Piotr Oleszczyk
66ee473deb
Add POST /skincare/analyze-photos endpoint that accepts 1–3 skin photos, sends them to Gemini vision, and returns a structured SkinPhotoAnalysisResponse for pre-filling the snapshot form. Extract shared Gemini client setup into innercontext/llm.py (get_gemini_client) so both products and skincare use a single default model (gemini-flash-latest) and API key check. Frontend: AI photo card on /skin page with file picker, previews, and auto-fill of all form fields from the analysis result. New fields (skin_type, sebum_tzone, sebum_cheeks) added to form and server action. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
21 lines
605 B
Python
21 lines
605 B
Python
"""Shared helpers for Gemini API access."""
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import os
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from fastapi import HTTPException
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from google import genai
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_DEFAULT_MODEL = "gemini-flash-latest"
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def get_gemini_client() -> tuple[genai.Client, str]:
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"""Return an authenticated Gemini client and the configured model name.
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Raises HTTP 503 if GEMINI_API_KEY is not set.
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"""
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api_key = os.environ.get("GEMINI_API_KEY")
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if not api_key:
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raise HTTPException(status_code=503, detail="GEMINI_API_KEY not configured")
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model = os.environ.get("GEMINI_MODEL", _DEFAULT_MODEL)
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return genai.Client(api_key=api_key), model
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