aab74f0b2b
* llava v1.5 integration * Point llama.cpp to fork * Add llava shared library target * Fix type * Update llama.cpp * Add llava api * Revert changes to llama and llama_cpp * Update llava example * Add types for new gpt-4-vision-preview api * Fix typo * Update llama.cpp * Update llama_types to match OpenAI v1 API * Update ChatCompletionFunction type * Reorder request parameters * More API type fixes * Even More Type Updates * Add parameter for custom chat_handler to Llama class * Fix circular import * Convert to absolute imports * Fix * Fix pydantic Jsontype bug * Accept list of prompt tokens in create_completion * Add llava1.5 chat handler * Add Multimodal notebook * Clean up examples * Add server docs --------- Co-authored-by: Andrei Betlen <abetlen@gmail.com>
84 lines
2.6 KiB
Text
84 lines
2.6 KiB
Text
{
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"cells": [
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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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"ChatCompletion(id='chatcmpl-65a710ba-41d1-4d0a-a124-a44b2b4a0189', choices=[Choice(finish_reason='stop', index=0, message=ChatCompletionMessage(content=' The image reads \"LlamaC++.\"', role='assistant', function_call=None, tool_calls=None))], created=1699413274, model='gpt-4-vision-preview', object='chat.completion', system_fingerprint=None, usage=CompletionUsage(completion_tokens=10, prompt_tokens=624, total_tokens=634))\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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"import urllib.request\n",
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"import base64\n",
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"\n",
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"def get_data_url(url):\n",
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" return \"data:image/png;base64,\" + base64.b64encode(urllib.request.urlopen(url).read()).decode(\"utf-8\")\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\": get_data_url(\"https://user-images.githubusercontent.com/1991296/230134379-7181e485-c521-4d23-a0d6-f7b3b61ba524.png\"),\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\"},\n",
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" ],\n",
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" }\n",
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" ],\n",
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")\n",
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"print(response)"
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]
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},
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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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""
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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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