add notebook for testing

notebook.ipynb

@@ -0,0 +1,99 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "cb28dbf0",
+   "metadata": {},
+   "source": [
+    "#### Do the imports and prepare the agent code"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6cff8644",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "token = os.getenv(\"HF_TOKEN\")\n",
+    "\n",
+    "if token is None:\n",
+    "    raise ValueError('You must set the HF_TOKEN environment variable')\n",
+    "else:\n",
+    "    print('Token was found')\n",
+    "    #print('Token:', token)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a414cce1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from smolagents import CodeAgent, Tool, InferenceClientModel\n",
+    "from tools import fetch_file\n",
+    "\n",
+    "#model = InferenceClientModel(model_id=\"Qwen/Qwen2.5-Coder-7B-Instruct\", provider=\"nscale\")\n",
+    "model = InferenceClientModel()\n",
+    "\n",
+    "from app import BasicAgent\n",
+    "\n",
+    "agent = CodeAgent(tools=[fetch_file], model=model, additional_authorized_imports=['requests', 'bs4'])\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9190ad36",
+   "metadata": {},
+   "source": [
+    "Run first question against agent"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09b50aa1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "item = {\n",
+    "    \"task_id\": \"8e867cd7-cff9-4e6c-867a-ff5ddc2550be\",\n",
+    "    \"question\": \"How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia.\",\n",
+    "    \"Level\": \"1\",\n",
+    "    \"file_name\": \"\"\n",
+    "  }\n",
+    "\n",
+    "question_text = item[\"question\"]\n",
+    "print(f\"Question: {question_text}\")\n",
+    "\n",
+    "task_id = item[\"task_id\"]\n",
+    "submitted_answer = agent(question_text)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}