{ "cells": [ { "cell_type": "markdown", "id": "GJaXT4uS24dn", "metadata": { "id": "GJaXT4uS24dn" }, "source": [ "### Install packages if necessary" ] }, { "cell_type": "code", "execution_count": null, "id": "WD7ypmIK2sdY", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "WD7ypmIK2sdY", "outputId": "1da00987-92b8-4809-9dc5-add9b30e7da8" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Collecting langchain\n", " Downloading langchain-0.2.12-py3-none-any.whl.metadata (7.1 kB)\n", "Requirement already satisfied: PyYAML>=5.3 in /usr/local/lib/python3.10/dist-packages (from langchain) (6.0.1)\n", "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /usr/local/lib/python3.10/dist-packages (from langchain) (2.0.31)\n", "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /usr/local/lib/python3.10/dist-packages (from langchain) (3.9.5)\n", "Requirement already satisfied: async-timeout<5.0.0,>=4.0.0 in /usr/local/lib/python3.10/dist-packages 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nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n", "Downloading nvidia_nvjitlink_cu12-12.6.20-py3-none-manylinux2014_x86_64.whl (19.7 MB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.7/19.7 MB\u001b[0m \u001b[31m12.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hInstalling collected packages: nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, sentence-transformers, langchain_huggingface\n", "Successfully installed langchain_huggingface-0.0.3 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.6.20 nvidia-nvtx-cu12-12.1.105 sentence-transformers-3.0.1\n", "Collecting trl\n", " Downloading trl-0.9.6-py3-none-any.whl.metadata (12 kB)\n", "Requirement already satisfied: torch>=1.4.0 in /usr/local/lib/python3.10/dist-packages (from trl) (2.3.1+cu121)\n", "Requirement already satisfied: transformers>=4.31.0 in /usr/local/lib/python3.10/dist-packages (from trl) (4.42.4)\n", "Requirement already satisfied: numpy<2.0.0,>=1.18.2 in /usr/local/lib/python3.10/dist-packages (from trl) (1.26.4)\n", "Requirement already satisfied: accelerate in /usr/local/lib/python3.10/dist-packages (from trl) (0.32.1)\n", "Collecting datasets (from trl)\n", " Downloading datasets-2.20.0-py3-none-any.whl.metadata (19 kB)\n", "Collecting tyro>=0.5.11 (from trl)\n", " Downloading tyro-0.8.5-py3-none-any.whl.metadata (8.2 kB)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.4.0->trl) (3.15.4)\n", 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python-dateutil>=2.8.2->pandas->datasets->trl) (1.16.0)\n", "Downloading trl-0.9.6-py3-none-any.whl (245 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m245.8/245.8 kB\u001b[0m \u001b[31m6.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hDownloading tyro-0.8.5-py3-none-any.whl (103 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m103.4/103.4 kB\u001b[0m \u001b[31m9.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hDownloading datasets-2.20.0-py3-none-any.whl (547 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m547.8/547.8 kB\u001b[0m \u001b[31m28.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25hDownloading dill-0.3.8-py3-none-any.whl (116 kB)\n", "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.3/116.3 kB\u001b[0m \u001b[31m11.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", 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currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", "cudf-cu12 24.4.1 requires pyarrow<15.0.0a0,>=14.0.1, but you have pyarrow 17.0.0 which is incompatible.\n", "gcsfs 2024.6.1 requires fsspec==2024.6.1, but you have fsspec 2024.5.0 which is incompatible.\n", "google-colab 1.0.0 requires requests==2.31.0, but you have requests 2.32.3 which is incompatible.\n", "ibis-framework 8.0.0 requires pyarrow<16,>=2, but you have pyarrow 17.0.0 which is incompatible.\u001b[0m\u001b[31m\n", "\u001b[0mSuccessfully installed datasets-2.20.0 dill-0.3.8 fsspec-2024.5.0 multiprocess-0.70.16 pyarrow-17.0.0 requests-2.32.3 shtab-1.7.1 trl-0.9.6 tyro-0.8.5 xxhash-3.4.1\n", "Requirement already satisfied: datasets in /usr/local/lib/python3.10/dist-packages (2.20.0)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from datasets) (3.15.4)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets) 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already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.2->transformers) (2024.5.0)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.2->transformers) (4.12.2)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.3.2)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.7)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2024.7.4)\n" ] } ], "source": [ "!pip install langchain\n", "!pip install langchain_huggingface\n", "!pip install trl\n", "!pip install datasets\n", "!pip install transformers" ] }, { "cell_type": "code", "execution_count": null, "id": "8lYEzxt_NMBy", "metadata": { "id": "8lYEzxt_NMBy" }, "outputs": [], "source": [ "import requests" ] }, { "cell_type": "code", "execution_count": null, "id": "HohVRGi0NbDi", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HohVRGi0NbDi", "outputId": "7359a541-7ee0-48e9-f117-8e1d55ea1c8f" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "completed heldig_data\n", "completed heldig_data1\n", "completed heldig_data2\n", "completed heldig_data3\n", "completed heldig_data4\n", "completed heldig_data5\n" ] } ], "source": [ "# fres = requests.get(\"https://github.com/imnuvi/random_art_generator/blob/heldig/taste_prediction/machine_learning/train_data/heldig_data.csv\")\n", "\n", "files = [\"heldig_data\", \"heldig_data2\", \"heldig_data3\", \"heldig_data4\", \"heldig_data5\", ]\n", "\n", "\n", "for file in files:\n", " fres = requests.get(\"https://raw.githubusercontent.com/imnuvi/random_art_generator/heldig/taste_prediction/machine_learning/train_data/\" + file + \".csv\", allow_redirects=True)\n", " with open(file + \".csv\", \"w+\") as csfile:\n", " dec = fres.content.decode(\"utf-8\")\n", " csfile.writelines(dec)\n", " print(\"completed \" + file)\n", "\n", "\n" ] }, { "cell_type": "markdown", "id": "WUNQUaVF29Mv", "metadata": { "id": "WUNQUaVF29Mv" }, "source": [ "### Viewing the data at hand." ] }, { "cell_type": "code", "execution_count": null, "id": "PyqUiLIBtZti", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "id": "PyqUiLIBtZti", "outputId": "50ab9aa6-98a7-43fa-d520-14cb248fa1da" }, "outputs": [ { "data": { "application/vnd.google.colaboratory.intrinsic+json": { "summary": "{\n \"name\": \"data\",\n \"rows\": 92,\n \"fields\": [\n {\n \"column\": \"userAction\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n 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\"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"c2g\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 74,\n \"min\": 1,\n \"max\": 251,\n \"num_unique_values\": 78,\n \"samples\": [\n 173,\n 86\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"c2b\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 72,\n \"min\": 1,\n \"max\": 252,\n \"num_unique_values\": 74,\n \"samples\": [\n 37,\n 162\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"c3r\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 73,\n \"min\": 1,\n \"max\": 252,\n \"num_unique_values\": 75,\n \"samples\": [\n 186,\n 245\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"c3g\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 1,\n \"max\": 250,\n \"num_unique_values\": 78,\n \"samples\": [\n 238,\n 55\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"c3b\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 67,\n \"min\": 1,\n \"max\": 255,\n \"num_unique_values\": 73,\n \"samples\": [\n 61,\n 228\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"c4r\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 74,\n \"min\": 0,\n \"max\": 246,\n \"num_unique_values\": 78,\n \"samples\": [\n 187,\n 152\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"c4g\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 75,\n \"min\": 2,\n \"max\": 254,\n \"num_unique_values\": 84,\n \"samples\": [\n 16,\n 113\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"c4b\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 79,\n \"min\": 1,\n \"max\": 253,\n \"num_unique_values\": 80,\n \"samples\": [\n 219,\n 12\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", 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userActionc1rc1gc1bc2rc2gc2bc3rc3gc3bc4rc4gc4b
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\n" ], "text/plain": [ " userAction c1r c1g c1b c2r c2g c2b c3r c3g c3b c4r c4g c4b\n", "0 dislike 193 19 59 185 86 143 250 55 218 152 113 12\n", "1 Like 38 154 243 21 189 124 107 103 118 63 156 217\n", "2 dislike 51 66 187 97 15 69 241 145 184 6 218 168\n", "3 dislike 224 171 164 198 238 70 137 127 55 210 11 49\n", "4 Like 97 210 199 223 155 37 186 42 61 53 163 242" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "import numpy as np\n", "\n", "df = pd.read_csv(\"heldig_data.csv\")\n", "data = df.drop(['clickX', 'clickY'], axis=1)\n", "data.head()" ] }, { "cell_type": "code", "execution_count": null, "id": "c27fa3fa", "metadata": { "id": "c27fa3fa" }, "outputs": [], "source": [ "#Random generated data is considered. Totally 5 users, 5 files hence.\n", "u1 = data\n", "\n", "u2 = pd.read_csv(\"heldig_data2.csv\")\n", "# u2 = user2.drop(['sno'], axis=1)\n", "\n", "u3 = pd.read_csv(\"heldig_data3.csv\")\n", "# u3 = user3.drop(['sno'], axis=1)\n", "\n", "u4 = pd.read_csv(\"heldig_data4.csv\")\n", "# u4 = user4.drop(['sno'],axis=1)\n", "\n", "u5 = pd.read_csv(\"heldig_data5.csv\")\n", "# u5 = user5.drop(['sno'],axis=1)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "ad9dc611", "metadata": { "id": "ad9dc611" }, "outputs": [], "source": [ "import time\n", "\n", "#### use Your access token here!\n", "access_token = \"your_access_token_here\"" ] }, { "cell_type": "markdown", "id": "cd6f51ca", "metadata": { "id": "cd6f51ca" }, "source": [ "### Level 1 - prompting" ] }, { "cell_type": "code", "execution_count": null, "id": "cf9084e4", "metadata": { "id": "cf9084e4" }, "outputs": [], "source": [ "from langchain_core.prompts import ChatPromptTemplate\n", "\n", "system_prompt = (\n", " \"\"\" You are part of the recommendations team. As a helpful assistant, aid in suggesting the colours for the wallpaper generator app, based on the user's preferences given. \"\"\"\n", ")\n", "assistant_prompt = (\n", " \"\"\"Suggest new wallpaper colours for the user based on the given preferences. Apply the guidlines as mentioned below, do not hallucinate the answer.\"\"\"\n", " \"\"\"The user preference is a table with their preferences denoted by like/dislike, and it is as follows: {preference}\"\"\"\n", " \"\"\"\n", " Guidelines:\n", " 1. Give a single colour combination output. Try not to give any already mentioned colour from the preference data.\n", " 3. The output should be given as follows:\n", " c1r : ## | c1g : ## | c1b: ## | respective colour name | respective colour hex-code\n", " c2r : ## | c2g : ## | c2b: ## | respective colour name | respective colour hex-code\n", " c3r : ## | c3g : ## | c3b: ## | respective colour name | respective colour hex-code\n", " c4r : ## | c4g : ## | c4b: ## | respective colour name | respective colour hex-code\n", " 4. Finally give a message suggesting a creative name for the wallpaper based on the colours said by you.\n", " \"\"\"\n", " )" ] }, { "cell_type": "code", "execution_count": null, "id": "dc1a2009", "metadata": { "id": "dc1a2009" }, "outputs": [], "source": [ "prompt = ChatPromptTemplate.from_messages(\n", " [\n", " (\"system\", system_prompt),\n", " (\"assistant\", assistant_prompt),\n", " (\"human\", \"{preference}\"),\n", " ]\n", ")" ] }, { "cell_type": "code", "execution_count": null, "id": "8c0e1919", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "8c0e1919", "outputId": "5ac838c4-f2c1-48cd-bbaa-c5e8689e6955" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\n", "Token is valid (permission: write).\n", "Your token has been saved to /root/.cache/huggingface/token\n", "Login successful\n" ] } ], "source": [ "from transformers import AutoModelForCausalLM, AutoTokenizer\n", "from langchain_huggingface import HuggingFaceEndpoint\n", "from langchain.chains.llm import LLMChain\n", "from langchain.evaluation import load_evaluator\n", "import langchain.evaluation\n", "import time\n", "\n", "model = \"mistralai/Mistral-7B-Instruct-v0.3\"\n", "llm = HuggingFaceEndpoint(repo_id=model , huggingfacehub_api_token = access_token,\n", " max_new_tokens=2000,\n", " top_k=50,\n", " top_p=0.99,\n", " temperature=0.1)\n", "\n", "def suggestion(prompt, pref, llm):\n", " llm_chain = LLMChain(prompt=prompt, llm=llm)\n", " llm_reply = llm_chain.invoke({\"preference\":pref})\n", " pred = llm_reply['text'] ##llm answer\n", " return pred, llm_reply" ] }, { "cell_type": "code", "execution_count": null, "id": "d31da452", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "d31da452", "outputId": "9a9afb0f-b93f-4e27-be40-37bbc28369db" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:139: LangChainDeprecationWarning: The class `LLMChain` was deprecated in LangChain 0.1.17 and will be removed in 1.0. Use RunnableSequence, e.g., `prompt | llm` instead.\n", " warn_deprecated(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Elapsed time: 4.879039525985718 seconds \n", "\n" ] } ], "source": [ "st = time.time()\n", "llm_answer, whole = suggestion(prompt, u1, llm)\n", "et = time.time()\n", "print(\"Elapsed time: \", et-st, \"seconds\", \"\\n\")" ] }, { "cell_type": "code", "execution_count": null, "id": "00351c1f", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "00351c1f", "outputId": "8fe64fd1-2f9a-4d82-8196-59a1648ddbaf" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "AI: Based on the user's preferences, it seems they prefer cooler tones with a mix of bright and pastel shades. Let's suggest a colour combination for the wallpaper that aligns with their preferences.\n", "\n", "c1r: 155 (Lavender) #9999FF\n", "c1g: 213 (Pale Sky Blue) #D5E8FF\n", "c1b: 102 (Pale Violet Red) #663399\n", "\n", "c2r: 189 (Sky Blue) #BFD2FF\n", "c2g: 135 (Pale Green) #87FF87\n", "c2b: 124 (Pale Turquoise) #93C5DE\n", "\n", "c3r: 128 (Pale Cyan) #80FFFF\n", "c3g: 181 (Pale Yellow) #B2FF88\n", "c3b: 153 (Pale Gold) #99CC66\n", "\n", "c4r: 163 (Pale Blue) #A2E5FF\n", "c4g: 147 (Pale Purple) #9399CC\n", "c4b: 113 (Pale Pink) #717FFF\n", "\n", "Suggested creative name for the wallpaper: \"Cool Breeze Canvas\" - a refreshing blend of cool tones that creates a calming and serene atmosphere.\n" ] } ], "source": [ "print(llm_answer)" ] }, { "cell_type": "markdown", "id": "d84ce711", "metadata": { "id": "d84ce711" }, "source": [ "### Level 2 - prompting" ] }, { "cell_type": "markdown", "id": "gKp_aQS8zPG4", "metadata": { "id": "gKp_aQS8zPG4" }, "source": [ "#### Creating custom huggingface_dataset" ] }, { "cell_type": "code", "execution_count": null, "id": "7523c296", "metadata": { "id": "7523c296" }, "outputs": [], "source": [ "chosen = [u1.to_dict(), u2.to_dict(), u3.to_dict(), u4.to_dict, u5.to_dict()]\n", "prompts = [\n", " \"\"\" You are part of the recommendations team. As a helpful assistant, aid in suggesting the colours for the wallpaper generator app, based on the user's preferences given. \"\"\"\n", " \"\"\"Suggest new wallpaper colours for the user based on the given preferences. Apply the guidlines as mentioned below, do not hallucinate the answer.\"\"\"\n", " \"\"\"The user preference is a table with their preferences denoted by like/dislike, and it is as follows: userAction c1r c1g c1b c2r c2g c2b c3r c3g c3b c4r c4g c4b\n", "0 dislike 193 19 59 185 86 143 250 55 218 152 113 12\n", "1 Like 38 154 243 21 189 124 107 103 118 63 156 217\n", "2 dislike 51 66 187 97 15 69 241 145 184 6 218 168\n", "3 dislike 224 171 164 198 238 70 137 127 55 210 11 49\n", "4 Like 97 210 199 223 155 37 186 42 61 53 163 242\n", " \"\"\"\n", " \"\"\"\n", " Guidelines:\n", " 1. Give a single colour combination output. Try not to give any already mentioned colour from the preference data.\n", " 3. The output should be given as follows:\n", " c1r : ## | c1g : ## | c1b: ## | respective colour name | respective colour hex-code\n", " c2r : ## | c2g : ## | c2b: ## | respective colour name | respective colour hex-code\n", " c3r : ## | c3g : ## | c3b: ## | respective colour name | respective colour hex-code\n", " c4r : ## | c4g : ## | c4b: ## | respective colour name | respective colour hex-code\n", " 4. Finally give a message suggesting a creative name for the wallpaper based on the colours said by you.\n", " \"\"\",\n", "\n", " \"\"\" You are part of the recommendations team. As a helpful assistant, aid in suggesting the colours for the wallpaper generator app, based on the user's preferences given. \"\"\"\n", " \"\"\"Suggest new wallpaper colours for the user based on the given preferences. Apply the guidlines as mentioned below, do not hallucinate the answer.\"\"\"\n", " \"\"\"The user preference is a table with their preferences denoted by like/dislike, and it is as follows: userAction\tc1r\tc1g\tc1b\tc2r\tc2g\tc2b\tc3r\tc3g\tc3b\tc4r\tc4g\tc4b\n", "0\tdislike\t120\t26\t189\t120\t115\t204\t232\t2\t102\t197\t199\t154\n", "1\tdislike\t61\t164\t224\t50\t233\t171\t151\t206\t58\t117\t159\t95\n", "2\tLike\t232\t179\t112\t61\t240\t185\t51\t11\t253\t38\t129\t130\n", "3\tdislike\t100\t112\t183\t80\t186\t112\t1\t129\t219\t53\t86\t228\n", "4\tLike\t224\t128\t146\t125\t129\t52\t171\t217\t159\t197\t159\t246\n", " \"\"\"\n", " \"\"\"\n", " Guidelines:\n", " 1. Give a single colour combination output. Try not to give any already mentioned colour from the preference data.\n", " 3. The output should be given as follows:\n", " c1r : ## | c1g : ## | c1b: ## | respective colour name | respective colour hex-code\n", " c2r : ## | c2g : ## | c2b: ## | respective colour name | respective colour hex-code\n", " c3r : ## | c3g : ## | c3b: ## | respective colour name | respective colour hex-code\n", " c4r : ## | c4g : ## | c4b: ## | respective colour name | respective colour hex-code\n", " 4. Finally give a message suggesting a creative name for the wallpaper based on the colours said by you.\n", " \"\"\",\n", "\n", " \"\"\" You are part of the recommendations team. As a helpful assistant, aid in suggesting the colours for the wallpaper generator app, based on the user's preferences given. \"\"\"\n", " \"\"\"Suggest new wallpaper colours for the user based on the given preferences. Apply the guidlines as mentioned below, do not hallucinate the answer.\"\"\"\n", " \"\"\"The user preference is a table with their preferences denoted by like/dislike, and it is as follows: \tuserAction\tc1r\tc1g\tc1b\tc2r\tc2g\tc2b\tc3r\tc3g\tc3b\tc4r\tc4g\tc4b\n", "0\tLike\t130\t0\t4\t217\t246\t254\t141\t102\t26\t136\t206\t14\n", "1\tLike\t41\t123\t204\t178\t62\t95\t230\t240\t51\t252\t95\t131\n", "2\tLike\t228\t150\t230\t236\t142\t170\t28\t35\t12\t159\t70\t186\n", "3\tdislike\t85\t27\t65\t169\t44\t61\t184\t244\t133\t27\t27\t107\n", "4\tLike\t83\t29\t189\t74\t127\t249\t246\t91\t216\t230\t189\t224\n", " \"\"\"\n", " \"\"\"\n", " Guidelines:\n", " 1. Give a single colour combination output. Try not to give any already mentioned colour from the preference data.\n", " 3. The output should be given as follows:\n", " c1r : ## | c1g : ## | c1b: ## | respective colour name | respective colour hex-code\n", " c2r : ## | c2g : ## | c2b: ## | respective colour name | respective colour hex-code\n", " c3r : ## | c3g : ## | c3b: ## | respective colour name | respective colour hex-code\n", " c4r : ## | c4g : ## | c4b: ## | respective colour name | respective colour hex-code\n", " 4. Finally give a message suggesting a creative name for the wallpaper based on the colours said by you.\n", " \"\"\",\n", "\n", " \"\"\" You are part of the recommendations team. As a helpful assistant, aid in suggesting the colours for the wallpaper generator app, based on the user's preferences given. \"\"\"\n", " \"\"\"Suggest new wallpaper colours for the user based on the given preferences. Apply the guidlines as mentioned below, do not hallucinate the answer.\"\"\"\n", " \"\"\"The user preference is a table with their preferences denoted by like/dislike, and it is as follows: userAction\tc1r\tc1g\tc1b\tc2r\tc2g\tc2b\tc3r\tc3g\tc3b\tc4r\tc4g\tc4b\n", "0\tdislike\t107\t54\t243\t63\t248\t130\t228\t50\t134\t20\t72\t166\n", "1\tLike\t131\t88\t59\t13\t241\t249\t8\t89\t52\t129\t83\t91\n", "2\tdislike\t187\t198\t171\t252\t7\t174\t34\t205\t80\t163\t49\t103\n", "3\tLike\t1\t253\t133\t53\t105\t3\t53\t220\t190\t145\t217\t43\n", "4\tLike\t201\t189\t227\t13\t94\t47\t14\t199\t205\t214\t251\t248\n", " \"\"\"\n", " \"\"\"\n", " Guidelines:\n", " 1. Give a single colour combination output. Try not to give any already mentioned colour from the preference data.\n", " 3. The output should be given as follows:\n", " c1r : ## | c1g : ## | c1b: ## | respective colour name | respective colour hex-code\n", " c2r : ## | c2g : ## | c2b: ## | respective colour name | respective colour hex-code\n", " c3r : ## | c3g : ## | c3b: ## | respective colour name | respective colour hex-code\n", " c4r : ## | c4g : ## | c4b: ## | respective colour name | respective colour hex-code\n", " 4. Finally give a message suggesting a creative name for the wallpaper based on the colours said by you.\n", " \"\"\",\n", "\n", " \"\"\" You are part of the recommendations team. As a helpful assistant, aid in suggesting the colours for the wallpaper generator app, based on the user's preferences given. \"\"\"\n", " \"\"\"Suggest new wallpaper colours for the user based on the given preferences. Apply the guidlines as mentioned below, do not hallucinate the answer.\"\"\"\n", " \"\"\"The user preference is a table with their preferences denoted by like/dislike, and it is as follows: userAction\tc1r\tc1g\tc1b\tc2r\tc2g\tc2b\tc3r\tc3g\tc3b\tc4r\tc4g\tc4b\n", "0\tLike\t39\t212\t207\t236\t81\t110\t52\t23\t153\t216\t251\t187\n", "1\tLike\t236\t40\t156\t14\t44\t64\t88\t70\t8\t87\t128\t235\n", "2\tLike\t215\t62\t138\t242\t80\t135\t162\t162\t32\t122\t4\t233\n", "3\tdislike\t249\t40\t27\t134\t200\t71\t11\t161\t32\t47\t246\t150\n", "4\tLike\t215\t36\t98\t171\t103\t213\t218\t34\t192\t226\t100\t174\n", " \"\"\"\n", " \"\"\"\n", " Guidelines:\n", " 1. Give a single colour combination output. Try not to give any already mentioned colour from the preference data.\n", " 3. The output should be given as follows:\n", " c1r : ## | c1g : ## | c1b: ## | respective colour name | respective colour hex-code\n", " c2r : ## | c2g : ## | c2b: ## | respective colour name | respective colour hex-code\n", " c3r : ## | c3g : ## | c3b: ## | respective colour name | respective colour hex-code\n", " c4r : ## | c4g : ## | c4b: ## | respective colour name | respective colour hex-code\n", " 4. Finally give a message suggesting a creative name for the wallpaper based on the colours said by you.\n", " \"\"\"\n", " ]" ] }, { "cell_type": "code", "execution_count": null, "id": "2b09f7b2", "metadata": { "id": "2b09f7b2" }, "outputs": [], "source": [ "r1 = {\n", " 'userAction': {0: 'dislike'},\n", " 'c1r': {0: 100},\n", " 'c1g': {0: 200},\n", " 'c1b': {0: 255},\n", " 'c2r': {0: 255},\n", " 'c2g': {0: 100},\n", " 'c2b': {0: 100},\n", " 'c3r': {0: 200},\n", " 'c3g': {0: 200},\n", " 'c3b': {0: 255},\n", " 'c4r': {0: 100},\n", " 'c4g': {0: 100},\n", " 'c4b': {0: 255}\n", "}\n", "\n", "r2 = {\n", " 'userAction': {0: 'dislike'},\n", " 'c1r': {0: 240},\n", " 'c1g': {0: 185},\n", " 'c1b': {0: 51},\n", " 'c2r': {0: 125},\n", " 'c2g': {0: 129},\n", " 'c2b': {0: 52},\n", " 'c3r': {0: 171},\n", " 'c3g': {0: 217},\n", " 'c3b': {0: 159},\n", " 'c4r': {0: 159},\n", " 'c4g': {0: 197},\n", " 'c4b': {0: 159}\n", "}\n", "\n", "r3 = {\n", " 'userAction': {0: 'like'},\n", " 'c1r': {0: 178},\n", " 'c1g': {0: 62},\n", " 'c1b': {0: 95},\n", " 'c2r': {0: 236},\n", " 'c2g': {0: 142},\n", " 'c2b': {0: 170},\n", " 'c3r': {0: 228},\n", " 'c3g': {0: 150},\n", " 'c3b': {0: 230},\n", " 'c4r': {0: 83},\n", " 'c4g': {0: 29},\n", " 'c4b': {0: 189}\n", "}\n", "\n", "r4 = {\n", " 'userAction': {0: 'like'},\n", " 'c1r': {0: 240},\n", " 'c1g': {0: 240},\n", " 'c1b': {0: 150},\n", " 'c2r': {0: 150},\n", " 'c2g': {0: 100},\n", " 'c2b': {0: 20},\n", " 'c3r': {0: 200},\n", " 'c3g': {0: 255},\n", " 'c3b': {0: 200},\n", " 'c4r': {0: 255},\n", " 'c4g': {0: 20},\n", " 'c4b': {0: 20}\n", "}\n", "\n", "r5 = {\n", " 'userAction': {0: 'like'},\n", " 'c1r': {0: 123},\n", " 'c1g': {0: 234},\n", " 'c1b': {0: 255},\n", " 'c2r': {0: 255},\n", " 'c2g': {0: 204},\n", " 'c2b': {0: 153},\n", " 'c3r': {0: 255},\n", " 'c3g': {0: 102},\n", " 'c3b': {0: 0},\n", " 'c4r': {0: 255},\n", " 'c4g': {0: 0},\n", " 'c4b': {0: 128}\n", "}" ] }, { "cell_type": "code", "execution_count": null, "id": "57e5a917", "metadata": { "id": "57e5a917" }, "outputs": [], "source": [ "rejected = [r1, r2, r3, r4, r5]" ] }, { "cell_type": "code", "execution_count": null, "id": "493088dd", "metadata": { "id": "493088dd" }, "outputs": [], "source": [ "data = pd.DataFrame()\n", "data['prompt'] = prompts\n", "data['chosen'] = chosen\n", "data['rejected'] = rejected" ] }, { "cell_type": "code", "execution_count": null, "id": "02f7c7f6", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 293 }, "id": "02f7c7f6", "outputId": "1dcdc00e-43b9-45f2-c060-695f5ce8a10a" }, "outputs": [ { "data": { "application/vnd.google.colaboratory.intrinsic+json": { "summary": "{\n \"name\": \"data\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"prompt\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \" You are part of the recommendations team. As a helpful assistant, aid in suggesting the colours for the wallpaper generator app, based on the user's preferences given. Suggest new wallpaper colours for the user based on the given preferences. Apply the guidlines as mentioned below, do not hallucinate the answer.The user preference is a table with their preferences denoted by like/dislike, and it is as follows: userAction\\tc1r\\tc1g\\tc1b\\tc2r\\tc2g\\tc2b\\tc3r\\tc3g\\tc3b\\tc4r\\tc4g\\tc4b\\n0\\tdislike\\t120\\t26\\t189\\t120\\t115\\t204\\t232\\t2\\t102\\t197\\t199\\t154\\n1\\tdislike\\t61\\t164\\t224\\t50\\t233\\t171\\t151\\t206\\t58\\t117\\t159\\t95\\n2\\tLike\\t232\\t179\\t112\\t61\\t240\\t185\\t51\\t11\\t253\\t38\\t129\\t130\\n3\\tdislike\\t100\\t112\\t183\\t80\\t186\\t112\\t1\\t129\\t219\\t53\\t86\\t228\\n4\\tLike\\t224\\t128\\t146\\t125\\t129\\t52\\t171\\t217\\t159\\t197\\t159\\t246\\n \\n Guidelines:\\n 1. Give a single colour combination output. Try not to give any already mentioned colour from the preference data.\\n 3. The output should be given as follows:\\n c1r : ## | c1g : ## | c1b: ## | respective colour name | respective colour hex-code\\n c2r : ## | c2g : ## | c2b: ## | respective colour name | respective colour hex-code\\n c3r : ## | c3g : ## | c3b: ## | respective colour name | respective colour hex-code\\n c4r : ## | c4g : ## | c4b: ## | respective colour name | respective colour hex-code\\n 4. Finally give a message suggesting a creative name for the wallpaper based on the colours said by you.\\n \",\n \" You are part of the recommendations team. As a helpful assistant, aid in suggesting the colours for the wallpaper generator app, based on the user's preferences given. Suggest new wallpaper colours for the user based on the given preferences. Apply the guidlines as mentioned below, do not hallucinate the answer.The user preference is a table with their preferences denoted by like/dislike, and it is as follows: userAction\\tc1r\\tc1g\\tc1b\\tc2r\\tc2g\\tc2b\\tc3r\\tc3g\\tc3b\\tc4r\\tc4g\\tc4b\\n0\\tLike\\t39\\t212\\t207\\t236\\t81\\t110\\t52\\t23\\t153\\t216\\t251\\t187\\n1\\tLike\\t236\\t40\\t156\\t14\\t44\\t64\\t88\\t70\\t8\\t87\\t128\\t235\\n2\\tLike\\t215\\t62\\t138\\t242\\t80\\t135\\t162\\t162\\t32\\t122\\t4\\t233\\n3\\tdislike\\t249\\t40\\t27\\t134\\t200\\t71\\t11\\t161\\t32\\t47\\t246\\t150\\n4\\tLike\\t215\\t36\\t98\\t171\\t103\\t213\\t218\\t34\\t192\\t226\\t100\\t174\\n \\n Guidelines:\\n 1. Give a single colour combination output. Try not to give any already mentioned colour from the preference data.\\n 3. The output should be given as follows:\\n c1r : ## | c1g : ## | c1b: ## | respective colour name | respective colour hex-code\\n c2r : ## | c2g : ## | c2b: ## | respective colour name | respective colour hex-code\\n c3r : ## | c3g : ## | c3b: ## | respective colour name | respective colour hex-code\\n c4r : ## | c4g : ## | c4b: ## | respective colour name | respective colour hex-code\\n 4. Finally give a message suggesting a creative name for the wallpaper based on the colours said by you.\\n \",\n \" You are part of the recommendations team. As a helpful assistant, aid in suggesting the colours for the wallpaper generator app, based on the user's preferences given. Suggest new wallpaper colours for the user based on the given preferences. Apply the guidlines as mentioned below, do not hallucinate the answer.The user preference is a table with their preferences denoted by like/dislike, and it is as follows: \\tuserAction\\tc1r\\tc1g\\tc1b\\tc2r\\tc2g\\tc2b\\tc3r\\tc3g\\tc3b\\tc4r\\tc4g\\tc4b\\n0\\tLike\\t130\\t0\\t4\\t217\\t246\\t254\\t141\\t102\\t26\\t136\\t206\\t14\\n1\\tLike\\t41\\t123\\t204\\t178\\t62\\t95\\t230\\t240\\t51\\t252\\t95\\t131\\n2\\tLike\\t228\\t150\\t230\\t236\\t142\\t170\\t28\\t35\\t12\\t159\\t70\\t186\\n3\\tdislike\\t85\\t27\\t65\\t169\\t44\\t61\\t184\\t244\\t133\\t27\\t27\\t107\\n4\\tLike\\t83\\t29\\t189\\t74\\t127\\t249\\t246\\t91\\t216\\t230\\t189\\t224\\n \\n Guidelines:\\n 1. Give a single colour combination output. Try not to give any already mentioned colour from the preference data.\\n 3. The output should be given as follows:\\n c1r : ## | c1g : ## | c1b: ## | respective colour name | respective colour hex-code\\n c2r : ## | c2g : ## | c2b: ## | respective colour name | respective colour hex-code\\n c3r : ## | c3g : ## | c3b: ## | respective colour name | respective colour hex-code\\n c4r : ## | c4g : ## | c4b: ## | respective colour name | respective colour hex-code\\n 4. Finally give a message suggesting a creative name for the wallpaper based on the colours said by you.\\n \"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"chosen\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"rejected\",\n \"properties\": {\n \"dtype\": \"object\",\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", "type": "dataframe", "variable_name": "data" }, "text/html": [ "\n", "
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0You are part of the recommendations team. As ...{'userAction': {0: 'dislike', 1: 'Like', 2: 'd...{'userAction': {0: 'dislike'}, 'c1r': {0: 100}...
1You are part of the recommendations team. As ...{'clickX': {0: 1211.1004452102018, 1: 1124.192...{'userAction': {0: 'dislike'}, 'c1r': {0: 240}...
2You are part of the recommendations team. As ...{'clickX': {0: 748.2682201121977, 1: 1958.9429...{'userAction': {0: 'like'}, 'c1r': {0: 178}, '...
3You are part of the recommendations team. As ...<bound method DataFrame.to_dict of c...{'userAction': {0: 'like'}, 'c1r': {0: 240}, '...
4You are part of the recommendations team. As ...{'clickX': {0: 193.9191718688944, 1: 142.45627...{'userAction': {0: 'like'}, 'c1r': {0: 123}, '...
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\n" ], "text/plain": [ " prompt \\\n", "0 You are part of the recommendations team. As ... \n", "1 You are part of the recommendations team. As ... \n", "2 You are part of the recommendations team. As ... \n", "3 You are part of the recommendations team. As ... \n", "4 You are part of the recommendations team. As ... \n", "\n", " chosen \\\n", "0 {'userAction': {0: 'dislike', 1: 'Like', 2: 'd... \n", "1 {'clickX': {0: 1211.1004452102018, 1: 1124.192... \n", "2 {'clickX': {0: 748.2682201121977, 1: 1958.9429... \n", "3 \u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpref_sample\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpush_to_hub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"KamalamSivakumar/pref_learning_sample\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[0;31mNameError\u001b[0m: name 'pref_sample' is not defined" ] } ], "source": [ "pref_sample.push_to_hub(\"KamalamSivakumar/pref_learning_sample\")" ] }, { "cell_type": "markdown", "id": "wvsjTuaIzaNB", "metadata": { "id": "wvsjTuaIzaNB" }, "source": [ "#### Loading the dataset from the huggingface hub." ] }, { "cell_type": "code", "execution_count": null, "id": "03834b9e", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 240, "referenced_widgets": [ "cc94d468bcd14954b99edbc9f3237db3", "4115cef75c1c4ce69f8a7f1ae8951b64", "b931c9775d4740738d3cc1ec4f18cfe4", "ef372c67a56540a7bfb4c3e6ad4c0721", "c036cac104ed472994a070392f0017df", "55754d259f084f579e2f053a6f4ea208", "dc65f7122e034403a3575bdff76f63c5", "3f8c2a853f494fdbb40b12ce518d97d3", "4b21d78f0ff44a35bd09b26f4abbd6be", "a4460dfb35eb4eab997a7099860ab27b", "4dea442cb6be453a80d4da49b98d237d", "e71eb40881f44ca0b75ac8d96844f75d", "38b6d8b822c147ebbd7c10ed12dc4961", "5762966df72d4047b276ae8ab87347e4", "4282ff3275ed47e490adb37d275682e1", "56dac2e2feba47e18750be215dd17ab7", "bc4f47b143de47e4a1d37df7bf30bdf5", "78de3ad3bf484e13b8268e94d73d0705", "9deff51f0c21463781f8e48587286f16", "387a4fed90064181aec27002c3f142e2", "b436ac8bd35140b091ed2e9df40cc9e0", "4cc2941d7ac94be2acf80bd37c7e7c9d", "162fb0b584554a54856b91dfdc22bc23", "f9864c23cc4f4da9a4b3e6fc2d4b856a", "af88cec23c0241418dcf66442207331f", "073eaf738dbc4059a949b9f41f810746", "92a9727491d64a508fe25f8e0aa11c03", "317011e48f0e4b66a50da8c312daea8c", "cb96bf44c8fd47649eba4a29168c46e7", "513e84a980ab4e948e3d0483fb856c22", "398d1d2f02394cb08f5d36334ad48d65", "d5eae5e27b4948f9b72b9ea979051fa2", "edf2a89884ff4637a8a4861887ec0439" ] }, "id": "03834b9e", "outputId": "7234ceb2-f7c1-493c-ed90-9ae2ce6cbf0f" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cc94d468bcd14954b99edbc9f3237db3", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading readme: 0%| | 0.00/339 [00:00\n", "
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