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>
33 lines
628 B
TOML
33 lines
628 B
TOML
[project]
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name = "innercontext"
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.12"
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dependencies = [
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"fastapi>=0.132.0",
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"google-genai>=1.65.0",
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"psycopg>=3.3.3",
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"python-dotenv>=1.2.1",
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"python-multipart>=0.0.22",
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"sqlmodel>=0.0.37",
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"uvicorn[standard]>=0.34.0",
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]
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[dependency-groups]
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dev = [
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"black>=26.1.0",
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"httpx>=0.28.1",
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"isort>=8.0.0",
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"pytest>=9.0.2",
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"ruff>=0.15.2",
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"ty>=0.0.18",
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]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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pythonpath = ["."]
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addopts = "-v --tb=short"
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[tool.isort]
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profile = "black"
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