{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used.\n"
     ]
    }
   ],
   "source": [
    "import pickle\n",
    "import datasets\n",
    "from renumics import spotlight\n",
    "from renumics.spotlight import dtypes as spotlight_dtypes\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset loaded using datasets.load_dataset().\n"
     ]
    }
   ],
   "source": [
    "dataset_name=\"ai-aerospace/ac-text-embedding-ada-002-ams-test\"\n",
    "dataset = datasets.load_dataset(dataset_name, split=\"train\")\n",
    "print(\"Dataset loaded using datasets.load_dataset().\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "view = spotlight.show(dataset, port=7860, host=\"0.0.0.0\", \n",
    "            dtype={\"used_by_questions\": spotlight_dtypes.SequenceDType(spotlight_dtypes.str_dtype)}, \n",
    "            allow_filebrowsing=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": ".venv",
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   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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