wehub-resource-sync
48 lines
1.5 KiB
Markdown
48 lines
1.5 KiB
Markdown
# SK Python Documentation Examples
|
|
|
|
This project contains a collection of examples used in documentation on [learn.microsoft.com](https://learn.microsoft.com/en-us/semantic-kernel/).
|
|
|
|
## Prerequisites
|
|
|
|
- [Python](https://www.python.org/downloads/) 3.10 and above
|
|
- Install Semantic Kernel through PyPi:
|
|
```bash
|
|
pip install semantic-kernel
|
|
```
|
|
|
|
## Configuring the sample
|
|
|
|
The samples can be configured with a `.env` file in the project which holds api keys and other secrets and configurations.
|
|
|
|
Make sure you have an
|
|
[Open AI API Key](https://platform.openai.com) or
|
|
[Azure Open AI service key](https://azure.microsoft.com/en-us/products/ai-services/openai-service)
|
|
|
|
Copy the `.env.example` file to a new file named `.env`. Then, copy those keys into the `.env` file:
|
|
|
|
```
|
|
GLOBAL_LLM_SERVICE="OpenAI" # Toggle between "OpenAI" or "AzureOpenAI"
|
|
|
|
OPENAI_CHAT_MODEL_ID="gpt-3.5-turbo-0125"
|
|
OPENAI_TEXT_MODEL_ID="gpt-3.5-turbo-instruct"
|
|
OPENAI_API_KEY=""
|
|
OPENAI_ORG_ID=""
|
|
|
|
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="gpt-35-turbo"
|
|
AZURE_OPENAI_TEXT_DEPLOYMENT_NAME="gpt-35-turbo-instruct"
|
|
AZURE_OPENAI_ENDPOINT=""
|
|
AZURE_OPENAI_API_KEY=""
|
|
AZURE_OPENAI_API_VERSION=""
|
|
```
|
|
|
|
_Note: if running the examples with VSCode, it will look for your .env file at the main root of the repository._
|
|
|
|
## Running the sample
|
|
|
|
To run the console application within Visual Studio Code, just hit `F5`.
|
|
Otherwise the sample can be run via the command line:
|
|
|
|
```
|
|
python.exe <absolute_path_to_sk_code>/python/samples/learn_resources/plugin.py
|
|
```
|