKqI2l", | |
| "9UanLMk0qI2s", | |
| "IL6YtwUSqI2z", | |
| "9PaeJjbKqI24", | |
| "zCHDVorOqI2_", | |
| "LVVCXv77qI3Y", | |
| "IRxz1kT5qI3h", | |
| "o69GgdwFqI3m", | |
| "H7HOcsQ8qI33", | |
| "YF5wqVrEqI36" | |
| ], | |
| "include_colab_link": true | |
| } | |
| }, | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "view-in-github", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "<a href=\"https://colab.research.google.com/gist/brockmanmatt/19f1b7e48a699278f11c7b5c6e862ecf/rhyming.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "H9o5H4nxqI10", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "import openai, json, pandas as pd" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "ZoJiFIP_qI14", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# Wrapper to hold my arguments and stuff" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "fG3OSX-qqI15", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "class poemWrapper:\n", | |
| " \n", | |
| " def __init__(self, *args, key = \"\", oldWrapper:poemWrapper=None,**kwargs):\n", | |
| " \"\"\"\n", | |
| " Not sure what I want this to do yet\n", | |
| " can pass a poemWrapper and take its key and kwargs so that way don't need to re-run to build\n", | |
| " \"\"\"\n", | |
| " if oldWrapper:\n", | |
| " self.kwargs = oldWrapper.kwargs\n", | |
| " return\n", | |
| "\n", | |
| " openai.api_key = key\n", | |
| " self.set_default_kwargs()\n", | |
| " \n", | |
| " \n", | |
| " def set_default_kwargs(self):\n", | |
| " self.kwargs = {\n", | |
| " \"engine\":\"davinci\",\n", | |
| " \"temperature\":0,\n", | |
| " \"max_tokens\":10,\n", | |
| " \"stop\":\"\\n\",\n", | |
| " }\n", | |
| "\n", | |
| " def set_new_kwargs(self, kwargs):\n", | |
| " \"\"\"\n", | |
| " set kwargs to kwargs\n", | |
| " \"\"\"\n", | |
| " self.kwargs = kwargs\n", | |
| "\n", | |
| " def set_single_kwarg(self, key, value):\n", | |
| " \"\"\"\n", | |
| " set single key word argument\n", | |
| " \"\"\"\n", | |
| " self.kwargs[key] = value\n", | |
| "\n", | |
| " def query(self, prompt):\n", | |
| " \"\"\"\n", | |
| " query API with prompt and current kwargs\n", | |
| " \"\"\"\n", | |
| " r = openai.Completion.create(prompt=prompt, **self.kwargs)\n", | |
| " self.last_request = prompt\n", | |
| " self.last_response = r\n", | |
| " return r\n", | |
| " " | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "SAYBRTouqI18", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "test = poemWrapper(key=json.load(open(\"../gpt3/key.json\", \"r\"))[\"key\"])" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "jGSRBclpqI1-", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "fdbce437-087c-490b-d5b5-45f7ff858ab6" | |
| }, | |
| "source": [ | |
| "test.query(\"q: what is the capital of france\\na:\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "<OpenAIObject text_completion id=cmpl-4lIsTF8SF5fYdWbjtHeKqDBY at 0x1141c5350> JSON: {\n", | |
| " \"choices\": [\n", | |
| " {\n", | |
| " \"finish_reason\": \"stop\",\n", | |
| " \"index\": 0,\n", | |
| " \"logprobs\": null,\n", | |
| " \"text\": \" paris\"\n", | |
| " }\n", | |
| " ],\n", | |
| " \"created\": 1594090653,\n", | |
| " \"id\": \"cmpl-4lIsTF8SF5fYdWbjtHeKqDBY\",\n", | |
| " \"model\": \"davinci:2020-05-03\",\n", | |
| " \"object\": \"text_completion\"\n", | |
| "}" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 29 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "8WlsPDetqI2C", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "test.set_single_kwarg(\"test\", \"test\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "4nn-lTSnqI2E", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "f5eef61b-641e-471c-bbe4-eda68d9ee807" | |
| }, | |
| "source": [ | |
| "test.kwargs" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "{'engine': 'davinci',\n", | |
| " 'temperature': 0,\n", | |
| " 'max_tokens': 10,\n", | |
| " 'stop': '\\n',\n", | |
| " 'test': 'test'}" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 35 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "Bje6GlATqI2H", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "test2=poemWrapper(oldWrapper=test)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "j-bIVD0uqI2K", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "55a89f6d-bbdd-4f99-bc91-57845020d6a2" | |
| }, | |
| "source": [ | |
| "test2.kwargs" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "{'engine': 'davinci',\n", | |
| " 'temperature': 0,\n", | |
| " 'max_tokens': 10,\n", | |
| " 'stop': '\\n',\n", | |
| " 'test': 'test'}" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 37 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "BiqC_6wDqI2M", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# Inherit myself, see if I can rhyme single words" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "LvCbXyXCqI2N", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "class poemWrapper(poemWrapper):\n", | |
| " \n", | |
| " def getRhymingWord(self, word):\n", | |
| " \"\"\"\n", | |
| " gets a word from the API that rhyms with word\n", | |
| " \"\"\"\n", | |
| "\n", | |
| " prompt=\"A word rhymes with a word if their endings sound the same. Words do not rhyme with themselves\\n\"\n", | |
| " prompt+=\"q: what is a word that rhymes with 'dog'\\n\"\n", | |
| " prompt+=\"a: smog\\n\\n\"\n", | |
| " prompt+=\"q: what is a word that rhymes with 'ham'\\n\"\n", | |
| " prompt+=\"a: spam\\n\\n\"\n", | |
| " prompt+=\"q: what is a word that rhymes with '{}'\\na:\".format(word) \n", | |
| " return self.query(prompt.strip())[\"choices\"][0][\"text\"].strip()\n" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "Fw0tBkXgqI2P", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "test = poemWrapper(key=json.load(open(\"../gpt3/key.json\", \"r\"))[\"key\"])" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "9zhgEvCOqI2R", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "8488d971-908a-4530-ec5b-ce5f39bc8004" | |
| }, | |
| "source": [ | |
| "test.getRhymingWord(\"small\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'tall'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 61 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "YuVV9GbBqI2U", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# Inherit myself, see if I can replace words in a sentence - THIS IS HARD" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "zcIgPE2CqI2V", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "class poemWrapper(poemWrapper):\n", | |
| " \n", | |
| " def rephraseToEndWithWord(self, sentence, word):\n", | |
| " \"\"\"\n", | |
| " rephrase a sentence to end with a word\n", | |
| " \"\"\"\n", | |
| " prompt=\"I want to rephrase each sentence to end with the new ending.\\n\"\n", | |
| " prompt+=\"Each sentence should be re-worded to generally have the same meaning but end with the new ending\\n\"\n", | |
| " \n", | |
| " prompt+=\"Sentence: I was at the store when I got the call\\n\"\n", | |
| " prompt+=\"New Ending: McDonalds\\n\"\n", | |
| " prompt+=\"Rephrased Sentence: I got the call when I was at McDonalds.\\n\\n\"\n", | |
| " \n", | |
| " prompt+=\"Sentence: playing with my daughter\\n\"\n", | |
| " prompt+=\"New Ending: kid\\n\"\n", | |
| " prompt+=\"Rephrased Sentence: playing with my kid.\\n\\n\"\n", | |
| "\n", | |
| " prompt+=\"Sentence: I tripped and fell into a puddle\\n\"\n", | |
| " prompt+=\"New Ending: fall\\n\"\n", | |
| " prompt+=\"Rephrased Sentence: I tripped and into a puddle took a fall.\\n\\n\"\n", | |
| " \n", | |
| " prompt+=\"Sentence: eating at the restaurant\\n\"\n", | |
| " prompt+=\"New Ending: dining\\n\"\n", | |
| " prompt+=\"Rephrased Sentence: at the restaurant dining.\\n\\n\"\n", | |
| "\n", | |
| " prompt+=\"Sentence: {}\\nNew Ending: {}\\nRephrased Sentence:\".format(sentence, word) \n", | |
| " return self.query(prompt.strip())[\"choices\"][0][\"text\"].strip()" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "IDQzVP6IqI2X", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "test = poemWrapper(key=json.load(open(\"../gpt3/key.json\", \"r\"))[\"key\"])" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "e2fYv1EnqI2a", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "c3a079ad-0873-4e41-a28b-eb6f35eb97c0" | |
| }, | |
| "source": [ | |
| "test.rephraseToEndWithWord(\"I want to go to sleep\", \"slumber\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'I want to go to slumber.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 294 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "AEJdUKgBqI2c", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "d93bb3ce-4206-41b2-9483-053508395413" | |
| }, | |
| "source": [ | |
| "test.rephraseToEndWithWord(\"I saw a scary goat\", \"animal\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'I saw a scary animal.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 295 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "7k7qzRdkqI2e", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "a73c9cdf-4252-4e59-f77f-b96e2e94f9b5" | |
| }, | |
| "source": [ | |
| "test.rephraseToEndWithWord(\"I saw a scary animal\", \"goat\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'I saw a scary goat.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 296 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "xayo7YxGqI2g", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "d64e12d7-8c60-4c6d-ef8f-c857e9e80080" | |
| }, | |
| "source": [ | |
| "test.rephraseToEndWithWord(\"rapping at my chamber door\", \"gate\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'rapping at my gate.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 297 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "uk_oCM_oqI2j", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "5fef17ec-a872-4918-bbe4-2a2ff79b0d44" | |
| }, | |
| "source": [ | |
| "test.rephraseToEndWithWord(\"I heard rapping at my chamber door\", \"tapping\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'I heard tapping at my chamber door.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 298 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "0sIXXvMKqI2l", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# This didn't work so leaving it in" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "wU8MQ3btqI2m", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "class poemWrapper(poemWrapper):\n", | |
| " \n", | |
| " def getRhymingWord(self, sentence, word):\n", | |
| " \"\"\"\n", | |
| " rephrase a sentence to end with a word\n", | |
| " So far, this doesn't work!\n", | |
| " Instead, I'll try to just get a bunch of words that are similar to the target, use search to find the most similar\n", | |
| " \"\"\"\n", | |
| " prompt=\"I want to know a rhyming word that is related to the sentence that rhymes with the target word\\n\"\n", | |
| " prompt+=\"Sentence: I went to the store\\n\"\n", | |
| " prompt+=\"Target Word: fly\\n\"\n", | |
| " prompt+=\"Rhyming Word: 'fly' rhymes with buy'\\n\\n\"\n", | |
| " \n", | |
| " prompt+=\"Sentence: I want a BLT\\n\"\n", | |
| " prompt+=\"Target Word: stitch\\n\"\n", | |
| " prompt+=\"Rhyming Word: 'stitch' rhymes with sandwhich\\n\\n\"\n", | |
| "\n", | |
| " prompt+=\"Sentence: I don't know what time it is\\n\"\n", | |
| " prompt+=\"Target Word: sour\\n\"\n", | |
| " prompt+=\"Rhyming Word: 'sour' rhymes with hour\\n\\n\"\n", | |
| " \n", | |
| " prompt+=\"Sentence: I tripped and fell\\n\"\n", | |
| " prompt+=\"Target Word: call\\n\"\n", | |
| " prompt+=\"Rhyming Word: 'call' rhymes with fall\\n\\n\"\n", | |
| " \n", | |
| " prompt+=\"Sentence: James went to the doctor\\n\"\n", | |
| " prompt+=\"Target Word: purse\\n\"\n", | |
| " prompt+=\"Rhyming Word: 'purse' rhymes with nurse\\n\\n\"\n", | |
| "\n", | |
| " prompt+=\"Sentence: {}\\nTarget Word: {}\\nRhyming Word:\".format(sentence, word) \n", | |
| " return self.query(prompt.strip())[\"choices\"][0][\"text\"].strip()" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "9hoG9ro0qI2o", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "test = poemWrapper(key=json.load(open(\"../gpt3/key.json\", \"r\"))[\"key\"])" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "cjjGWm9OqI2q", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "8077fbac-78bb-44a7-b525-b9007730c33c" | |
| }, | |
| "source": [ | |
| "test.getRhymingWord(\"I want to go to sleep\", \"cap\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "\"'cap' rhymes with sleep\"" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 91 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "9UanLMk0qI2s", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# I'll see if I can get a list of all the rhyming words it can think of, then later select the one that's closest to the target sentence" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "50HhRwC4qI2t", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "class poemWrapper(poemWrapper):\n", | |
| " \n", | |
| " def getManyRhymingWord(self, word):\n", | |
| " \"\"\"\n", | |
| " gets a word from the API that rhyms with word\n", | |
| " \"\"\"\n", | |
| "\n", | |
| " prompt=\"A word rhymes with a word if their endings sound the same. Words do not rhyme with themselves\\n\"\n", | |
| " prompt+=\"q: what are words that rhymes with 'dog'\\n\"\n", | |
| " prompt+=\"a: smog, cog, nog, blog, bog, fog, hog, jog, log, pog, sog\\n\\n\"\n", | |
| " prompt+=\"q: what is a word that rhymes with 'ham'\\n\"\n", | |
| " prompt+=\"a: spam, blam, am, cam, lamb, damn, fam, glam, gram, jam, nam, pam, spam, slam, scam, wham\\n\\n\" \n", | |
| " prompt+=\"q: what is a word that rhymes with 'oaf'\\n\"\n", | |
| " prompt+=\"a: loaf, goaf, oath, growth, behove, clove, drove, loaves, loathe\\n\\n\" \n", | |
| " prompt+=\"q: what is a word that rhymes with '{}'\\na:\".format(word) \n", | |
| " return self.query(prompt.strip())[\"choices\"][0][\"text\"].strip()\n" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "VNZXGUwKqI2u", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "test = poemWrapper(key=json.load(open(\"../gpt3/key.json\", \"r\"))[\"key\"])\n", | |
| "test.set_single_kwarg(\"max_tokens\", 150)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "-whf_03MqI2w", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "f31e8bc1-87fb-44d7-a6be-c4ba4f27624b" | |
| }, | |
| "source": [ | |
| "test.getManyRhymingWord(\"moat\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'boat, coat, coat, goat, boat, coat, coat, goat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat, coat,'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 127 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "IL6YtwUSqI2z", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# Take my list of rhyming words and find the one closest to a sentence" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "1Fe382HQqI2z", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "class poemWrapper(poemWrapper):\n", | |
| " \n", | |
| " def mostSimilarWord(self, sentence, rhymeWord):\n", | |
| " \"\"\"\n", | |
| " gets a word from the API that rhyms with word\n", | |
| " \"\"\"\n", | |
| "\n", | |
| " possibleRhymes = list(set([x.strip() for x in self.getManyRhymingWord(rhymeWord).split(\",\") if len(x) > 0]))\n", | |
| " scores = openai.Engine(\"davinci\").search(\n", | |
| " documents=[x for x in possibleRhymes],\n", | |
| " query=sentence\n", | |
| " )\n", | |
| "\n", | |
| " return max([(scores[\"data\"][i][\"score\"], possibleRhymes[i]) for i in range(len(possibleRhymes))])[1]" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "ucYUSWD7qI21", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "48b43342-e7dd-4d9e-e9f8-071cc940df25" | |
| }, | |
| "source": [ | |
| "test = poemWrapper(key=json.load(open(\"../gpt3/key.json\", \"r\"))[\"key\"])\n", | |
| "test.set_single_kwarg(\"max_tokens\", 120)\n", | |
| "test.mostSimilarWord(\"Sailing on the seven seas\", \"moat\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'boat'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 128 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "9PaeJjbKqI24", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# Take a word that's similar to a sentence and replace it at the end" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "TSD-RiyxqI24", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "class poemWrapper(poemWrapper):\n", | |
| " \n", | |
| " def replaceWithRhymingWord(self, sentence, word):\n", | |
| " \"\"\"\n", | |
| " imprved version of finding rhyming word;\n", | |
| " finds the word rhyming with word that fits sentence and rephrases it around the word\n", | |
| " \"\"\"\n", | |
| "\n", | |
| " replacementWord = self.mostSimilarWord(sentence, word)\n", | |
| " return self.rephraseToEndWithWord(sentence, replacementWord)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "yDsCxptJqI2-", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "14236c58-ec8e-42a5-bd03-0ab75bea9d99" | |
| }, | |
| "source": [ | |
| "test = poemWrapper(key=json.load(open(\"../gpt3/key.json\", \"r\"))[\"key\"])\n", | |
| "test.set_single_kwarg(\"max_tokens\", 120)\n", | |
| "test.replaceWithRhymingWord(\"Sailing on the seven seas\", \"moat\")" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'Sailing on a boat'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 130 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "zCHDVorOqI2_", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# Take 2 sentences, find all words that ends with the last word of the sentence, see which of those fits the next sentence, and replace it in it" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "bnHyHtYfqI3A", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "class poemWrapper(poemWrapper):\n", | |
| " \n", | |
| " def rhymeSentences(self, firstSentence, secondSentence):\n", | |
| " \"\"\"\n", | |
| " imprved version of finding rhyming word;\n", | |
| " rhyme the second sentence to the first sentence\n", | |
| " \"\"\"\n", | |
| " \n", | |
| " word = firstSentence.split()[-1].strip()\n", | |
| " replacementWord = self.mostSimilarWord(secondSentence, word)\n", | |
| " print(\"Found {} for {}\".format(replacementWord, word))\n", | |
| " return self.rephraseToEndWithWord(secondSentence, replacementWord)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "0CZJzT6eqI3C", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "test = poemWrapper(key=json.load(open(\"../gpt3/key.json\", \"r\"))[\"key\"])\n", | |
| "test.set_single_kwarg(\"max_tokens\", 200)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "F8wPjLeVqI3E", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "# https://www.cnn.com/2020/07/06/politics/georgia-governor-state-of-emergency/index.html" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "F8duPimzqI3H", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "b1840abf-c542-48db-c8ca-2b7ea18ec9e5" | |
| }, | |
| "source": [ | |
| "s1 = \"Georgia Gov. Brian Kemp on Monday declared a state of emergency and activated as many as 1,000 National Guard members\"\n", | |
| "s2 = \"\"\"Kemp, a Republican, said the executive order follows \"weeks of dramatically increased violent crime and property destruction in the City of Atlanta\"\"\"\n", | |
| "test.rhymeSentences(s1, s2)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Found members for members\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'Kemp, a Republican, said the executive order follows \"weeks of dramatically increased violent crime and property destruction by members of the Democratic Party in the City of Atlanta'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 302 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "0kzIsdXzqI3J", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "a2ddd510-189a-4ddd-ddce-3cd28742caa0" | |
| }, | |
| "source": [ | |
| "s1 = \"Once upon a midnight dreary, while I pondered, weak and weary\"\n", | |
| "s2 = \"Over many a quaint and curious volume of forgotten lore\"\n", | |
| "test.rhymeSentences(s1, s2)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Found cheery for weary\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'Over many a quaint and curious volume of forgotten lore, I cheery.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 303 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "nuuNPzPDqI3L", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "bda448df-52a6-4d8a-eb2a-8f1dac20d5cb" | |
| }, | |
| "source": [ | |
| "s1 = \"While I nodded, nearly napping, suddenly there came a tapping\"\n", | |
| "s2 = \"As of some one gently rapping, rapping at my chamber door.\"\n", | |
| "test.rhymeSentences(s1, s2)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Found tapping for tapping\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'As of some one gently tapping, tapping at my chamber door.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 306 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "xWJhNnTzqI3N", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "4063daac-cf59-4b43-f972-79d17439cd6b" | |
| }, | |
| "source": [ | |
| "s1=\"\"\"“’Tis some visitor,” I muttered, “tapping at my chamber door\"\"\"\n", | |
| "s2=\"\"\"Only this and nothing more.”\"\"\"\n", | |
| "test.rhymeSentences(s1, s2)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Found floor for door\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'Only this and nothing more.” On the floor.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 305 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "Tay45PFlqI3P", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "d12b0c47-5a16-478d-a5fc-6397f951ba60" | |
| }, | |
| "source": [ | |
| "s1 = \"\"\"Ah, distinctly I remember it was in the bleak December;\"\"\"\n", | |
| "s2 = \"\"\"And each separate dying ember wrought its ghost upon the floor.\"\"\"\n", | |
| "test.rhymeSentences(s1, s2)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Found December for December;\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'And each separate dying ember wrought its ghost upon the floor in December.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 307 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "Mo2Go7wNqI3R", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "3aa9726f-7f61-4798-d677-a926dc7659d4" | |
| }, | |
| "source": [ | |
| "s1 = \"Eagerly I wished the morrow;—vainly I had sought to borrow\"\n", | |
| "s2 = \"From my books surcease of sorrow—sorrow for the lost Lenore\"\n", | |
| "test.rhymeSentences(s1, s2)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Found boorish for borrow\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'From my books surcease of boorishness—boorishness for the lost Lenore.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 308 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "xABO8pDyqI3T", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "8f247072-d6c8-41f6-ac0d-6201ce83c6d0" | |
| }, | |
| "source": [ | |
| "s1 = \"For the rare and radiant maiden whom the angels name Lenore\"\n", | |
| "s2 = \"Nameless here for evermore.\"\n", | |
| "test.rhymeSentences(s1, s2)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Found lens for Lenore\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'Nameless here for evermore.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 311 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "QdU4VTuJqI3V", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "b3c0db94-4aee-4eb0-d5a3-539fe075e575" | |
| }, | |
| "source": [ | |
| "s1 = \"And the silken, sad, uncertain rustling of each purple curtain\"\n", | |
| "s2 = \"Thrilled me—filled me with fantastic terrors never felt before\"\n", | |
| "test.rhymeSentences(s1, s2)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "Found curtain for curtain\n" | |
| ], | |
| "name": "stdout" | |
| }, | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "'Thrilled me—filled me with fantastic terrors never felt before curtain.'" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 312 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "LVVCXv77qI3Y", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# And this adds a randomly rhyming next sentence. I think it needs to end with punctuation to work" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "osnrAsqoqI3a", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "import random\n", | |
| "class poemWrapper(poemWrapper):\n", | |
| " \n", | |
| " def addRhymingSentence(self, sentence):\n", | |
| " \"\"\"\n", | |
| " imprved version of finding rhyming word;\n", | |
| " rhyme the second sentence to the first sentence\n", | |
| " \"\"\"\n", | |
| " \n", | |
| " word = sentence.split()[-1].strip()\n", | |
| " possibleRhymes = list(set([x.strip() for x in self.getManyRhymingWord(word).split(\",\") if (len(x) > 0 and x != word)]))\n", | |
| " \n", | |
| " target_word = random.choice(possibleRhymes)\n", | |
| " \n", | |
| " prompt = \"I want you to construct a nextSentence that follows the startSentence\\n\\n\"\n", | |
| " prompt += \"startSentence: humpty dumpty sat on a wall\\n\"\n", | |
| " prompt += \"nextEnding: fall\\n\"\n", | |
| " prompt += \"nextSentence: humpty dumpty had a great fall\\n\\n\"\n", | |
| " \n", | |
| " prompt += \"startSentence: All the king's horses and all the king's men\\n\"\n", | |
| " prompt += \"nextEnding: again\\n\"\n", | |
| " prompt += \"nextSentence: Couldn't put humpty together again\\n\\n\"\n", | |
| " \n", | |
| " prompt += \"startSentence: james once ate a turnip\\n\"\n", | |
| " prompt += \"nextEnding: grip\\n\"\n", | |
| " prompt += \"nextSentence: james then lost his grip\\n\\n\"\n", | |
| "\n", | |
| " prompt += \"startSentence: I saw a cow walk into a lake\\n\"\n", | |
| " prompt += \"nextEnding: steak\\n\"\n", | |
| " prompt += \"nextSentence: I thought it would make great steak\\n\\n\" \n", | |
| " \n", | |
| " prompt += \"startSentence: {}.\\n\".format(sentence) #it needs punctuaton or it just repeats\n", | |
| " prompt += \"nextEnding: {}\\n\".format(target_word)\n", | |
| " prompt += \"nextSentence:\"\n", | |
| "\n", | |
| " return self.query(prompt.strip())[\"choices\"][0][\"text\"].strip()\n", | |
| "\n", | |
| " " | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "rVrgRA4kqI3d", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "test = poemWrapper(key=json.load(open(\"../gpt3/key.json\", \"r\"))[\"key\"])\n", | |
| "test.set_single_kwarg(\"max_tokens\", 100)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "n7W61gTmqI3e", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "a7756a45-c978-4c04-ac60-842564fb171d" | |
| }, | |
| "source": [ | |
| "for i in range(10):\n", | |
| " print(test.addRhymingSentence(\"I was talking with a friend about going to the store\"))" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "I said, \"I'm going to the store to buy some storks.\"\n", | |
| "I said, \"I'm going to the store to buy some storks.\"\n", | |
| "I was talking with a friend about going to the store.\n", | |
| "I said, \"I'm going to the store to buy a stork.\"\n", | |
| "I said, \"I'm going to the store to buy a stork.\"\n", | |
| "I was talking with a friend about going to the store.\n", | |
| "I was talking with a boor about going to the store.\n", | |
| "I said, \"I'm going to the store to buy some storks.\"\n", | |
| "I said, \"I think I'll stork it.\"\n", | |
| "I said, \"I'm going to the store with storky.\"\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "IRxz1kT5qI3h", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# well, it occasionally gets a rhyme" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "scrolled": true, | |
| "id": "lpK8cBfwqI3h", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "ab936029-ce0f-4b34-c514-19cf7899649c" | |
| }, | |
| "source": [ | |
| "for i in range(10):\n", | |
| " print(test.addRhymingSentence(\"I saw on the floor something being chased by the cat\"))" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "I thought it was a cat chasing something on the floor\n", | |
| "I thought it would make great wet cat food\n", | |
| "I saw on the floor something being chased by the cat. It sat on the mat.\n", | |
| "I thought it was a cat chasing a pat\n", | |
| "I saw on the floor something being chased by the cat. It sat on the mat.\n", | |
| "I saw on the floor something being chased by the cat. It sat on the mat.\n", | |
| "I saw on the floor something being chased by the cat. It sat on the mat.\n", | |
| "I saw on the floor something being chased by the cat. It sat on the mat.\n", | |
| "I thought it was a fat rat\n", | |
| "I thought it would make great wet cat food\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "R45y--1lqI3k", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "o69GgdwFqI3m", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# Is it able to rhyme imaginary words?" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "wm3w2O9gqI3m", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "suffixes = [\"arn\", \"ano\", \"ing\", \"een\"]\n", | |
| "prefixes = [\"max\", \"millan\", \"freep\", \"zooaz\"]" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "myce-Hj_qI3o", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "myWords = [x+y for x in suffixes for y in prefixes]" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "Fd9YYmszqI3q", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "5a2f9909-bebf-4bcd-9520-880bd95fb979" | |
| }, | |
| "source": [ | |
| "print(\", \".join([x for x in myWords if x.endswith(\"max\")]))" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "arnmax, anomax, ingmax, eenmax\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "RwoTTtBtqI3r", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "prompt = \"words rhyme if they have similar sounding endings.\\n\"\n", | |
| "prompt += \"my words are: {}.\\n\".format(\", \".join(myWords))\n", | |
| "prompt += \"q: Which of my words rhymes with arnmax?\\n\"\n", | |
| "prompt += \"a: arnmax, anomax, ingmax, eenmax\\n\\n\"\n", | |
| "prompt += \"q: Which of my words rhmye with {}?\\na:\"" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "LfNdx4aUqI3t", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "27e7bdf1-d012-477e-8916-67a6d65dd0e2" | |
| }, | |
| "source": [ | |
| "print(prompt)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "words rhyme if they have similar sounding endings.\n", | |
| "my words are: arnmax, arnmillan, arnfreep, arnzooaz, anomax, anomillan, anofreep, anozooaz, ingmax, ingmillan, ingfreep, ingzooaz, eenmax, eenmillan, eenfreep, eenzooaz.\n", | |
| "q: Which of my words rhymes with arnmax?\n", | |
| "a: arnmax, anomax, ingmax, eenmax\n", | |
| "\n", | |
| "q: Which of my words rhmye with {}?\n", | |
| "a:\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "BkgVJ5YqqI3v", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "guesses = {}" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "b9AUHimMqI3y", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "for word in myWords:\n", | |
| " guesses[word] = test.query(prompt.format(word))" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "jMLJBg_aqI30", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "extracted_guesses = {}\n", | |
| "for word in guesses:\n", | |
| " extracted_guesses[word] = guesses[word][\"choices\"][0][\"text\"]" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "H7HOcsQ8qI33", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# here's the rhyming results: looks like it worked" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "scrolled": true, | |
| "id": "ci2vTny7qI34", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "f8784f12-ce5b-4403-9992-a3cfc261b062" | |
| }, | |
| "source": [ | |
| "extracted_guesses" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "execute_result", | |
| "data": { | |
| "text/plain": [ | |
| "{'arnmax': ' arnmax, anomax, ingmax, eenmax',\n", | |
| " 'arnmillan': ' arnmillan, anomillan, ingmillan, eenmillan',\n", | |
| " 'arnfreep': ' arnfreep, anofreep, ingfreep, eenfreep',\n", | |
| " 'arnzooaz': ' arnzooaz, anozooaz, ingzooaz, eenzooaz',\n", | |
| " 'anomax': ' anomax, arnmax, ingmax, eenmax',\n", | |
| " 'anomillan': ' anomax, anomillan, ingmillan, eenmillan',\n", | |
| " 'anofreep': ' anomax, anofreep, ingzooaz, eenfreep',\n", | |
| " 'anozooaz': ' anomax, anozooaz, ingzooaz, eenzooaz',\n", | |
| " 'ingmax': ' arnmax, anomax, ingmax, eenmax',\n", | |
| " 'ingmillan': ' arnmax, anomax, ingmax, eenmax',\n", | |
| " 'ingfreep': ' arnfreep, anofreep, eenfreep',\n", | |
| " 'ingzooaz': ' ingzooaz, anozooaz, eenzooaz, arnzooaz',\n", | |
| " 'eenmax': ' eenmax, anomax, ingmax, arnmax',\n", | |
| " 'eenmillan': ' eenmillan, anomillan, ingmillan, eenmillan',\n", | |
| " 'eenfreep': ' eenfreep, anofreep, ingfreep, anozooaz',\n", | |
| " 'eenzooaz': ' eenzooaz, anozooaz, ingzooaz, eenzooaz'}" | |
| ] | |
| }, | |
| "metadata": { | |
| "tags": [] | |
| }, | |
| "execution_count": 379 | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "markdown", | |
| "metadata": { | |
| "id": "YF5wqVrEqI36", | |
| "colab_type": "text" | |
| }, | |
| "source": [ | |
| "# here's what the request looked like" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "pijdVRcnqI37", | |
| "colab_type": "code", | |
| "colab": {}, | |
| "outputId": "dfbc58f4-87b4-437f-cf3d-f699a1e0d650" | |
| }, | |
| "source": [ | |
| "print(test.last_request)" | |
| ], | |
| "execution_count": null, | |
| "outputs": [ | |
| { | |
| "output_type": "stream", | |
| "text": [ | |
| "words rhyme if they have similar sounding endings.\n", | |
| "my words are: arnmax, arnmillan, arnfreep, arnzooaz, anomax, anomillan, anofreep, anozooaz, ingmax, ingmillan, ingfreep, ingzooaz, eenmax, eenmillan, eenfreep, eenzooaz.\n", | |
| "q: Which of my words rhymes with arnmax?\n", | |
| "a: arnmax, anomax, ingmax, eenmax\n", | |
| "\n", | |
| "q: Which of my words rhmye with eenzooaz?\n", | |
| "a:\n" | |
| ], | |
| "name": "stdout" | |
| } | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "metadata": { | |
| "id": "MkDgFjcaqI38", | |
| "colab_type": "code", | |
| "colab": {} | |
| }, | |
| "source": [ | |
| "" | |
| ], | |
| "execution_count": null, | |
| "outputs": [] | |
| } | |
| ] | |
| } |
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