This project offers a sample multimodal front-end application built with Streamlit to showcase Amazon Bedrock. You can deploy this CDK project in your AWS account. Alternatively, you can run the Streamlit application on your local machine. See sections below for instructions.
Make sure you have access to the Bedrock models before using this application. You can request access to the Bedrock models through the console:
In this example, we are using the following models:
- Claude 3.5 Sonnet
- Titan Image Generator G1 v2
- Stability AI SDXL 1.0
The following tools should be installed on your deployment workstation:
- AWS CLI
- Node.js
- IDE
- AWS CDK Toolkit (v2.0 or later)
- Git, JQ, etc
- Docker
Clone the repository and enter the project directory:
git clone https://github.com/Hantzley/amazon-bedrock-multimodal-demo-app.git
cd amazon-bedrock-multimodal-demo-app
Create a virtualenv on MacOS or Linux:
python3 -m venv .venv
After the init process completes and the virtualenv is created, you can use the following step to activate your virtualenv.
source .venv/bin/activate
After the virtual environment is activated, upgrade pip to the latest version:
python3 -m pip install --upgrade pip
Once the virtualenv is activated, you can install the required dependencies.
pip install -r requirements.txt
If your account is not yet boostrapped for CDK, execute the following command:
cdk bootstrap
At this point you can now list the stacks in the project.
cdk ls
You should see the following output:
GenAiBedrockVpcStack
GenAiBedrockWebStack
Deploy the application as a container on Elastic Container Services in our AWS account:
cdk deploy GenAiBedrockWebStack
The GenAiBedrockWebStack depends on GenAiBedrockVpcStack. CDK will resolve that dependency and automatically deploy GenAiBedrockVpcStack first.
Copy the WebApplicationServiceURL from the output and paste it on your browser.
Alternatively, you can execute the Streamlit application on your local machine:
cd web-app
streamlit run Home.py
The application should open in your browser.
Enjoy!
To avoid unnecessary cost, you can destroy the resources used in the project:
cdk destroy --all
