%global _empty_manifest_terminate_build 0 Name: python-clarifai-grpc Version: 9.4.0 Release: 1 Summary: Clarifai gRPC API Client License: Apache 2.0 URL: https://github.com/Clarifai/clarifai-python-grpc Source0: https://mirrors.nju.edu.cn/pypi/web/packages/2e/63/88406364024d7bd3617cb1630a29aeb6a479fdd4784cd60862e619014fb3/clarifai-grpc-9.4.0.tar.gz BuildArch: noarch Requires: python3-grpcio Requires: python3-protobuf Requires: python3-googleapis-common-protos Requires: python3-requests %description ![Clarifai logo](docs/logo.png) # Clarifai Python gRPC Client This is the official Clarifai gRPC Python client for interacting with our powerful recognition [API](https://docs.clarifai.com). Clarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire artificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision and natural language processing. * 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/ [![PyPI version](https://pypip.in/v/clarifai-grpc/badge.png)](https://pypi.python.org/pypi/clarifai-grpc) [![Build](https://github.com/Clarifai/clarifai-python-grpc/workflows/Run%20tests/badge.svg)](https://github.com/Clarifai/clarifai-python-grpc/actions) ## Installation ```cmd python -m pip install clarifai-grpc ``` ## Versioning This library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and whenever the API gets updated, this library follows it. The third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes. ## Getting started Construct the `V2Stub` object using which you'll access all the Clarifai API functionality: ```python from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel from clarifai_grpc.grpc.api import service_pb2_grpc stub = service_pb2_grpc.V2Stub(ClarifaiChannel.get_grpc_channel()) ``` > Alternatives to the encrypted gRPC channel (`ClarifaiChannel.get_grpc_channel()`) are: > - the HTTPS+JSON channel (`ClarifaiChannel.get_json_channel()`), and > - the unencrypted gRPC channel (`ClarifaiChannel.get_insecure_grpc_channel()`). > > We only recommend them in special cases. Predict concepts in an image: ```python from clarifai_grpc.grpc.api import service_pb2, resources_pb2 from clarifai_grpc.grpc.api.status import status_code_pb2 YOUR_CLARIFAI_API_KEY = "???" YOUR_APPLICATION_ID = "???" SAMPLE_URL = "https://samples.clarifai.com/metro-north.jpg" # This is how you authenticate. metadata = (("authorization", f"Key {YOUR_CLARIFAI_API_KEY}"),) request = service_pb2.PostModelOutputsRequest( # This is the model ID of a publicly available General model. You may use any other public or custom model ID. model_id="general-image-recognition", user_app_id=resources_pb2.UserAppIDSet(app_id=YOUR_APPLICATION_ID), inputs=[ resources_pb2.Input( data=resources_pb2.Data(image=resources_pb2.Image(url=SAMPLE_URL)) ) ], ) response = stub.PostModelOutputs(request, metadata=metadata) if response.status.code != status_code_pb2.SUCCESS: print(response) raise Exception(f"Request failed, status code: {response.status}") for concept in response.outputs[0].data.concepts: print("%12s: %.2f" % (concept.name, concept.value)) ``` See [the Clarifai API documentation](https://docs.clarifai.com/) for all available functionality. ## Troubleshooting #### I get the following error when installing the library: `Failed building wheel for grpcio` Try upgrading **setuptools** to a version `40.7.1` or higher. ``` pip install --upgrade setuptools ``` Source: https://github.com/grpc/grpc/issues/17829 %package -n python3-clarifai-grpc Summary: Clarifai gRPC API Client Provides: python-clarifai-grpc BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-clarifai-grpc ![Clarifai logo](docs/logo.png) # Clarifai Python gRPC Client This is the official Clarifai gRPC Python client for interacting with our powerful recognition [API](https://docs.clarifai.com). Clarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire artificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision and natural language processing. * 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/ [![PyPI version](https://pypip.in/v/clarifai-grpc/badge.png)](https://pypi.python.org/pypi/clarifai-grpc) [![Build](https://github.com/Clarifai/clarifai-python-grpc/workflows/Run%20tests/badge.svg)](https://github.com/Clarifai/clarifai-python-grpc/actions) ## Installation ```cmd python -m pip install clarifai-grpc ``` ## Versioning This library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and whenever the API gets updated, this library follows it. The third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes. ## Getting started Construct the `V2Stub` object using which you'll access all the Clarifai API functionality: ```python from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel from clarifai_grpc.grpc.api import service_pb2_grpc stub = service_pb2_grpc.V2Stub(ClarifaiChannel.get_grpc_channel()) ``` > Alternatives to the encrypted gRPC channel (`ClarifaiChannel.get_grpc_channel()`) are: > - the HTTPS+JSON channel (`ClarifaiChannel.get_json_channel()`), and > - the unencrypted gRPC channel (`ClarifaiChannel.get_insecure_grpc_channel()`). > > We only recommend them in special cases. Predict concepts in an image: ```python from clarifai_grpc.grpc.api import service_pb2, resources_pb2 from clarifai_grpc.grpc.api.status import status_code_pb2 YOUR_CLARIFAI_API_KEY = "???" YOUR_APPLICATION_ID = "???" SAMPLE_URL = "https://samples.clarifai.com/metro-north.jpg" # This is how you authenticate. metadata = (("authorization", f"Key {YOUR_CLARIFAI_API_KEY}"),) request = service_pb2.PostModelOutputsRequest( # This is the model ID of a publicly available General model. You may use any other public or custom model ID. model_id="general-image-recognition", user_app_id=resources_pb2.UserAppIDSet(app_id=YOUR_APPLICATION_ID), inputs=[ resources_pb2.Input( data=resources_pb2.Data(image=resources_pb2.Image(url=SAMPLE_URL)) ) ], ) response = stub.PostModelOutputs(request, metadata=metadata) if response.status.code != status_code_pb2.SUCCESS: print(response) raise Exception(f"Request failed, status code: {response.status}") for concept in response.outputs[0].data.concepts: print("%12s: %.2f" % (concept.name, concept.value)) ``` See [the Clarifai API documentation](https://docs.clarifai.com/) for all available functionality. ## Troubleshooting #### I get the following error when installing the library: `Failed building wheel for grpcio` Try upgrading **setuptools** to a version `40.7.1` or higher. ``` pip install --upgrade setuptools ``` Source: https://github.com/grpc/grpc/issues/17829 %package help Summary: Development documents and examples for clarifai-grpc Provides: python3-clarifai-grpc-doc %description help ![Clarifai logo](docs/logo.png) # Clarifai Python gRPC Client This is the official Clarifai gRPC Python client for interacting with our powerful recognition [API](https://docs.clarifai.com). Clarifai provides a platform for data scientists, developers, researchers and enterprises to master the entire artificial intelligence lifecycle. Gather valuable business insights from images, video and text using computer vision and natural language processing. * 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/ [![PyPI version](https://pypip.in/v/clarifai-grpc/badge.png)](https://pypi.python.org/pypi/clarifai-grpc) [![Build](https://github.com/Clarifai/clarifai-python-grpc/workflows/Run%20tests/badge.svg)](https://github.com/Clarifai/clarifai-python-grpc/actions) ## Installation ```cmd python -m pip install clarifai-grpc ``` ## Versioning This library doesn't use semantic versioning. The first two version numbers (`X.Y` out of `X.Y.Z`) follow the API (backend) versioning, and whenever the API gets updated, this library follows it. The third version number (`Z` out of `X.Y.Z`) is used by this library for any independent releases of library-specific improvements and bug fixes. ## Getting started Construct the `V2Stub` object using which you'll access all the Clarifai API functionality: ```python from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel from clarifai_grpc.grpc.api import service_pb2_grpc stub = service_pb2_grpc.V2Stub(ClarifaiChannel.get_grpc_channel()) ``` > Alternatives to the encrypted gRPC channel (`ClarifaiChannel.get_grpc_channel()`) are: > - the HTTPS+JSON channel (`ClarifaiChannel.get_json_channel()`), and > - the unencrypted gRPC channel (`ClarifaiChannel.get_insecure_grpc_channel()`). > > We only recommend them in special cases. Predict concepts in an image: ```python from clarifai_grpc.grpc.api import service_pb2, resources_pb2 from clarifai_grpc.grpc.api.status import status_code_pb2 YOUR_CLARIFAI_API_KEY = "???" YOUR_APPLICATION_ID = "???" SAMPLE_URL = "https://samples.clarifai.com/metro-north.jpg" # This is how you authenticate. metadata = (("authorization", f"Key {YOUR_CLARIFAI_API_KEY}"),) request = service_pb2.PostModelOutputsRequest( # This is the model ID of a publicly available General model. You may use any other public or custom model ID. model_id="general-image-recognition", user_app_id=resources_pb2.UserAppIDSet(app_id=YOUR_APPLICATION_ID), inputs=[ resources_pb2.Input( data=resources_pb2.Data(image=resources_pb2.Image(url=SAMPLE_URL)) ) ], ) response = stub.PostModelOutputs(request, metadata=metadata) if response.status.code != status_code_pb2.SUCCESS: print(response) raise Exception(f"Request failed, status code: {response.status}") for concept in response.outputs[0].data.concepts: print("%12s: %.2f" % (concept.name, concept.value)) ``` See [the Clarifai API documentation](https://docs.clarifai.com/) for all available functionality. ## Troubleshooting #### I get the following error when installing the library: `Failed building wheel for grpcio` Try upgrading **setuptools** to a version `40.7.1` or higher. ``` pip install --upgrade setuptools ``` Source: https://github.com/grpc/grpc/issues/17829 %prep %autosetup -n clarifai-grpc-9.4.0 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-clarifai-grpc -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 9.4.0-1 - Package Spec generated