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"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": []
}
],
"metadata": {
"kernelspec": {
"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"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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