Welcome to the Python Foundation Model (FM) Playground, an example app to explore how to use Amazon Bedrock with boto3, the AWS SDK for Python.
🚨 Important: This application is for educational purposes and not intended for production use.
This repository includes a FastAPI application and a Next.js frontend, both executable locally. Below is a screenshot of the app in action.
- Running this application might result in charges to your AWS account. For more details, see Amazon Bedrock Pricing.
- This app is configured to run in
us-east-1
and has not been tested in every AWS Region. For more information see AWS Regional Services. - We recommend that you grant your code least privilege, i.e. only the minimum permissions required by the application. You can find an IAM Policy document with the required permissions in this repository at
resources/bedrock-access-policy.json
(display policy).
Ensure you have the following installed:
- Python 3.8+ for the backend server.
- Node.js (v18.17+) for the frontend application.
- You must have an AWS account, and have your default credentials and AWS Region configured as described in the AWS Tools and SDKs Shared Configuration and Credentials Reference Guide.
- You must request access to the models before you can use them. For more information, see Model access. To run the app, you need access to the following models in
us-east-1
:- Anthropic Claude
- AI21 Labs Jurassic-2 Mid
- Stability AI Stable Diffusion XL
After verifying the prerequisites, follow these steps:
Open a terminal, navigate to a directory of your choice, and execute the following command:
git clone https://github.com/build-on-aws/python-fm-playground.git
It is recommended to use a virtual environment for your Python projects to manage dependencies separately for each project. If you're not already in a virtual environment, navigate to the project directory to create and activate the virtual environment:
cd python-fm-playground
python -m venv .venv
.venv\Scripts\activate
cd python-fm-playground
python -m venv .venv
source .venv/bin/activate
In the backend
directory, install the packages required by running the following in the virtual environment:
pip install -r requirements.txt
After successful installation you can start the backend server by executing the following command:
python main.py
Once the server is running, you will see the following output:
INFO: Started server process [14712]
INFO: Waiting for application startup.
INFO: Application startup complete.
INFO: Uvicorn running on http://0.0.0.0:55500 (Press CTRL+C to quit)
Note: The backend runs on port 55500 by default. See below for port changes.
In a new terminal window, navigate to the frontend
directory and install the packages required by running the following command:
npm install
After successful installation you can start the frontend application by executing the following command:
npm run dev
When the application is running, you will see the following output:
> [email protected] dev
> next dev
▲ Next.js 14.0.0
- Local: http://localhost:3000
✓ Ready in 3.3s
Note: The frontend runs on port 3000 by default. See below for port changes.
To access the application, open http://localhost:3000
in your web browser.
To halt the application, you will need to stop both the backend and frontend processes.
In the terminal where the frontend is running, press Ctrl + C
to terminate the process.
Similarly, in the backend terminal, use the Ctrl + C
shortcut to stop the server.
To deactivate the virtual environment, you can simply close the backend terminal, or execute the following command:
.venv\Scripts\deactivate.bat
deactivate
If you encounter any issues, you can forcefully terminate the processes by finding the process ID (PID
) and using the kill
command on Unix-based systems or Task Manager on Windows.
Change the backend port in the following files:
backend/config.py
frontend/app/app.config.js
To run the frontend on a different port:
npm run dev -- --port NEW_PORT
The AWS Region is hard-coded in the application. However, if your local AWS_REGION
environment variable is set to a different region, the application may fail. In this case, please make sure to either unset AWS_REGION
, or set it to us-east-1
.
This library is licensed under the MIT-0 License. See the LICENSE file.
See CONTRIBUTING for more information.