Python example app from the OpenAI API quickstart tutorial
1,817
stars
34
commits
Jun 14, 2024
updated
This repository hosts multiple quickstart apps for different OpenAI API endpoints (chat, assistants, etc). Check out the examples folder to try out different examples and get started using the OpenAI API.
To send your first API request with the OpenAI Python SDK, make sure you have the right dependencies installed and then run the following code:
from openai import OpenAI
client = OpenAI()
completion = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"}
]
)
print(completion.choices[0].message)
If you don’t have Python installed, install it from Python.org.
Clone this repository.
Navigate into the project directory:
$ cd openai-quickstart-python
Create a new virtual environment:
macOS:
$ python -m venv venv
$ . venv/bin/activate
Windows:
> python -m venv venv
> .\venv\Scripts\activate
Install the requirements:
$ pip install -r requirements.txt
Make a copy of the example environment variables file:
$ cp .env.example .env
Add your API key to the newly created .env file.
Run the app:
This step depends on the app itself. If the code uses flask (like the chat-basic example), you can run:
$ flask run
You should now be able to access the app from your browser at the following URL: http://localhost:5000!
If the code is just a simple Python script, you can run it with:
$ python my_file.py
Python example app from the OpenAI API quickstart tutorial
1,817
stars
34
commits
Jun 14, 2024
updated
This repository hosts multiple quickstart apps for different OpenAI API endpoints (chat, assistants, etc). Check out the examples folder to try out different examples and get started using the OpenAI API.
To send your first API request with the OpenAI Python SDK, make sure you have the right dependencies installed and then run the following code:
from openai import OpenAI
client = OpenAI()
completion = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"}
]
)
print(completion.choices[0].message)
If you don’t have Python installed, install it from Python.org.
Clone this repository.
Navigate into the project directory:
$ cd openai-quickstart-python
Create a new virtual environment:
macOS:
$ python -m venv venv
$ . venv/bin/activate
Windows:
> python -m venv venv
> .\venv\Scripts\activate
Install the requirements:
$ pip install -r requirements.txt
Make a copy of the example environment variables file:
$ cp .env.example .env
Add your API key to the newly created .env file.
Run the app:
This step depends on the app itself. If the code uses flask (like the chat-basic example), you can run:
$ flask run
You should now be able to access the app from your browser at the following URL: http://localhost:5000!
If the code is just a simple Python script, you can run it with:
$ python my_file.py