Metadata-Version: 2.1
Name: aixplain
Version: 0.2.1
Summary: aiXplain SDK adds AI functions to software.
Home-page: https://github.com/aixplain/pipelines/tree/main/docs
Author: aiXplain
Author-email: thiago.ferreira@aixplain.com, krishna.durai@aixplain.com, lucas.pavanelli@aixplain.com
License: http://www.apache.org/licenses/LICENSE-2.0
Project-URL: Documentation, https://github.com/aixplain/pipelines/tree/main/docs
Project-URL: Source, https://github.com/aixplain/aiXplain
Description: <img src="docs/assets/aixplain-brandmark-common.png" alt="aiXplain logo" title="aiXplain" align="right" height="132" width="85"/>
        
        # aiXplain
        
        aixplain is a software development kit (SDK) for the [aiXplain](https://aixplain.com/) platform. With aixplain, developers can quickly and easily:
        
        - [Discover](https://aixplain.com/platform/discovery/) aiXplain’s ever-expanding catalog of 35,000+ ready-to-use AI models and utilize them.
        - [Benchmark](https://aixplain.com/platform/benchmark/) AI systems by choosing models, datasets and metrics.
        - [Design](https://aixplain.com/platform/studio/) their own custom pipelines and run them.
        
        [🎓 **Documentation**](docs/user/user_doc.md)
        
        🔎 **Find [models](https://platform.aixplain.com/discovery/models), [datasets](https://platform.aixplain.com/discovery/datasets), [metrics](https://platform.aixplain.com/discovery/metrics) on the platform.**
        
        :yellow_heart: Our repository is constantly evolving. With the help of the scientific community, we plan to add even more datasets, models, and metrics across domains and tasks.
        
        ## Getting Started
        
        ### Installation
        To install simply,
        ```bash
        pip install aixplain
        ```
        
        ###  API Key Setup
        Before you can use the aixplain SDK, you'll need to obtain an API key from our platform. For details refer this [Team API Key Guide](docs/user/api_setup.md).
        
        Once you get the API key, you'll  need to add this API key as an environment variable on your system.
        #### Linux or macOS
        ```bash
        export TEAM_API_KEY=YOUR_API_KEY
        ```
        #### Windows
        ```bash
        set TEAM_API_KEY=YOUR_API_KEY
        ```
        #### Jupyter Notebook
        ```
        %env TEAM_API_KEY=YOUR_API_KEY
        ```
        
        ## Usage
        
        Let’s see how we can use aixplain to run a machine translation model.
        
        ```python
        from aixplain.factories.model_factory  import ModelFactory
        model = ModelFactory.get("61b27086c45ecd3c10d0608c") # Got the ID of an MT model from on our platform
        translation = model.run("This is a sample text") # Alternatively, you can input a public URL or provide a file path on your local machine.
        ```
        *Check out the [explore section](docs/user/user_doc.md#explore) of our guide on Models to get the ID of your desired model*
        
        ## Developer Guide
        
        Follow the [Developer Guide](docs/development/developer_guide.md).
        
        ## Support
        Raise issues for support in this repository.  
        Pull requests are welcome!
        
        ## Note
        The aixtend python package was renamed to aixplain from the release v0.1.1.
        
Platform: UNKNOWN
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