docs/examples/deepseek_demo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Using Vision Parse with DeepSeek"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook demonstrates how to use Vision Parse with DeepSeek."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install 'vision-parse[openai]' -Uqq # install the vision-parse package with openai"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from vision_parse import VisionParser\n",
    "import os\n",
    "\n",
    "# Initialize parser\n",
    "parser = VisionParser(\n",
    "    model_name=\"deepseek-chat\",\n",
    "    api_key=os.getenv(\"DEEPSEEK_API_KEY\"),\n",
    "    temperature=0.9,\n",
    "    top_p=0.4,\n",
    "    image_mode=None,\n",
    "    detailed_extraction=True,\n",
    "    enable_concurrency=True,\n",
    ")\n",
    "\n",
    "pdf_path = \"../tests/Texas-Holdem-Rules.pdf\"\n",
    "markdown_pages = parser.convert_pdf(pdf_path)\n",
    "\n",
    "# Print the markdown pages\n",
    "for i, page_content in enumerate(markdown_pages):\n",
    "    print(f\"\\n--- Page {i+1} ---\\n{page_content}\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "personal",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "name": "python",
   "version": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}