{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", " \n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "{'text': 'Llama C++'}\n" ] } ], "source": [ "from openai import OpenAI\n", "\n", "client = OpenAI(base_url=\"http://100.64.159.73:8000/v1\", api_key=\"sk-1234\")\n", "response = client.chat.completions.create(\n", " model=\"gpt-4-vision-preview\",\n", " messages=[\n", " {\n", " \"role\": \"user\",\n", " \"content\": [\n", " {\n", " \"type\": \"image_url\",\n", " \"image_url\": {\n", " \"url\": \"https://user-images.githubusercontent.com/1991296/230134379-7181e485-c521-4d23-a0d6-f7b3b61ba524.png\",\n", " },\n", " },\n", " {\"type\": \"text\", \"text\": \"What does the image say. Format your response as a json object with a single 'text' key.\"},\n", " ],\n", " }\n", " ],\n", " response_format={ \"type\": \"json_object\" }\n", ")\n", "import json\n", "print(json.loads(response.choices[0].message.content))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": ".venv", "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": "3.11.5+" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }