Fixes to imports and repo link thanks to Trung N

week8/day2.0.ipynb

@@ -44,7 +44,6 @@
     "from sentence_transformers import SentenceTransformer\n",
     "from datasets import load_dataset\n",
     "import chromadb\n",
-    "from items import Item\n",
     "from sklearn.manifold import TSNE\n",
     "import plotly.graph_objects as go"
    ]
@@ -77,6 +76,18 @@
     "login(hf_token, add_to_git_credential=True)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8491f550-df4a-4c8f-a260-a7a419e8efb6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Another import after Logging in to Hugging Face - thank you Trung N.!\n",
+    "\n",
+    "from items import Item"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3d4995a4-f67f-4871-87df-8c6439b06366",

week8/day2.1.ipynb

@@ -44,7 +44,6 @@
     "from sentence_transformers import SentenceTransformer\n",
     "from datasets import load_dataset\n",
     "import chromadb\n",
-    "from items import Item\n",
     "from sklearn.manifold import TSNE\n",
     "import plotly.graph_objects as go"
    ]
@@ -174,7 +173,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.11"
+   "version": "3.11.12"
   }
  },
  "nbformat": 4,

week8/day2.2.ipynb

@@ -44,7 +44,6 @@
     "from sentence_transformers import SentenceTransformer\n",
     "from datasets import load_dataset\n",
     "import chromadb\n",
-    "from items import Item\n",
     "from sklearn.manifold import TSNE\n",
     "import plotly.graph_objects as go"
    ]
@@ -166,7 +165,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.11"
+   "version": "3.11.12"
   }
  },
  "nbformat": 4,

week8/day2.3.ipynb

@@ -48,7 +48,6 @@
     "from sentence_transformers import SentenceTransformer\n",
     "from datasets import load_dataset\n",
     "import chromadb\n",
-    "from items import Item\n",
     "from testing import Tester"
    ]
   },
@@ -66,6 +65,31 @@
     "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ce73b034-9ec1-4533-ba41-3e57c7878b61",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Log in to HuggingFace\n",
+    "\n",
+    "hf_token = os.environ['HF_TOKEN']\n",
+    "login(hf_token, add_to_git_credential=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4c01daad-86b0-4bc0-91ba-20a64df043ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Another import after Logging in to Hugging Face - thank you Trung N.!\n",
+    "\n",
+    "from items import Item"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -495,7 +519,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.11"
+   "version": "3.11.12"
   }
  },
  "nbformat": 4,

week8/day2.4.ipynb

@@ -84,6 +84,31 @@
     "os.environ['HF_TOKEN'] = os.getenv('HF_TOKEN', 'your-key-if-not-using-env')"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1006966f-96b7-4e1a-93f0-2bb9a09057c8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Log in to HuggingFace\n",
+    "\n",
+    "hf_token = os.environ['HF_TOKEN']\n",
+    "login(hf_token, add_to_git_credential=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "de0e4b22-ee61-4b79-95bc-3cd707d5f83d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Another import after Logging in to Hugging Face - thank you Trung N.!\n",
+    "\n",
+    "from items import Item"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

week8/day4.ipynb

@@ -78,7 +78,7 @@
     "        </td>\n",
     "        <td>\n",
     "            <h2 style=\"color:#f71;\">Additional resource: more sophisticated planning agent</h2>\n",
-    "            <span style=\"color:#f71;\">The Planning Agent that we use in the next cell is simply a python script that calls the other Agents; frankly that's all we require for this project. But if you're intrigued to see a more Autonomous version in which we give the Planning Agent tools and allow it to decide which Agents to call, see my implementation of <a href=\"https://github.com/ed-donner/agentic/blob/main/workshop/agents/autonomous_planning_agent.py\">AutonomousPlanningAgent</a> in my related repo, <a href=\"https://github.com/ed-donner/agentic\">Agentic</a>. This is an example with multiple tools that dynamically decides which function to call.\n",
+    "            <span style=\"color:#f71;\">The Planning Agent that we use in the next cell is simply a python script that calls the other Agents; frankly that's all we require for this project. But if you're intrigued to see a more Autonomous version in which we give the Planning Agent tools and allow it to decide which Agents to call, see my implementation of <a href=\"https://github.com/ed-donner/agentic/blob/main/workshop/price_agents/autonomous_planning_agent.py\">AutonomousPlanningAgent</a> in my related repo, <a href=\"https://github.com/ed-donner/agentic\">Agentic</a>. This is an example with multiple tools that dynamically decides which function to call.\n",
     "            </span>\n",
     "        </td>\n",
     "    </tr>\n",
@@ -144,7 +144,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.11"
+   "version": "3.11.12"
   }
  },
  "nbformat": 4,