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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\"\"\"\n",
"To add a fine-tuned model, you'll have to grant additional permissions (due to fine-tuned models using personal data).\n",
"The Google Gemini API currently does not support this feature (https://github.com/google-gemini/cookbook/blob/main/quickstarts/Authentication_with_OAuth.ipynb), therefore ping the REST endpoint to grant access. Just make it EVERYONE cause FURY data isn't something sensitive.\n",
"\n",
"To setup gcloud refer: https://ai.google.dev/gemini-api/docs/oauth\n",
"\n",
"RESOURCES\n",
"https://ai.google.dev/gemini-api/docs/model-tuning\n",
"https://ai.google.dev/api/tuning/permissions\n",
"\n",
"\"\"\"\n",
"\n",
"import requests\n",
"\n",
"model_name = 'tunedModels/model_name' # @param {type:\"string\"}\n",
"emailAddress = '' # @param {type:\"string\"}\n",
"\n",
"\n",
"access_token = !gcloud auth application-default print-access-token\n",
"\n",
"headers = {\n",
" 'Content-Type': 'application/json',\n",
" 'Authorization': f'Bearer {access_token[0]}',\n",
"}\n",
"\n",
"body = {\n",
" 'granteeType': 'EVERYONE',\n",
" 'role': 'READER'\n",
"}\n",
"\n",
"# Construct correct URL with model name\n",
"url = f'https://generativelanguage.googleapis.com/v1beta/{model_name}/permissions'\n",
"\n",
"response = requests.post(url, json=body, headers=headers)\n",
"\n",
"print(response.json())\n"
]
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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