qwen_server.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "\n",
    "from llamavision import filepath_to_base64\n",
    "\n",
    "filepath = \"imgs/impulse.png\"\n",
    "print(filepath_to_base64(filepath)[:10], \"...\", filepath_to_base64(filepath)[-10:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "response_format_graph = {\n",
    "      \"type\": \"json_schema\",\n",
    "      \"json_schema\": {\n",
    "        \"name\": \"parse_graph_response\",\n",
    "        \"strict\": \"true\",\n",
    "        \"schema\": {\n",
    "          \"type\": \"object\",\n",
    "          \"properties\": {\n",
    "            \"x-tickmarks\": {\n",
    "              \"type\": \"string\",\n",
    "              \"description\": \"The tickmarks on the x-axis\"\n",
    "            },\n",
    "            \"y-tickmarks\": {\n",
    "              \"type\": \"string\",\n",
    "              \"description\": \"The tickmarks on the y-axis\"\n",
    "            },\n",
    "            \"image-summary\": {\n",
    "              \"type\": \"string\",\n",
    "              \"description\": \"A summary of the image generated by the assistant\"\n",
    "            }\n",
    "          },\n",
    "        \"required\": [\"x-tickmarks\", \"y-tickmarks\", \"image-summary\"]\n",
    "        }\n",
    "      }\n",
    "    }\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "headers = {\n",
    "    'Content-Type': 'application/json',\n",
    "}\n",
    "image_path = 'imgs/impulse.png'\n",
    "image_url = filepath_to_base64(image_path)\n",
    "\n",
    "json_data = {\n",
    "    'model': 'mlx-community/Qwen2-VL-7B-Instruct-8bit',\n",
    "    'messages': [\n",
    "        {\n",
    "            'role': 'user',\n",
    "            'content': [\n",
    "                {\n",
    "                    'type': 'text',\n",
    "                    'text': 'Extract information from the image and return it as a JSON object.',\n",
    "                },\n",
    "                {\n",
    "                    'type': 'image_url',\n",
    "                    'image_url': {\n",
    "                        'url': f'data:image/png;base64,{image_url}',\n",
    "                    },\n",
    "                },\n",
    "            ],\n",
    "        },\n",
    "    ],\n",
    "    'response_format': response_format_graph,\n",
    "    'temperature': 0.7,\n",
    "    'max_tokens': -1,\n",
    "    'stream': False,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "response = requests.post('http://127.0.0.1:1234/v1/chat/completions', headers=headers, json=json_data)\n",
    "response_data = response.json()\n",
    "for item in response_data:\n",
    "    print(item, response_data[item])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quiz submissions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fields: \"student_name\", \"university_id\", \"section_number\", \"problem_number\", \"problem_description\", \"student_handwritten_work\", \"page_number\"\n",
    "\n",
    "response_format_quiz_submission = {\n",
    "      \"type\": \"json_schema\",\n",
    "      \"json_schema\": {\n",
    "        \"name\": \"parse_quiz_submission_response\",\n",
    "        \"strict\": \"true\",\n",
    "        \"schema\": {\n",
    "          \"type\": \"object\",\n",
    "          \"properties\": {\n",
    "            \"student_name\": {\n",
    "              \"type\": \"string\",\n",
    "              \"description\": \"The handwritten name of the student\"\n",
    "            },\n",
    "            \"ufid\": {\n",
    "              \"type\": \"string\",\n",
    "              \"description\": \"The handwritten 8-digit university ID of the student\"\n",
    "            },\n",
    "            \"section_number\": {\n",
    "              \"type\": \"string\",\n",
    "              \"description\": \"The handwritten 5-digit section number\"\n",
    "            },\n",
    "            \"problem_number\": {\n",
    "              \"type\": \"number\",\n",
    "              \"description\": \"The problem number that appears on the problem description\"\n",
    "            },\n",
    "            \"problem_description\": {\n",
    "              \"type\": \"string\",\n",
    "              \"description\": \"The description of the problem\"\n",
    "            },\n",
    "            \"student_handwritten_work\": {\n",
    "              \"type\": \"string\",\n",
    "              \"description\": \"The step-by-step handwritten work of the student\"\n",
    "            },\n",
    "            \"page_number\": {\n",
    "              \"type\": \"number\",\n",
    "              \"description\": \"The page number of the student's work\"\n",
    "            }\n",
    "          },\n",
    "        \"required\": [\"student_name\", \"ufid\", \"section_number\", \"problem_number\", \"problem_description\", \"student_handwritten_work\", \"page_number\"]\n",
    "        }\n",
    "      }\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "headers = {\n",
    "    'Content-Type': 'application/json',\n",
    "}\n",
    "image_path = 'imgs/sub-page-3.png'\n",
    "image_url = filepath_to_base64(image_path)\n",
    "\n",
    "json_data = {\n",
    "    'model': 'mlx-community/Qwen2-VL-7B-Instruct-8bit',\n",
    "    'messages': [\n",
    "        {\n",
    "            'role': 'user',\n",
    "            'content': [\n",
    "                {\n",
    "                    'type': 'image_url',\n",
    "                    'image_url': {\n",
    "                        'url': f'data:image/png;base64,{image_url}',\n",
    "                    },\n",
    "                },\n",
    "            ],\n",
    "        },\n",
    "    ],\n",
    "    # 'temperature': 0.7,\n",
    "    # 'max_tokens': -1,\n",
    "    'stream': False,\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "response = requests.post('http://127.0.0.1:1234/v1/chat/completions', headers=headers, json=json_data)\n",
    "response_data = response.json()\n",
    "for item in response_data:\n",
    "    print(item, response_data[item])"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "openwebui",
   "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": "3.11.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}