More comments, notes and improvements

week2/day1.ipynb

@@ -23,6 +23,8 @@
     "\n",
     "If you haven't done so already, you'll need to create API keys from OpenAI, Anthropic and Google.\n",
     "\n",
+    "**Please note:** if you'd prefer to avoid extra API costs, feel free to skip setting up Anthopic and Google! You can see me do it, and focus on OpenAI for the course.\n",
+    "\n",
     "For OpenAI, visit https://openai.com/api/  \n",
     "For Anthropic, visit https://console.anthropic.com/  \n",
     "For Google, visit https://ai.google.dev/gemini-api  \n",
@@ -37,7 +39,9 @@
     "GOOGLE_API_KEY=xxxx\n",
     "```\n",
     "\n",
-    "OR enter the keys directly in the cells below."
+    "OR enter the keys directly in the cells below.\n",
+    "\n",
+    "You may need to restart the Jupyter Notebook Kernel (the Python process) via the Kernel menu."
    ]
   },
   {
@@ -259,8 +263,8 @@
     "# To be serious! GPT-4o-mini with the original question\n",
     "\n",
     "prompts = [\n",
-    "    {\"role\": \"system\", \"content\": \"You are a helpful assistant\"},\n",
-    "    {\"role\": \"user\", \"content\": \"How do I decide if a business problem is suitable for an LLM solution?\"}\n",
+    "    {\"role\": \"system\", \"content\": \"You are a helpful assistant that responds in Markdown\"},\n",
+    "    {\"role\": \"user\", \"content\": \"How do I decide if a business problem is suitable for an LLM solution? Please respond in Markdown.\"}\n",
     "  ]"
    ]
   },

week2/day2.ipynb

@@ -164,7 +164,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "gr.Interface(fn=shout, inputs=\"textbox\", outputs=\"textbox\", allow_flagging=\"never\").launch(share=True)"
+    "gr.Interface(fn=shout, inputs=\"textbox\", outputs=\"textbox\", flagging_mode=\"never\").launch(share=True)"
    ]
   },
   {
@@ -178,7 +178,7 @@
     "    fn=shout,\n",
     "    inputs=[gr.Textbox(label=\"Your message:\", lines=6)],\n",
     "    outputs=[gr.Textbox(label=\"Response:\", lines=8)],\n",
-    "    allow_flagging=\"never\"\n",
+    "    flagging_mode=\"never\"\n",
     ")\n",
     "view.launch()"
    ]
@@ -194,7 +194,7 @@
     "    fn=message_gpt,\n",
     "    inputs=[gr.Textbox(label=\"Your message:\", lines=6)],\n",
     "    outputs=[gr.Textbox(label=\"Response:\", lines=8)],\n",
-    "    allow_flagging=\"never\"\n",
+    "    flagging_mode=\"never\"\n",
     ")\n",
     "view.launch()"
    ]
@@ -212,7 +212,7 @@
     "    fn=message_gpt,\n",
     "    inputs=[gr.Textbox(label=\"Your message:\")],\n",
     "    outputs=[gr.Markdown(label=\"Response:\")],\n",
-    "    allow_flagging=\"never\"\n",
+    "    flagging_mode=\"never\"\n",
     ")\n",
     "view.launch()"
    ]
@@ -253,7 +253,7 @@
     "    fn=stream_gpt,\n",
     "    inputs=[gr.Textbox(label=\"Your message:\")],\n",
     "    outputs=[gr.Markdown(label=\"Response:\")],\n",
-    "    allow_flagging=\"never\"\n",
+    "    flagging_mode=\"never\"\n",
     ")\n",
     "view.launch()"
    ]
@@ -293,11 +293,32 @@
     "    fn=stream_claude,\n",
     "    inputs=[gr.Textbox(label=\"Your message:\")],\n",
     "    outputs=[gr.Markdown(label=\"Response:\")],\n",
-    "    allow_flagging=\"never\"\n",
+    "    flagging_mode=\"never\"\n",
     ")\n",
     "view.launch()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "bc5a70b9-2afe-4a7c-9bed-2429229e021b",
+   "metadata": {},
+   "source": [
+    "## Minor improvement\n",
+    "\n",
+    "I've made a small improvement to this code.\n",
+    "\n",
+    "Previously, it had these lines:\n",
+    "\n",
+    "```\n",
+    "for chunk in result:\n",
+    "  yield chunk\n",
+    "```\n",
+    "\n",
+    "There's actually a more elegant way to achieve this (which Python people might call more 'Pythonic'):\n",
+    "\n",
+    "`yield from result`"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -312,8 +333,7 @@
     "        result = stream_claude(prompt)\n",
     "    else:\n",
     "        raise ValueError(\"Unknown model\")\n",
-    "    for chunk in result:\n",
-    "        yield chunk"
+    "    yield from result"
    ]
   },
   {
@@ -327,7 +347,7 @@
     "    fn=stream_model,\n",
     "    inputs=[gr.Textbox(label=\"Your message:\"), gr.Dropdown([\"GPT\", \"Claude\"], label=\"Select model\")],\n",
     "    outputs=[gr.Markdown(label=\"Response:\")],\n",
-    "    allow_flagging=\"never\"\n",
+    "    flagging_mode=\"never\"\n",
     ")\n",
     "view.launch()"
    ]
@@ -397,8 +417,7 @@
     "        result = stream_claude(prompt)\n",
     "    else:\n",
     "        raise ValueError(\"Unknown model\")\n",
-    "    for chunk in result:\n",
-    "        yield chunk"
+    "    yield from result"
    ]
   },
   {
@@ -412,10 +431,10 @@
     "    fn=stream_brochure,\n",
     "    inputs=[\n",
     "        gr.Textbox(label=\"Company name:\"),\n",
-    "        gr.Textbox(label=\"Landing page URL:\"),\n",
+    "        gr.Textbox(label=\"Landing page URL including http:// or https://\"),\n",
     "        gr.Dropdown([\"GPT\", \"Claude\"], label=\"Select model\")],\n",
     "    outputs=[gr.Markdown(label=\"Brochure:\")],\n",
-    "    allow_flagging=\"never\"\n",
+    "    flagging_mode=\"never\"\n",
     ")\n",
     "view.launch()"
    ]
@@ -427,6 +446,14 @@
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d3d3bf11-e02c-492b-96f1-f4dd7df6f4d7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {