From b62eb3a758b75029236c4e2410fa3cd52a8cca37 Mon Sep 17 00:00:00 2001
From: burtenshaw <ben.burtenshaw@gmail.com>
Date: Fri, 10 Jan 2025 09:43:31 +0100
Subject: [PATCH] update agents notebook with exercises

---
 8_agents/notebooks/agents.ipynb | 31 +++++++++++++++++++------------
 1 file changed, 19 insertions(+), 12 deletions(-)

diff --git a/8_agents/notebooks/agents.ipynb b/8_agents/notebooks/agents.ipynb
index 52bd1afe..7a09dec6 100644
--- a/8_agents/notebooks/agents.ipynb
+++ b/8_agents/notebooks/agents.ipynb
@@ -17,8 +17,17 @@
             "cell_type": "code",
             "execution_count": null,
             "metadata": {},
+            "outputs": [],
             "source": [
-                "!pip install smolagents"
+                "!pip install smolagents\n",
+                "\n",
+                "# Install the requirements in Google Colab\n",
+                "# !pip install transformers datasets trl huggingface_hub\n",
+                "\n",
+                "# Authenticate to Hugging Face\n",
+                "from huggingface_hub import login\n",
+                "\n",
+                "login()"
             ]
         },
         {
@@ -34,6 +43,7 @@
             "cell_type": "code",
             "execution_count": null,
             "metadata": {},
+            "outputs": [],
             "source": [
                 "from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel\n",
                 "\n",
@@ -72,6 +82,7 @@
             "cell_type": "code",
             "execution_count": null,
             "metadata": {},
+            "outputs": [],
             "source": [
                 "from smolagents import CodeAgent, tool\n",
                 "from typing import Union, List\n",
@@ -137,17 +148,14 @@
             "cell_type": "code",
             "execution_count": null,
             "metadata": {},
+            "outputs": [],
             "source": [
                 "from smolagents import Agent\n",
                 "from smolagents.tools import DuckDuckGoSearch\n",
-                "from smolagents.memory import SqliteMemory\n",
                 "\n",
                 "# Initialize the agent with memory\n",
                 "research_agent = Agent(\n",
-                "    name=\"research_assistant\",\n",
-                "    description=\"I help find and synthesize information while maintaining context\",\n",
-                "    tools=[DuckDuckGoSearch()],\n",
-                "    memory=SqliteMemory(db_path=\"research_memory.db\")\n",
+                "    ... # TODO: Define the agent\n",
                 ")\n",
                 "\n",
                 "# Test with a multi-turn conversation\n",
@@ -157,10 +165,7 @@
                 "    \"What are some popular algorithms for this type?\"\n",
                 "]\n",
                 "\n",
-                "for question in questions:\n",
-                "    print(f\"\\nQ: {question}\")\n",
-                "    response = research_agent.run(question)\n",
-                "    print(f\"A: {response}\")"
+                "# TODO: Test the agent  "
             ]
         },
         {
@@ -180,5 +185,7 @@
             "language": "python",
             "name": "python3"
         }
-    }
-}
\ No newline at end of file
+    },
+    "nbformat": 4,
+    "nbformat_minor": 2
+}