82 lines
2.1 KiB
Plaintext
82 lines
2.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<div>\n",
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" <img src=\"https://user-images.githubusercontent.com/1991296/230134379-7181e485-c521-4d23-a0d6-f7b3b61ba524.png\" width=\"500\"/>\n",
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"</div>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"{'text': 'Llama C++'}\n"
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]
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}
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],
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"source": [
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"from openai import OpenAI\n",
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"\n",
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"client = OpenAI(base_url=\"http://100.64.159.73:8000/v1\", api_key=\"sk-1234\")\n",
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"response = client.chat.completions.create(\n",
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" model=\"gpt-4-vision-preview\",\n",
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" messages=[\n",
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" {\n",
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" \"role\": \"user\",\n",
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" \"content\": [\n",
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" {\n",
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" \"type\": \"image_url\",\n",
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" \"image_url\": {\n",
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" \"url\": \"https://user-images.githubusercontent.com/1991296/230134379-7181e485-c521-4d23-a0d6-f7b3b61ba524.png\",\n",
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" },\n",
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" },\n",
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" {\"type\": \"text\", \"text\": \"What does the image say. Format your response as a json object with a single 'text' key.\"},\n",
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" ],\n",
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" }\n",
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" ],\n",
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" response_format={ \"type\": \"json_object\" }\n",
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")\n",
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"import json\n",
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"print(json.loads(response.choices[0].message.content))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.5+"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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