diff --git a/week2/day2.ipynb b/week2/day2.ipynb
index 8b690bf..01abde9 100644
--- a/week2/day2.ipynb
+++ b/week2/day2.ipynb
@@ -14,7 +14,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 2,
"id": "c44c5494-950d-4d2f-8d4f-b87b57c5b330",
"metadata": {},
"outputs": [],
@@ -33,7 +33,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"id": "d1715421-cead-400b-99af-986388a97aff",
"metadata": {},
"outputs": [],
@@ -43,7 +43,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 4,
"id": "337d5dfc-0181-4e3b-8ab9-e78e0c3f657b",
"metadata": {},
"outputs": [],
@@ -58,7 +58,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 5,
"id": "22586021-1795-4929-8079-63f5bb4edd4c",
"metadata": {},
"outputs": [],
@@ -74,19 +74,19 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 7,
"id": "b16e6021-6dc4-4397-985a-6679d6c8ffd5",
"metadata": {},
"outputs": [],
"source": [
"# A generic system message - no more snarky adversarial AIs!\n",
"\n",
- "system_message = \"You are a helpful assistant\""
+ "system_message = \"You are a helpful assistant that responds in markdown\""
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 7,
"id": "02ef9b69-ef31-427d-86d0-b8c799e1c1b1",
"metadata": {},
"outputs": [],
@@ -107,10 +107,21 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 8,
"id": "aef7d314-2b13-436b-b02d-8de3b72b193f",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "\"Today's date is October 3, 2023.\""
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"message_gpt(\"What is today's date?\")"
]
@@ -125,7 +136,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 9,
"id": "bc664b7a-c01d-4fea-a1de-ae22cdd5141a",
"metadata": {},
"outputs": [],
@@ -139,72 +150,265 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 10,
"id": "083ea451-d3a0-4d13-b599-93ed49b975e4",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Shout has been called with input hello\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "'HELLO'"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"shout(\"hello\")"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 11,
"id": "08f1f15a-122e-4502-b112-6ee2817dda32",
- "metadata": {},
- "outputs": [],
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7860\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "
"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Shout has been called with input hello\n",
+ "Created dataset file at: .gradio\\flagged\\dataset1.csv\n"
+ ]
+ }
+ ],
"source": [
"gr.Interface(fn=shout, inputs=\"textbox\", outputs=\"textbox\").launch()"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 14,
"id": "c9a359a4-685c-4c99-891c-bb4d1cb7f426",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7863\n",
+ "* Running on public URL: https://1b149f8be167f11821.gradio.live\n",
+ "\n",
+ "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Shout has been called with input wow, this is cool! \n"
+ ]
+ }
+ ],
"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)"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 16,
"id": "3cc67b26-dd5f-406d-88f6-2306ee2950c0",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7865\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Shout has been called with input hello again :)\n"
+ ]
+ }
+ ],
"source": [
"view = gr.Interface(\n",
" 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()"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 17,
"id": "f235288e-63a2-4341-935b-1441f9be969b",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7866\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"view = gr.Interface(\n",
" 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()"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 18,
"id": "af9a3262-e626-4e4b-80b0-aca152405e63",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7867\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"system_message = \"You are a helpful assistant that responds in markdown\"\n",
"\n",
@@ -212,14 +416,14 @@
" 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()"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 8,
"id": "88c04ebf-0671-4fea-95c9-bc1565d4bb4f",
"metadata": {},
"outputs": [],
@@ -244,23 +448,53 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 20,
"id": "0bb1f789-ff11-4cba-ac67-11b815e29d09",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7868\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 20,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"view = gr.Interface(\n",
" 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()"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 9,
"id": "bbc8e930-ba2a-4194-8f7c-044659150626",
"metadata": {},
"outputs": [],
@@ -284,23 +518,195 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 22,
"id": "a0066ffd-196e-4eaf-ad1e-d492958b62af",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7869\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 22,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"view = gr.Interface(\n",
" 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": "code",
- "execution_count": null,
+ "execution_count": 186,
+ "id": "1f3906c9-2bb2-40ca-acc9-c3e8a7c4c61c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def chat_gemini(prompt):\n",
+ " gemini = google.generativeai.GenerativeModel(\n",
+ " model_name='gemini-1.5-flash',\n",
+ " system_instruction=system_message\n",
+ " )\n",
+ " response = gemini.generate_content(prompt)\n",
+ " return(response.text)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 187,
+ "id": "a14cddc3-7a1e-4c09-98f4-ee6b33486922",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'Hello! 👋 How can I help you today? 😊 \\n'"
+ ]
+ },
+ "execution_count": 187,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "chat_gemini(\"Hello\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 87,
+ "id": "6d74e2de-1fcd-49d4-9991-bffa7f5099ec",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7879\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 87,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "gr.Interface(fn=chat_gemini, inputs=\"textbox\", outputs=\"textbox\").launch()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "223465b1-6699-4d34-b1a9-38306edc4ca7",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def stream_gemini(prompt):\n",
+ " gemini = google.generativeai.GenerativeModel(\n",
+ " model_name='gemini-1.5-flash',\n",
+ " system_instruction=system_message\n",
+ " )\n",
+ " stream = gemini.generate_content(prompt, stream=True)\n",
+ " result = \"\"\n",
+ " for chunk in stream:\n",
+ " result += chunk.text or \"\"\n",
+ " yield result"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 223,
+ "id": "28dc9075-013b-43eb-a1ae-59097c781b86",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7897\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 223,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "view = gr.Interface(\n",
+ " fn=stream_gemini,\n",
+ " inputs=[gr.Textbox(label=\"Your message:\")],\n",
+ " outputs=[gr.Markdown(label=\"Response:\")],\n",
+ " flagging_mode=\"never\"\n",
+ ")\n",
+ "view.launch()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
"id": "0087623a-4e31-470b-b2e6-d8d16fc7bcf5",
"metadata": {},
"outputs": [],
@@ -308,26 +714,67 @@
"def stream_model(prompt, model):\n",
" if model==\"GPT\":\n",
" result = stream_gpt(prompt)\n",
+ " elif model==\"Gemini\":\n",
+ " result = stream_gemini(prompt)\n",
" elif model==\"Claude\":\n",
" result = stream_claude(prompt)\n",
" else:\n",
" raise ValueError(\"Unknown model\")\n",
- " for chunk in result:\n",
- " yield chunk"
+ " for reply in result:\n",
+ " yield reply"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 12,
"id": "8d8ce810-997c-4b6a-bc4f-1fc847ac8855",
- "metadata": {},
- "outputs": [],
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7860\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 12,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Using existing dataset file at: .gradio\\flagged\\dataset2.csv\n"
+ ]
+ }
+ ],
"source": [
"view = gr.Interface(\n",
" fn=stream_model,\n",
- " inputs=[gr.Textbox(label=\"Your message:\"), gr.Dropdown([\"GPT\", \"Claude\"], label=\"Select model\")],\n",
+ " inputs=[gr.Textbox(label=\"Your message:\"), gr.Dropdown([\"GPT\", \"Claude\", \"Gemini\"], label=\"Select model\")],\n",
" outputs=[gr.Markdown(label=\"Response:\")],\n",
- " allow_flagging=\"never\"\n",
+ " flagging_mode=\"auto\"\n",
")\n",
"view.launch()"
]
@@ -344,7 +791,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 18,
"id": "1626eb2e-eee8-4183-bda5-1591b58ae3cf",
"metadata": {},
"outputs": [],
@@ -372,50 +819,102 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 25,
"id": "c701ec17-ecd5-4000-9f68-34634c8ed49d",
"metadata": {},
"outputs": [],
"source": [
- "system_prompt = \"You are an assistant that analyzes the contents of a company website landing page \\\n",
- "and creates a short brochure about the company for prospective customers, investors and recruits. Respond in markdown.\""
+ "serious_system_prompt = \"You are an assistant that analyzes the contents of a company website landing page \\\n",
+ "and creates a short brochure about the company for prospective customers, investors and recruits. Use a serious tone in your respose. \\\n",
+ "Respond in markdown.\""
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 26,
+ "id": "67969d54-2ab5-4133-8d3d-83f08e63755d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "funny_system_prompt = \"You are an assistant that analyzes the contents of a company website landing page \\\n",
+ "and creates a short brochure about the company for prospective customers, investors and recruits. Use a funny tone in your response. \\\n",
+ "Respond in markdown.\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
"id": "5def90e0-4343-4f58-9d4a-0e36e445efa4",
"metadata": {},
"outputs": [],
"source": [
- "def stream_brochure(company_name, url, model):\n",
+ "def stream_brochure(company_name, url, model, mode):\n",
" prompt = f\"Please generate a company brochure for {company_name}. Here is their landing page:\\n\"\n",
" prompt += Website(url).get_contents()\n",
" if model==\"GPT\":\n",
" result = stream_gpt(prompt)\n",
" elif model==\"Claude\":\n",
" result = stream_claude(prompt)\n",
+ " elif model==\"Gemini\":\n",
+ " result = stream_gemini(prompt)\n",
+ " else:\n",
+ " raise ValueError(\"Unknown model\")\n",
+ " if mode==\"Funny\":\n",
+ " system_prompt = funny_system_prompt\n",
+ " elif mode==\"Serious\":\n",
+ " system_prompt = serious_system_prompt\n",
" else:\n",
" raise ValueError(\"Unknown model\")\n",
- " for chunk in result:\n",
- " yield chunk"
+ " for reply in result:\n",
+ " yield reply"
]
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 28,
"id": "66399365-5d67-4984-9d47-93ed26c0bd3d",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "* Running on local URL: http://127.0.0.1:7864\n",
+ "\n",
+ "To create a public link, set `share=True` in `launch()`.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"view = gr.Interface(\n",
" fn=stream_brochure,\n",
" inputs=[\n",
" gr.Textbox(label=\"Company name:\"),\n",
" gr.Textbox(label=\"Landing page URL:\"),\n",
- " gr.Dropdown([\"GPT\", \"Claude\"], label=\"Select model\")],\n",
+ " gr.Dropdown([\"GPT\", \"Claude\", \"Gemini\"], label=\"Select model\"),\n",
+ " gr.Dropdown([\"Funny\", \"Serious\"], label=\"Select mode\")],\n",
" outputs=[gr.Markdown(label=\"Brochure:\")],\n",
- " allow_flagging=\"never\"\n",
+ " flagging_mode=\"never\"\n",
")\n",
"view.launch()"
]
@@ -445,7 +944,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.11.10"
+ "version": "3.12.0"
}
},
"nbformat": 4,