{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d4bcff69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "33d0a386",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading artifacts: 100%|██████████| 6/6 [04:29<00:00, 44.84s/it]  "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\vansh\\AppData\\Local\\Temp\\tmpvzogvj38\\\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "import mlflow\n",
    "import os\n",
    "from dotenv import load_dotenv\n",
    "\n",
    "load_dotenv()\n",
    "\n",
    "mlflow.set_tracking_uri(\"https://dagshub.com/vanshsharma7832/ML-Learner.mlflow\")\n",
    "\n",
    "os.environ[\"MLFLOW_TRACKING_USERNAME\"] = \"vanshsharma7832\"\n",
    "os.environ[\"MLFLOW_TRACKING_PASSWORD\"] = os.getenv(\"MLFLOW_TRACKING_PASSWORD\")\n",
    "\n",
    "model_uri = \"models:/JobSimilarity/2\"\n",
    "\n",
    "path = mlflow.artifacts.download_artifacts(artifact_uri=model_uri, dst_path=\"models/job_similarity\")\n",
    "\n",
    "print(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "73bb450b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vanshsharma7832\n",
      "fee29b0c9f88f7918ad1474919b54153acd45f5e\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(os.getenv(\"MLFLOW_TRACKING_USERNAME\"))\n",
    "print(os.getenv(\"MLFLOW_TRACKING_PASSWORD\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f79d889",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.19"
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 "nbformat": 4,
 "nbformat_minor": 5
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