Clarifai API Python Client
This Python client provides a simple wrapper around our powerful image recognition API.
The client supports basic tagging with existing models.
The client also uses Applications to store images and visually search across them. You can either do a simple visual search or also add predictions for any, all or none, as noted in the directions below.
- Try the Clarifai demo at: https://clarifai.com/demo
- Sign up for a free account at: https://clarifai.com/developer/account/signup/
- Read the developer guide at: https://clarifai.com/developer/guide/
The API client is available on Pip. You can simply install it with a
pip install clarifai --upgrade
For more details on the installation, please refer to https://clarifai-python.readthedocs.io/en/latest/install/
The client uses your "CLARIFAI_API_KEY" to get an access token. Since this expires every so often, the client is setup to renew the token for you automatically using your credentials so you don't have to worry about it.
You can get the
api_key from https://developer.clarifai.com and config them for client's use by
$ clarifai config CLARIFAI_API_KEY: : ************************************YQEd
The config will be stored under ~/.clarifai/config for client's use
Environmental variable CLARIFAI_API_KEY will override the settings in the config file.
For AWS or Windows users, please refer to https://clarifai-python.readthedocs.io/en/latest/install/ for more instructions.
The following example will setup the client and predict from our general model
from clarifai.rest import ClarifaiApp app = ClarifaiApp() model = app.public_models.general_model response = model.predict_by_url(url='https://samples.clarifai.com/metro-north.jpg')
If wanting to predict a local file, use
The response is a JSON structure. Here's how to print all the predicted concepts associated with the image, together with their confidence values.
concepts = response['outputs']['data']['concepts'] for concept in concepts: print(concept['name'], concept['value'])
Read more code examples and references at https://clarifai-python.readthedocs.io/en/latest/