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   "source": [
    "%%capture output_var\n",
    "\n",
    "from dotenv import load_dotenv, find_dotenv\n",
    "from store import supabase_io\n",
    "from ml import train\n",
    "\n",
    "load_dotenv(find_dotenv())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5fa0089d-d797-430d-9ba0-20f2ed7094e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Supabase table name\n",
    "table = \"emails_labeled\"\n",
    "\n",
    "# Fetch table from Supabase\n",
    "df = supabase_io.fetch_df(table, limit=20000)\n",
    "\n",
    "# Fit model\n",
    "model = train.fit(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "043e29bd-480d-4ebd-9cdb-305d0122946e",
   "metadata": {},
   "outputs": [],
   "source": [
    "## Upload Artifact\n",
    "# save model locally and upload to supabase\n",
    "path = train.save_model_local(model, \"artifacts/pipeline.joblib\")\n",
    "supabase_io.upload_artifact(path, bucket = \"models\", object_path = \"resend/v1/pipeline.joblib\", upsert = True)\n"
   ]
  }
 ],
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