Metadata-Version: 2.2
Name: google-generativeai
Version: 0.8.4
Summary: Google Generative AI High level API client library and tools.
Home-page: https://github.com/google/generative-ai-python
Author: Google LLC
Author-email: googleapis-packages@google.com
License: Apache 2.0
Platform: Posix; MacOS X; Windows
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Typing :: Typed
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: google-ai-generativelanguage==0.6.15
Requires-Dist: google-api-core
Requires-Dist: google-api-python-client
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# Google AI Python SDK for the Gemini API
[](https://badge.fury.io/py/google-generativeai)
The Google AI Python SDK is the easiest way for Python developers to build with the Gemini API. The Gemini API gives you access to Gemini [models](https://ai.google.dev/models/gemini) created by [Google DeepMind](https://deepmind.google/technologies/gemini/#introduction). Gemini models are built from the ground up to be multimodal, so you can reason seamlessly across text, images, and code.
## Get started with the Gemini API
1. Go to [Google AI Studio](https://aistudio.google.com/).
2. Login with your Google account.
3. [Create](https://aistudio.google.com/app/apikey) an API key.
4. Try a Python SDK [quickstart](https://github.com/google-gemini/gemini-api-cookbook/blob/main/quickstarts/Prompting.ipynb) in the [Gemini API Cookbook](https://github.com/google-gemini/gemini-api-cookbook/).
5. For detailed instructions, try the
[Python SDK tutorial](https://ai.google.dev/tutorials/python_quickstart) on [ai.google.dev](https://ai.google.dev).
## Usage example
See the [Gemini API Cookbook](https://github.com/google-gemini/gemini-api-cookbook/) or [ai.google.dev](https://ai.google.dev) for complete code.
1. Install from [PyPI](https://pypi.org/project/google-generativeai).
`pip install -U google-generativeai`
2. Import the SDK and configure your API key.
```python
import google.generativeai as genai
import os
genai.configure(api_key=os.environ["GEMINI_API_KEY"])
```
3. Create a model and run a prompt.
```python
model = genai.GenerativeModel('gemini-1.5-flash')
response = model.generate_content("The opposite of hot is")
print(response.text)
```
## Documentation
See the [Gemini API Cookbook](https://github.com/google-gemini/gemini-api-cookbook/) or [ai.google.dev](https://ai.google.dev) for complete documentation.
## Contributing
See [Contributing](https://github.com/google/generative-ai-python/blob/main/CONTRIBUTING.md) for more information on contributing to the Google AI Python SDK.
## License
The contents of this repository are licensed under the [Apache License, version 2.0](http://www.apache.org/licenses/LICENSE-2.0).