A simple Streamlit app that connects to your Peloton account and suggests the next workout to meet your fitness goals.

To run the app you must provide an OpenAI API key and your Peloton credentials in the .env file. The .env file should look like this:

OPENAI_API_KEY='your_openai_api_key'
PELOTON_USER='your_peloton_username'
PELOTON_PASS='your_peloton_password'

Then in the terminal you can run the Streamlit app with:

streamlit run Home.py

Now the app is running and you can get started planning your workouts!

The Langchain agent is capable of a number of different tasks. To get started the sidebar offers some options for quick actions including:

• View recent Peloton classes
• Get a workout suggestion
• View classes in your stack
• Manage your workout preferences

You can tell the bot what your workout preferences are to get more personalized recommendations. When you include your preferences they will be saved in a goals.txt file.