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Set up backend and frontend structure for a health and fitness tracker using Python (FastAPI, SQLModel, DSPy) and React. Includes Docker and Compose configs, authentication, nutrition AI module, health/nutrition/user endpoints, database models, and basic frontend with routing and context. Enables tracking nutrition, health metrics, and user management, with architecture ready for future mobile and cloud deployment.
8 lines
205 B
Python
8 lines
205 B
Python
import dspy
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from app.config import settings
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def configure_dspy():
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if settings.OPENAI_API_KEY:
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lm = dspy.LM("openai/gpt-4o-mini", api_key=settings.OPENAI_API_KEY)
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dspy.configure(lm=lm)
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