clarifai-grpc 0.1.1

Clarifai gRPC API Client

Clarifai Python gRPC Client

This is the official Clarifai gRPC Python client for interacting with our powerful recognition API. The Clarifai API offers image and video recognition as a service. Whether you have one image or billions, you are only steps away from using artificial intelligence to recognize your visual content.

• Try the Clarifai demo at: https://clarifai.com/demo
• Sign up for a free account at: https://portal.clarifai.com/signup
• Read the documentation at: https://docs.clarifai.com/

Installation

pip install clarifai-grpc

Getting started

Alternatively to using the gRPC channel, it is also possible to use the HTTP+JSON channel with the exact same request / response handling code.

Construct the channel you want to use:

from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel

# Construct one of the channels you want to use
channel = ClarifaiChannel.get_json_channel()
channel = ClarifaiChannel.get_insecure_grpc_channel()

# Note: You can also use a secure (encrypted) ClarifaiChannel.get_grpc_channel() however
# it is currently not possible to use it with the latest gRPC version.

Predict concepts in an image:

from clarifai_grpc.grpc.api import service_pb2_grpc, service_pb2, resources_pb2
from clarifai_grpc.grpc.api.status import status_code_pb2

stub = service_pb2_grpc.V2Stub(channel)

request = service_pb2.PostModelOutputsRequest(
    model_id='aaa03c23b3724a16a56b629203edc62c',
    inputs=[
      resources_pb2.Input(data=resources_pb2.Data(image=resources_pb2.Image(url='YOUR_IMAGE_URL')))
    ])
metadata = (('authorization', 'Key YOUR_CLARIFAI_API_KEY'),)

response = stub.PostModelOutputs(request, metadata=metadata)

if response.status.code != status_code_pb2.SUCCESS:
  raise Exception("Request failed, status code: " + str(response.status.code))


for concept in response.outputs[0].data.concepts:
    print('%12s: %.2f' % (concept.name, concept.value))