Add Hugging Face demo notebook

examples/huggingface_demo.ipynb

@@ -0,0 +1,93 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "3bc5c094",
+   "metadata": {},
+   "source": [
+    "# OpenDeepSearch + Hugging Face Demo\n",
+    "Run this notebook to quickly test OpenDeepSearch with Hugging Face Inference API.\n",
+    "\n",
+    "👉 Requirements:\n",
+    "- A Hugging Face account and API token (https://huggingface.co/settings/tokens)\n",
+    "- `opendeepsearch` installed in your environment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52831ffe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from opendeepsearch import OpenDeepSearchTool\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1defad09",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 1. Set your Hugging Face API key\n",
+    "# 👉 Replace with your token from https://huggingface.co/settings/tokens\n",
+    "os.environ[\"HUGGINGFACE_API_KEY\"] = \"your-hf-api-key\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5be1fa20",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 2. Initialize the search agent with a Hugging Face model\n",
+    "search_agent = OpenDeepSearchTool(\n",
+    "    model_name=\"facebook/bart-large-mnli\",  # ✅ correct model name\n",
+    "    reranker=\"jina\"\n",
+    ")\n",
+    "\n",
+    "if not search_agent.is_initialized:\n",
+    "    search_agent.setup()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "084c2120",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 3. Run a sample query\n",
+    "query = \"Is Hugging Face great for NLP?\"\n",
+    "result = search_agent.forward(query)\n",
+    "\n",
+    "print(\"🔍 Query:\", query)\n",
+    "print(\"✅ Result:\", result)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}