Add files via upload

notebooks/HF-API-random.ipynb

@@ -14,9 +14,13 @@
     }
    ],
    "source": [
+    "# we duplicate the Advanced Optimization from AC huggingface for private use, to avoid rate limit\n",
+    "# need to pass your HF token, get your HF token (write access) from https://huggingface.co/settings/tokens\n",
+    "\n",
     "# load the Advanced Optimization from AC huggingface\n",
+    "from my_secret import get_my_hf_token\n",
     "from gradio_client import Client\n",
-    "client = Client(\"AccelerationConsortium/crabnet-hyperparameter\")\n",
+    "client = Client.duplicate(\"AccelerationConsortium/crabnet-hyperparameter\", hf_token=get_my_hf_token())\n",
     "\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
@@ -119,8 +123,8 @@
     "\n",
     "        y1 = adv_opt(x1, x2, x3, x4, x5, x6, x7, x8, x9, x10, x11, x12, x13, x14, x15, x16, x17, x18, x19, x20, c1, c2, c3)\n",
     "        \n",
-    "        # wait 60 seconds before next iteration <---------\n",
-    "        time.sleep(30)\n",
+    "        # # wait 60 seconds before next iteration <---------\n",
+    "        # time.sleep(30)\n",
     "\n",
     "        exp_i.append(y1)\n",
     "    obj.append(np.array(exp_i))"