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69 lines
1.8 KiB
Plaintext
69 lines
1.8 KiB
Plaintext
{
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"cells": [
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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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"import os\n",
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"from azure.ai.inference import ChatCompletionsClient\n",
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"from azure.ai.inference.models import SystemMessage, UserMessage\n",
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"from azure.core.credentials import AzureKeyCredential\n",
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"\n",
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"# Get these from your Microsoft Foundry project's \"Overview\" page\n",
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"# (GitHub Models is retiring end of July 2026 - see https://ai.azure.com/catalog/models)\n",
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"token = os.environ[\"AZURE_INFERENCE_CREDENTIAL\"]\n",
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"endpoint = os.environ[\"AZURE_INFERENCE_ENDPOINT\"]\n",
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"\n",
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"client = ChatCompletionsClient(\n",
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" endpoint=endpoint,\n",
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" credential=AzureKeyCredential(token),\n",
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")\n",
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"\n",
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"model_name = \"gpt-4o-mini\"\n"
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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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"# Create your first prompt\n",
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"text_prompt = \" My foot hurts, what can be wrong?\"\n",
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"\n",
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"response = client.complete(\n",
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" model=model_name,\n",
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" messages = [\n",
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" {\"role\":\"system\", \"content\":\"I'm a doctor, specialist on surgery\"},\n",
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" {\"role\":\"user\",\"content\":text_prompt},])\n",
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"\n",
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"response.choices[0].message.content"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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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": "3.12.4"
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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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