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The complete code for that file is here on GitHub. Now let's make some custom tools to help LangChain suggest personalized workouts.
For more background on LangChain, you can read this blog post here.
Solution: Read on to learn how to build a personal marathon training plan generator Streamlit-hosted app from personal workout data using the Strava API, LangChain agents, chains, few-shot prompt templating, PromptTemplates, OpenAI, and SendGrid. This can also be applied to personal training, nutrition, and more!
Solution: Read on to learn how to build a personal marathon training plan generator Streamlit-hosted app from personal workout data using the Strava API, LangChain agents, chains, few-shot prompt templating, PromptTemplates, OpenAI, and SendGrid. This can also be applied to personal training, nutrition, and more!
Solution: Read on to learn how to build a personal marathon training plan generator Streamlit-hosted app from personal workout data using the Strava API, LangChain agents, chains, few-shot prompt templating, PromptTemplates, OpenAI, and SendGrid. This can also be applied to personal training, nutrition, and more!