# Create a sample application that offers playgrounds to interact with Amazon Bedrock foundation models using an AWS SDK
Create a playground application to interact with Amazon Bedrock foundation models

The following code examples show how to create playgrounds to interact with Amazon Bedrock foundation models through different modalities.

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#### [ .NET ]

**SDK for .NET**  
 .NET Foundation Model (FM) Playground is a .NET MAUI Blazor sample application that showcases how to use Amazon Bedrock from C\$1 code. This example shows how .NET and C\$1 developers can use Amazon Bedrock to build generative AI-enabled applications. You can test and interact with Amazon Bedrock foundation models by using the following four playgrounds:   
+ A text playground.
+ A chat playground.
+ A voice chat playground.
+ An image playground.
The example also lists and displays the foundation models you have access to and their characteristics. For source code and deployment instructions, see the project in [GitHub](https://github.com/build-on-aws/dotnet-fm-playground).   

**Services used in this example**
+ Amazon Bedrock Runtime

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#### [ Java ]

**SDK for Java 2.x**  
 The Java Foundation Model (FM) Playground is a Spring Boot sample application that showcases how to use Amazon Bedrock with Java. This example shows how Java developers can use Amazon Bedrock to build generative AI-enabled applications. You can test and interact with Amazon Bedrock foundation models by using the following three playgrounds:   
+ A text playground.
+ A chat playground.
+ An image playground.
The example also lists and displays the foundation models you have access to, along with their characteristics. For source code and deployment instructions, see the project in [GitHub](https://github.com/build-on-aws/java-fm-playground).   

**Services used in this example**
+ Amazon Bedrock Runtime

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#### [ Python ]

**SDK for Python (Boto3)**  
 The Python Foundation Model (FM) Playground is a Python/FastAPI sample application that showcases how to use Amazon Bedrock with Python. This example shows how Python developers can use Amazon Bedrock to build generative AI-enabled applications. You can test and interact with Amazon Bedrock foundation models by using the following three playgrounds:   
+ A text playground.
+ A chat playground.
+ An image playground.
The example also lists and displays the foundation models you have access to, along with their characteristics. For source code and deployment instructions, see the project in [GitHub](https://github.com/build-on-aws/python-fm-playground).   

**Services used in this example**
+ Amazon Bedrock Runtime

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For a complete list of AWS SDK developer guides and code examples, see [Using Amazon Bedrock with an AWS SDK](sdk-general-information-section.md). This topic also includes information about getting started and details about previous SDK versions.