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Revert "Week 2 Learnings (#2)" (#5)

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This reverts commit a63143df82.
This commit is contained in:
Stephen Muthama
2025-10-23 13:46:18 +03:00
committed by GitHub
parent 45e35425a9
commit e82c606080
6 changed files with 167 additions and 1845 deletions
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154
week2/day2.ipynb
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@@ -16,7 +16,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"id": "c44c5494-950d-4d2f-8d4f-b87b57c5b330",
"metadata": {},
"outputs": [],
@@ -28,7 +28,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"id": "d1715421-cead-400b-99af-986388a97aff",
"metadata": {},
"outputs": [],
@@ -38,20 +38,10 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"id": "337d5dfc-0181-4e3b-8ab9-e78e0c3f657b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"OpenAI API Key exists and begins sk-proj-\n",
"Anthropic API Key not set\n",
"Google API Key exists and begins AIzaSyCL\n"
]
}
],
"outputs": [],
"source": [
"# Load environment variables in a file called .env\n",
"# Print the key prefixes to help with any debugging\n",
@@ -98,7 +88,7 @@
},
{
"cell_type": "code",
"execution_count": 5,
"execution_count": null,
"id": "02ef9b69-ef31-427d-86d0-b8c799e1c1b1",
"metadata": {},
"outputs": [],
@@ -115,21 +105,10 @@
},
{
"cell_type": "code",
"execution_count": 6,
"execution_count": null,
"id": "aef7d314-2b13-436b-b02d-8de3b72b193f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\"Today's date is June 14, 2024.\""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"# This can reveal the \"training cut off\", or the most recent date in the training data\n",
"\n",
@@ -146,7 +125,7 @@
},
{
"cell_type": "code",
"execution_count": 7,
"execution_count": null,
"id": "bc664b7a-c01d-4fea-a1de-ae22cdd5141a",
"metadata": {},
"outputs": [],
@@ -160,74 +139,20 @@
},
{
"cell_type": "code",
"execution_count": 8,
"execution_count": null,
"id": "977bb496",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shout has been called with input hello\n"
]
},
{
"data": {
"text/plain": [
"'HELLO'"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"shout(\"hello\")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": null,
"id": "083ea451-d3a0-4d13-b599-93ed49b975e4",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"* Running on local URL: http://127.0.0.1:7860\n",
"* To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Shout has been called with input Sema milele\n"
]
}
],
"outputs": [],
"source": [
"gr.Interface(fn=shout, inputs=\"textbox\", outputs=\"textbox\", flagging_mode=\"never\").launch()"
]
@@ -410,7 +335,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": null,
"id": "88c04ebf-0671-4fea-95c9-bc1565d4bb4f",
"metadata": {},
"outputs": [],
@@ -437,39 +362,10 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": null,
"id": "0bb1f789-ff11-4cba-ac67-11b815e29d09",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"* Running on local URL: http://127.0.0.1:7861\n",
"* To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"outputs": [],
"source": [
"message_input = gr.Textbox(label=\"Your message:\", info=\"Enter a message for GPT-4.1-mini\", lines=7)\n",
"message_output = gr.Markdown(label=\"Response:\")\n",
@@ -619,7 +515,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": null,
"id": "1626eb2e-eee8-4183-bda5-1591b58ae3cf",
"metadata": {},
"outputs": [],
@@ -632,19 +528,7 @@
"execution_count": null,
"id": "c701ec17-ecd5-4000-9f68-34634c8ed49d",
"metadata": {},
"outputs": [
{
"ename": "",
"evalue": "",
"output_type": "error",
"traceback": [
"\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
"\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
"\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
"\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
]
}
],
"outputs": [],
"source": [
"\n",
"# Again this is typical Experimental mindset - I'm changing the global variable we used above:\n",
@@ -673,7 +557,7 @@
" result = stream_claude(prompt)\n",
" else:\n",
" raise ValueError(\"Unknown model\")\n",
" yield from result"
" yield from result"
]
},
{
@@ -739,7 +623,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.12"
"version": "3.12.9"
}
},
"nbformat": 4,