{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "aa99a013",
   "metadata": {},
   "outputs": [],
   "source": [
    "from vlmeval.config import supported_VLM\n",
    "# model = supported_VLM['idefics_9b_instruct']()\n",
    "# # Forward Single Image\n",
    "# ret = model.generate(['assets/apple.jpg', 'What is in this image?'])\n",
    "# print(ret)  # The image features a red apple with a leaf on it.\n",
    "# # Forward Multiple Images\n",
    "# ret = model.generate(['assets/apple.jpg', 'assets/apple.jpg', 'How many apples are there in the provided images? '])\n",
    "# print(ret)  # There are two apples in the provided images."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "61d8dad5",
   "metadata": {},
   "outputs": [],
   "source": [
    "list_model_names = list(supported_VLM.keys())\n",
    "with open('models.txt', 'w') as f:\n",
    "    for model_name in list_model_names:\n",
    "        f.write(model_name + '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "83c056a8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4bb9ee50",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "197a3276",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e64d4702",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\u001b[33mWARNING: Ignoring invalid distribution -ransformers (/dscilab_dungvo/workspace/bin/envs/vlmeval/lib/python3.10/site-packages)\u001b[0m\u001b[33m\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "%%bash\n",
    "# export pip and conda requirements\n",
    "pip freeze > requirements_dev.txt\n",
    "conda list --export > requirements_conda.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f535b249",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "vlmeval",
   "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}