feat: consolidate transformer deps as required and add supabase client

.env.example

@@ -15,3 +15,7 @@ ENV=development
 VITE_API_BASE_URL=
 
 # Docker: INSTALL_HF=1 is default in docker-compose (required for production meta-stacking)
+
+# Supabase (optional — leave empty to disable persistence)
+SUPABASE_URL=
+SUPABASE_KEY=

pyproject.toml

@@ -21,16 +21,15 @@ dependencies = [
     "seaborn>=0.13.2",
     "mlflow>=2.11.0",
     "protobuf>=3.20,<5.0",
-]
-
-[project.optional-dependencies]
-hf = [
     "transformers>=5.9.0",
     "torch>=2.0.0",
     "sentencepiece>=0.2.0",
     "accelerate>=0.30.0",
     "datasets>=3.0.0",
+    "supabase>=2.0.0",
 ]
+
+[project.optional-dependencies]
 train = [
     "deep-translator>=1.11.4",
     "sentence-transformers>=3.0.0",

uv.lock

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+[package.optional-dependencies]
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@@ -2583,6 +2841,8 @@ name = "youtube-hate-detector"
 version = "1.0.0"
 source = { editable = "." }
 dependencies = [
+    { name = "accelerate" },
+    { name = "datasets" },
     { name = "fastapi" },
     { name = "google-api-python-client" },
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@@ -2597,7 +2857,11 @@ dependencies = [
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     { name = "scikit-learn" },
     { name = "seaborn" },
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     { name = "spacy" },
+    { name = "supabase" },
+    { name = "torch" },
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 ]
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