mirror of
https://github.com/microsoft/semantic-kernel.git
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0a477b198c
### Motivation and Context text-davinci-003 is being retired by Azure OpenAI and is no longer supported for new deployments Resolves - https://github.com/microsoft/semantic-kernel/issues/2309 <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> ### Description Update examples and notebooks to use gpt-35-turbo / gpt-3.5-turbo instead <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [ ] The code builds clean without any errors or warnings - [ ] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [ ] All unit tests pass, and I have added new tests where possible - [ ] I didn't break anyone 😄 Signed-off-by: karthikmurali60 <[email protected]> Co-authored-by: Lee Miller <[email protected]> Co-authored-by: Gil LaHaye <[email protected]>
139 lines
3.3 KiB
Plaintext
139 lines
3.3 KiB
Plaintext
{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Setup\n",
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"\n",
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"**Step 1**: Import Semantic Kernel SDK from pypi.org"
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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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"!python -m pip install semantic-kernel==0.3.1.dev0"
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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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"import semantic_kernel as sk\n",
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"\n",
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"kernel = sk.Kernel()"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Option 1: using OpenAI\n",
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"\n",
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"**Step 2**: Add your [Open AI Key](https://openai.com/api/) key to a `.env` file in the same folder (org Id only if you have multiple orgs):\n",
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"\n",
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"```\n",
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"OPENAI_API_KEY=\"sk-...\"\n",
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"OPENAI_ORG_ID=\"\"\n",
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"```\n",
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"\n",
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"and add OpenAI Chat Completion to the kernel:"
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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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"from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion\n",
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"\n",
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"api_key, org_id = sk.openai_settings_from_dot_env()\n",
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"\n",
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"kernel.add_chat_service(\"chat-gpt\", OpenAIChatCompletion(\"gpt-3.5-turbo\", api_key, org_id))"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Option 2: using Azure OpenAI\n",
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"\n",
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"**Step 2**: Add your [Azure Open AI Service key](https://learn.microsoft.com/azure/cognitive-services/openai/quickstart?pivots=programming-language-studio) settings to a `.env` file in the same folder:\n",
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"\n",
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"```\n",
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"AZURE_OPENAI_API_KEY=\"...\"\n",
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"AZURE_OPENAI_ENDPOINT=\"https://...\"\n",
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"AZURE_OPENAI_DEPLOYMENT_NAME=\"...\"\n",
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"```\n",
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"\n",
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"and add Azure OpenAI Chat Completion to the kernel:"
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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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"from semantic_kernel.connectors.ai.open_ai import AzureChatCompletion\n",
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"\n",
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"deployment, api_key, endpoint = sk.azure_openai_settings_from_dot_env()\n",
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"\n",
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"kernel.add_chat_service(\"chat_completion\", AzureChatCompletion(\"gpt-35-turbo\", endpoint, api_key))\n"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Run a Semantic Function\n",
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"\n",
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"**Step 3**: Load a Skill and run a semantic function:"
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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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"skill = kernel.import_semantic_skill_from_directory(\"../../samples/skills\", \"FunSkill\")\n",
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"joke_function = skill[\"Joke\"]\n",
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"\n",
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"print(joke_function(\"time travel to dinosaur age\"))"
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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 (ipykernel)",
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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": "3.10.10"
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}
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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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