Minor tweaks and fix in week 8

week1/Guide to Jupyter.ipynb

@@ -278,7 +278,7 @@
     "# is up to date with any new upgrades to packages;\n",
     "# But it might take a minute and will print a lot to output\n",
     "\n",
-    "!conda env update -f ../environment.yml --prune"
+    "!conda env update -f ../environment.yml"
    ]
   },
   {

week1/community-contributions/Week1-Challenge-LocalGPT.ipynb

@@ -140,7 +140,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week1/community-contributions/day5 company brochure.ipynb

@@ -445,7 +445,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week1/community-contributions/week1-collaborative-approach-two-llms.ipynb

@@ -310,7 +310,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "llm_env",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -324,7 +324,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week2/day3.ipynb

@@ -136,6 +136,26 @@
     "        yield response"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "40a2d5ad-e907-465e-8397-3120583a5bf9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip show gradio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7fed1b9-c502-4eea-b649-ca00458d5c45",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 5.8.0 to 5.12"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "1334422a-808f-4147-9c4c-57d63d9780d0",
@@ -151,7 +171,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "gr.ChatInterface(fn=chat, type=\"messages\").launch()"
+    "gr.ChatInterface(fn=chat, type=\"messages\").launch(pwa=True)"
    ]
   },
   {

week4/community-contributions/Day 3 using gemini.ipynb

@@ -485,7 +485,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week4/community-contributions/week4-day4-challenge.ipynb

@@ -681,7 +681,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.10"
+   "version": "3.11.11"
   }
  },
  "nbformat": 4,

week8/day2.0.ipynb

@@ -125,7 +125,11 @@
     "\n",
     "Now we will create a Chroma datastore with 400,000 products from our training dataset! It's getting real!\n",
     "\n",
-    "Note that we won't be using LangChain, but the API is very straightforward and consistent with before."
+    "Note that we won't be using LangChain, but the API is very straightforward and consistent with before.\n",
+    "\n",
+    "Special note: if Chroma crashes and you're a Windows user, you should try rolling back to an earlier version of the Chroma library with:  \n",
+    "`!pip install chromadb==0.5.0`  \n",
+    "With many thanks to student Kelly Z. for finding this out and pointing to the GitHub issue [here](https://github.com/chroma-core/chroma/issues/2513). "
    ]
   },
   {

week8/price_is_right.py

@@ -15,6 +15,7 @@ class App:
         
             def start():
                 self.agent_framework = DealAgentFramework()
+                self.agent_framework.init_agents_as_needed()
                 opportunities = self.agent_framework.memory
                 table = table_for(opportunities)
                 return table