From 64f93291b587282a8f090eed60bd98ada4fdcfc3 Mon Sep 17 00:00:00 2001 From: ChrisW19 <58227421+ChrisW19@users.noreply.github.com> Date: Wed, 12 Mar 2025 13:34:11 -0700 Subject: [PATCH] Create Day5_Synthetic_Dataset_Generator.ipynb Creates a dataset for EV Drivers personal information and location. Allows for selection of where the driver is located. --- .../Day5_Synthetic_Dataset_Generator.ipynb | 4784 +++++++++++++++++ 1 file changed, 4784 insertions(+) create mode 100644 week3/community-contributions/Day5_Synthetic_Dataset_Generator.ipynb diff --git a/week3/community-contributions/Day5_Synthetic_Dataset_Generator.ipynb b/week3/community-contributions/Day5_Synthetic_Dataset_Generator.ipynb new file mode 100644 index 0000000..044acab --- /dev/null +++ b/week3/community-contributions/Day5_Synthetic_Dataset_Generator.ipynb @@ -0,0 +1,4784 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU", + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "4e96acd5f9b844828892423e01e985af": { + "model_module": "@jupyter-widgets/controls", + "model_name": "HBoxModel", + 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+ "\u001b[?25h" + ] + } + ], + "source": [ + "!pip install -q requests torch bitsandbytes transformers sentencepiece accelerate openai gradio" + ] + }, + { + "cell_type": "code", + "source": [ + "#imports\n", + "\n", + "import time\n", + "from io import StringIO\n", + "import torch\n", + "import numpy as np\n", + "import pandas as pd\n", + "import random\n", + "from openai import OpenAI\n", + "from sqlalchemy import create_engine\n", + "from google.colab import drive, userdata\n", + "import gradio as gr\n", + "from huggingface_hub import login\n", + "from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig" + ], + "metadata": { + "id": "JXpWOzKve7kr" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Model Constants\n", + "LLAMA = \"meta-llama/Meta-Llama-3.1-8B-Instruct\"" + ], + "metadata": { + "id": "rcv0lCS5GRPX" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Authentication\n", + "\n", + "hf_token = userdata.get(\"HF_TOKEN\")\n", + "openai_api_key = userdata.get(\"OPENAI_API_KEY\")\n", + "if not hf_token or not openai_api_key:\n", + " raise ValueError(\"Missing HF_TOKEN or OPENAI_API_KEY. Set them as environment variables.\")\n", + "\n", + "login(hf_token, add_to_git_credential=True)\n", + "openai = OpenAI(api_key=openai_api_key)" + ], + "metadata": { + "id": "3XS-s_CwFSQU" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Tokenizer Setup\n", + "\n", + "tokenizer = AutoTokenizer.from_pretrained(LLAMA)\n", + "tokenizer.pad_token = tokenizer.eos_token" + ], + "metadata": { + "id": "oRdmdzXoF_f9", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 113, + "referenced_widgets": [ + "4e96acd5f9b844828892423e01e985af", + "de1eda1f836f4524aa3f9946992b3518", + "11c7606385d9493a9f8e6844f91bf984", + "ce253fcd9ac744dc817132f40c5a4449", + "30bd0ada61fe44aaa355d8f8ba8608c9", + "f3a7735eff734c8fa6619cf55f9250fe", + "06f884acd7b84247a2b11f466986425b", + "b88f70ba045142a6b2f7432d0b198823", + "b4259e7cd7a9486b8e5241ac194773c8", + "8671c9fe95774ce393938e81e4ac0fea", + "c6c24948c71b4dae9b22f82d681f6d14", + "168db3ccd3584d8787372a430e81afc1", + "5dbe37818214460a883f8854a7a22ddd", + "10fbda2b3d854ef5b42f36a1e6886df0", + "5685b60bff9648ea9fbf426b6c6c34b7", + "1ee68b5cb4914705962a8efdd6f3089f", + "49cb0c97bcfb4be78e934120938e37f3", + "f8dbf020aa9f4d8fa29ce7657d980259", + "3e96b2e9fb6443dfaf289ecdc3ef6e86", + "f08e6a34891d4873a0fb7fcf8ef016c6", + "9ac1e95865934a7d8a71bc49c4c6d78e", + "83701fdbe9174a4f83ab0fa90da5c20b", + "aab110b0331242d0a2c103f15a3ac9bc", + "c8cb81d97dd14b8a84b7caf93cc94667", + "24c00069c1f4415fa6bd9b2eee09d53a", + "ce64d54649b84b71b420867452873172", + "4e2799deeb954c42ac88d2f52a021929", + "66e6db7334b241ad9519e28527c17ef0", + "ab9b46c7f454447cb7b4b97e48ad2dbd", + "2d74528d3e4947fc9588b635aa1a375e", + "4ca4229ff72a470a8984d91b3dd774aa", + "f7a40eeb26da47e38b9da249b97cb484", + "dc27afa005844dafafaf05431ec4d70f" + ] + }, + "outputId": "ad3d1ca1-b6c1-4456-c563-41c7eb1d283c" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "tokenizer_config.json: 0%| | 0.00/55.4k [00:00⚠️ Address type is required. Please select one.\",\n", + " gr.update(interactive=False, elem_classes=\"yellow_btn\")\n", + " )\n", + " # Return success message and set button to blue and enabled\n", + " return (\n", + " \"Ready to generate dataset.\",\n", + " gr.update(interactive=True, elem_classes=\"blue_btn\")\n", + " )\n" + ], + "metadata": { + "id": "z5pFDbnTz-fP" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Gradio UI\n", + "with gr.Blocks() as app:\n", + " gr.Markdown(\"## Dynamic CSV Dataset Viewer\")\n", + "\n", + " num_records_slider = gr.Slider(minimum=5, maximum=50, step=5, value=20, label=\"Number of Records\")\n", + "\n", + " with gr.Row(equal_height=True):\n", + " address_type_radio = gr.Radio(\n", + " [\"us_only\", \"international\", \"us_international\", \"americas\", \"europe\"],\n", + " value=\"\",\n", + " label=\"Address and Phone Type\",\n", + " info=\"Select the type of addresses and phone numbers\"\n", + " )\n", + " status_text = gr.Markdown(\n", + " \"⚠️ Please select an address type above to proceed.\",\n", + " elem_id=\"status_text\"\n", + " )\n", + "\n", + " generate_btn = gr.Button(\"Generate Data\", interactive=True, elem_id=\"generate_btn\")\n", + "\n", + " response_text = gr.Textbox(value=\"\", label=\"Generated Driver List CSV\", interactive=False)\n", + " dataframe_output = gr.Dataframe(value=pd.DataFrame(), label=\"Generated Driver List Dataset\")\n", + "\n", + " # Update status text and button style dynamically\n", + " address_type_radio.change(fn=check_address_selection, inputs=[address_type_radio], outputs=[status_text, generate_btn])\n", + "\n", + " generate_btn.click(update_dataset, inputs=[num_records_slider, address_type_radio], outputs=[dataframe_output, response_text])\n", + "\n", + " # Custom CSS for button colors\n", + " app.css = \"\"\"\n", + " .blue_btn {\n", + " background-color: green;\n", + " color: white;\n", + " }\n", + " \"\"\"\n", + "\n", + "app.launch(share=True) # Ensure sharing is enabled in Colab" + ], + "metadata": { + "id": "z3K6PfAiL2ZA", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 591 + }, + "outputId": "50cd6ee9-8229-4f58-ad1f-da67990dfc28" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n", + "* Running on public URL: https://2d1cc8e9fab628c1ca.gradio.live\n", + "\n", + "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "" + ], + "text/html": [ + "
" + ] + }, + "metadata": {} + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [] + }, + "metadata": {}, + "execution_count": 16 + } + ] + } + ] +} \ No newline at end of file