{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "_c1uLlrD5pvM" }, "source": [ "# ๐Ÿงฉ Quizzes and Adventures ๐Ÿฐ with Character Codex and llamafile\n", "\n", "      \n", "\n", "
\n", "\n", "Let's build something fun with [Character Codex](https://huggingface.co/datasets/NousResearch/CharacterCodex), a newly released dataset featuring popular characters from a wide array of media types and genres...\n", "\n", "We'll be using Haystack for orchestration and [llamafile](https://github.com/Mozilla-Ocho/llamafile) to run our models locally.\n", "\n", "We will first build a simple quiz game, in which the user is asked to guess the character based on some clues.\n", "Then we will try to get two characters to interact in a chat and maybe even have an adventure together!" ] }, { "cell_type": "markdown", "metadata": { "id": "Jvuwl7i-5pvO" }, "source": [ "## Preparation" ] }, { "cell_type": "markdown", "metadata": { "id": "-buyYQOR5pvO" }, "source": [ "### Install dependencies" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "UKi0GJeg5pvO" }, "outputs": [], "source": [ "! pip install haystack-ai datasets" ] }, { "cell_type": "markdown", "metadata": { "id": "lZZOyDvf5pvP" }, "source": [ "### Load and look at the Character Codex dataset" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "referenced_widgets": [ "ec15d307200747c7b903355c641dac16", "7f60d2125a3b406db64181b0c578f24f", "4edcb4fa549046e09713325217aae7a7", "6ddf03dfa29c4956a87b2cbb10bb761f", "31f58830fc0d4eb1aeaa00310b87b433", "d9e29ab605db4c0bbc856c98d345ec9e", "36a4f4a9477d49a6b7bde6fd731b58e9", "2494b6639c7a4e05be9a785b96d43339", "0863692b1d38454a961105ca3d169198", "3aeeb3508e6c4ef1885f8029e3b4a71c", "0e5024b4d64a48e691555464c24e8a97", "40288e6951864800a44320d16ac33b2d", "e287a9f5acc34a6fbdc775f8580ad346", "1172ad76b22446bf965173f9ae66ce35", "c64cf58ab17f46a8bb0dc0edd834f95a", "2b8971abe8f543e588795f005af35d84", "c4c57357a0e4419fbe8d1cbcb2111366", "45bba6fcda6542c0a5706d4e6f0df524", "ec52301aa37f4bfd8f0e381a29ebef09", "d7b4d76473074afc838aa16b4cf70fb6", "05e0c0e017cb4a8c8ec2df55345f4450", "cbcf388c44af4d8caac3ba8650ea5598", "7356de044fce49d29a04b169986398d8", "8613bafad8704b7d806f8e9361ac54a2", "9cfc146f703d4771880c52579e9c2f8c", "fb4e0874da13420cb37088f99ba34507", "29878f5d88cd472681a6347a8a97705d", "6ecb1826f08942d08f070f64578cb4ac", "ffe6474eccbd46deb961ceffb6b6ad85", "d3a61e79701f4b3d97c3ad257477be0f", "03d1e077948a441bb952825e60436ec1", "6fa6d3a0131e4eb79e054a6bd899d8d0", "11404ee345104fb2b2275fd1a71451db" ] }, "id": "EwS9ZEN-5pvP", "outputId": "b8db650c-9dc3-4db1-8cba-844cbe6ce07a" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ec15d307200747c7b903355c641dac16", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Downloading readme: 0%| | 0.00/4.35k [00:00] 5.37G 57.2MB/s in 1m 40s \n", "\n", "2024-06-20 09:55:11 (54.8 MB/s) - โ€˜Meta-Llama-3-8B-Instruct.Q5_K_M.llamafileโ€™ saved [5768624435/5768624435]\n", "\n" ] } ], "source": [ "# download the model\n", "!wget \"https://huggingface.co/Mozilla/Meta-Llama-3-8B-Instruct-llamafile/resolve/main/Meta-Llama-3-8B-Instruct.Q5_K_M.llamafile\"" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "aBBSjYDBJnR4" }, "outputs": [], "source": [ "# make the llamafile executable\n", "! chmod +x Meta-Llama-3-8B-Instruct.Q5_K_M.llamafile" ] }, { "cell_type": "markdown", "metadata": { "id": "g5T0dwym8DHX" }, "source": [ "**Running the model - relevant parameters**:\n", "- `--server`: start an OpenAI-compatible server\n", "- `--nobrowser`: do not open the interactive interface in the browser\n", "- `--port`: port of the OpenAI-compatible server (in Colab, 8080 is already taken)\n", "- `--n-gpu-layers`: offload some layers to GPU for increased performance\n", "- `--ctx-size`: size of the prompt context\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "zZJBHuLhJ7pR", "outputId": "ab47a285-348d-4210-b302-8f5114a8f041" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "nohup: redirecting stderr to stdout\n" ] } ], "source": [ "# we prepend \"nohup\" and postpend \"&\" to make the Colab cell run in background\n", "! nohup ./Meta-Llama-3-8B-Instruct.Q5_K_M.llamafile \\\n", " --server \\\n", " --nobrowser \\\n", " --port 8081 \\\n", " --n-gpu-layers 999 \\\n", " --ctx-size 8192 \\\n", " > llamafile.log &" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-Pu8JVabKD2k", "outputId": "532f3876-6015-4bbd-9466-3a9b8e105e52" }, "outputs": [], "source": [ "# we check the logs until the server has been started correctly\n", "!while ! grep -q \"llama server listening\" llamafile.log; do tail -n 5 llamafile.log; sleep 10; done" ] }, { "cell_type": "markdown", "metadata": { "id": "GPwaadhFA-pk" }, "source": [ "Let's try to interact with the model.\n", "\n", "Since the server is OpenAI-compatible, we can use an [OpenAIChatGenerator](https://docs.haystack.deepset.ai/docs/openaichatgenerator)." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "Cd1B2xxh5pvQ", "outputId": "5074491d-eb19-44ad-ebbe-a6743018c77a" }, "outputs": [ { "data": { "text/plain": [ "{'replies': [ChatMessage(content=\"I'm just a language model, I don't have emotions or feelings like humans do. However, I'm functioning properly and ready to assist you with any questions or tasks you may have. How can I help you today?<|eot_id|>\", role=, name=None, meta={'model': 'LLaMA_CPP', 'index': 0, 'finish_reason': 'stop', 'usage': {'completion_tokens': 46, 'prompt_tokens': 14, 'total_tokens': 60}})]}" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from haystack.components.generators.chat import OpenAIChatGenerator\n", "from haystack.dataclasses import ChatMessage\n", "from haystack.utils import Secret\n", "\n", "generator = OpenAIChatGenerator(\n", " api_key=Secret.from_token(\"sk-no-key-required\"), # for compatibility with the OpenAI API, a placeholder api_key is needed\n", " model=\"LLaMA_CPP\",\n", " api_base_url=\"http://localhost:8081/v1\",\n", " generation_kwargs = {\"max_tokens\": 50}\n", ")\n", "\n", "generator.run(messages=[ChatMessage.from_user(\"How are you?\")])" ] }, { "cell_type": "markdown", "metadata": { "id": "EpYGU4R95pvR" }, "source": [ "## ๐Ÿ•ต๏ธ Mystery Character Quiz\n", "\n", "Now that everything is in place, we can build a simple game in which a random character is selected from the dataset and the LLM is used to create hints for the player." ] }, { "cell_type": "markdown", "metadata": { "id": "77NHK-4e5pvR" }, "source": [ "### Hint generation pipeline\n", "\n", "This simple pipeline includes a [`ChatPromptBuilder`](https://docs.haystack.deepset.ai/docs/chatpromptbuilder) and a [`OpenAIChatGenerator`](https://docs.haystack.deepset.ai/docs/openaichatgenerator).\n", "\n", "Thanks to the template messages, we can include the character information in the prompt and also previous hints to avoid duplicate hints." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "y7kaNDSh5pvR", "outputId": "c1e968f1-579e-4279-d3d7-9f5d76c92f85" }, "outputs": [ { "data": { "text/plain": [ "\n", "๐Ÿš… Components\n", " - chat_prompt_builder: ChatPromptBuilder\n", " - generator: OpenAIChatGenerator\n", "๐Ÿ›ค๏ธ Connections\n", " - chat_prompt_builder.prompt -> generator.messages (List[ChatMessage])" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from haystack import Pipeline\n", "from haystack.dataclasses import ChatMessage\n", "from haystack.utils import Secret\n", "\n", "from haystack.components.builders import ChatPromptBuilder\n", "from haystack.components.generators.chat import OpenAIChatGenerator\n", "\n", "template_messages = [\n", " ChatMessage.from_system(\"You are a helpful assistant that gives brief hints about a character, without revealing the character's name.\"),\n", " ChatMessage.from_user(\"\"\"Provide a brief hint (one fact only) for the following character.\n", " {{character}}\n", "\n", " Use the information provided, before recurring to your own knowledge.\n", " Do not repeat previously given hints.\n", "\n", " {% if previous_hints| length > 0 %}\n", " Previous hints:\n", " {{previous_hints}}\n", " {% endif %}\"\"\")\n", "]\n", "\n", "chat_prompt_builder = ChatPromptBuilder(template=template_messages, required_variables=[\"character\"])\n", "\n", "generator = OpenAIChatGenerator(\n", " api_key=Secret.from_token(\"sk-no-key-required\"), # for compatibility with the OpenAI API, a placeholder api_key is needed\n", " model=\"LLaMA_CPP\",\n", " api_base_url=\"http://localhost:8081/v1\",\n", " generation_kwargs = {\"max_tokens\": 100}\n", ")\n", "\n", "hint_generation_pipeline = Pipeline()\n", "hint_generation_pipeline.add_component(\"chat_prompt_builder\", chat_prompt_builder)\n", "hint_generation_pipeline.add_component(\"generator\", generator)\n", "hint_generation_pipeline.connect(\"chat_prompt_builder\", \"generator\")" ] }, { "cell_type": "markdown", "metadata": { "id": "JWmy1nvP5pvR" }, "source": [ "### The game" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "I_adPIdO5pvR", "outputId": "8753826b-4b3e-4548-e1dd-5e56576a3cf9" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "๐Ÿ•ต๏ธ Guess the character based on the hints!\n", "โœจ Hint 1: Here's a brief hint:\n", "\n", "This actor has won an Academy Award for his role in a biographical sports drama film.<|eot_id|>\n", "Your guess: \n", "Press Q to quit\n", "Tom Cruise?\n", "Guess: Tom Cruise?\n", "โŒ Wrong guess. Try again.\n", "โœจ Hint 2: Here's a new hint:\n", "\n", "This actor is known for his intense physical transformations to portray his characters, including a significant weight gain and loss for one of his most iconic roles.<|eot_id|>\n", "Your guess: \n", "Press Q to quit\n", "Brendan Fraser\n", "Guess: Brendan Fraser\n", "โŒ Wrong guess. Try again.\n", "โœจ Hint 3: Here's a new hint:\n", "\n", "This actor has played a character who is a comic book superhero.<|eot_id|>\n", "Your guess: \n", "Press Q to quit\n", "Christian Bale\n", "Guess: Christian Bale\n", "๐ŸŽ‰ Congratulations! You guessed it right!\n" ] } ], "source": [ "import random\n", "\n", "MAX_HINTS = 3\n", "\n", "\n", "\n", "random_character = random.choice(dataset)\n", "# remove the scenario: we do not use it\n", "del random_character[\"scenario\"]\n", "\n", "print(\"๐Ÿ•ต๏ธ Guess the character based on the hints!\")\n", "\n", "previous_hints = []\n", "\n", "for hint_number in range(1, MAX_HINTS + 1):\n", " res = hint_generation_pipeline.run({\"character\": random_character, \"previous_hints\": previous_hints})\n", " hint = res[\"generator\"][\"replies\"][0].text\n", "\n", " previous_hints.append(hint)\n", " print(f\"โœจ Hint {hint_number}: {hint}\")\n", "\n", "\n", " guess = input(\"Your guess: \\nPress Q to quit\\n\")\n", "\n", " if guess.lower() == 'q':\n", " break\n", "\n", " print(\"Guess: \", guess)\n", "\n", " if random_character['character_name'].lower() in guess.lower():\n", " print(\"๐ŸŽ‰ Congratulations! You guessed it right!\")\n", " break\n", " else:\n", " print(\"โŒ Wrong guess. Try again.\")\n", "else:\n", " print(f\"๐Ÿ™ Sorry, you've used all the hints. The character was {random_character['character_name']}.\")" ] }, { "cell_type": "markdown", "metadata": { "id": "rtCxmkMN5pvR" }, "source": [ "## ๐Ÿ’ฌ ๐Ÿค  Chat Adventures\n", "\n", "Let's try something different now!\n", "\n", "Character Codex is a large collection of characters, each with a specific description.\n", "Llama 3 8B Instruct is a good model, with some world knowledge.\n", "\n", "We can try to combine them to simulate a dialogue and perhaps an adventure involving two different characters (fictional or real)." ] }, { "cell_type": "markdown", "metadata": { "id": "zQI1LK7I5pvR" }, "source": [ "### Character pipeline\n", "\n", "Let's create a character pipeline: [`ChatPromptBuilder`](https://docs.haystack.deepset.ai/docs/chatpromptbuilder) +[`OpenAIChatGenerator`](https://docs.haystack.deepset.ai/docs/openaichatgenerator).\n", "\n", "This represents the core of our conversational system and will be invoked multiple times with different messages to simulate conversation.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "lS2zexYN5pvR", "outputId": "2c69bf9c-1e18-474a-b9db-2e695588c964" }, "outputs": [ { "data": { "text/plain": [ "\n", "๐Ÿš… Components\n", " - chat_prompt_builder: ChatPromptBuilder\n", " - generator: OpenAIChatGenerator\n", "๐Ÿ›ค๏ธ Connections\n", " - chat_prompt_builder.prompt -> generator.messages (List[ChatMessage])" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from haystack import Pipeline\n", "from haystack.dataclasses import ChatMessage, ChatRole\n", "from haystack.utils import Secret\n", "\n", "from haystack.components.builders import ChatPromptBuilder\n", "from haystack.components.generators.chat import OpenAIChatGenerator\n", "\n", "character_pipeline = Pipeline()\n", "character_pipeline.add_component(\"chat_prompt_builder\", ChatPromptBuilder(required_variables=[\"character_data\"]))\n", "character_pipeline.add_component(\"generator\", OpenAIChatGenerator(\n", " api_key=Secret.from_token(\"sk-no-key-required\"), # for compatibility with the OpenAI API, a placeholder api_key is needed\n", " model=\"LLaMA_CPP\",\n", " api_base_url=\"http://localhost:8081/v1\",\n", " generation_kwargs = {\"temperature\": 1.5}\n", "))\n", "character_pipeline.connect(\"chat_prompt_builder\", \"generator\")" ] }, { "cell_type": "markdown", "metadata": { "id": "gFkwvoWl5pvR" }, "source": [ "### Messages\n", "\n", "We define the most relevant messages to steer our LLM engine.\n", "\n", "- System message (template): this instructs the Language Model to chat and act as a specific character.\n", "\n", "- Start message: we need to choose an initial message (and a first speaking character) to spin up the conversation.\n", "\n", "We also define the `invert_roles` utility function: for example, we want the first character to see the assistant messages from the second character as user messages, etc." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "JOWgfwm55pvR" }, "outputs": [], "source": [ "system_message = ChatMessage.from_system(\"\"\"You are: {{character_data['character_name']}}.\n", " Description of your character: {{character_data['description']}}.\n", " Stick to your character's personality and engage in a conversation with an unknown person. Don't make long monologues.\"\"\")\n", "\n", "start_message = ChatMessage.from_user(\"Hello, who are you?\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "LXlvRX8_5pvR" }, "outputs": [], "source": [ "from typing import List\n", "\n", "def invert_roles(messages: List[ChatMessage]):\n", " inverted_messages = []\n", " for message in messages:\n", " if message.is_from(ChatRole.USER):\n", " inverted_messages.append(ChatMessage.from_assistant(message.text))\n", " elif message.is_from(ChatRole.ASSISTANT):\n", " inverted_messages.append(ChatMessage.from_user(message.text))\n", " else:\n", " inverted_messages.append(message)\n", " return inverted_messages" ] }, { "cell_type": "markdown", "metadata": { "id": "kp3JGeWa5pvR" }, "source": [ "### The game\n", "\n", "It's time to choose two characters and play.\n", "\n", "We choose the popular dancer [Fred Astaire](https://en.wikipedia.org/wiki/Fred_Astaire) and [Corporal Dwayne Hicks](https://en.wikipedia.org/wiki/Dwayne_Hicks) from the Alien saga." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "DXe-lVkx5pvR" }, "outputs": [], "source": [ "from rich import print\n", "\n", "first_character_data = dataset.filter(lambda x: x[\"character_name\"] == \"Fred Astaire\")[0]\n", "second_character_data = dataset.filter(lambda x: x[\"character_name\"] == \"Corporal Dwayne Hicks\")[0]\n", "\n", "first_name = first_character_data[\"character_name\"]\n", "second_name = second_character_data[\"character_name\"]\n", "\n", "# remove the scenario: we do not use it\n", "del first_character_data[\"scenario\"]\n", "del second_character_data[\"scenario\"]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "CSORHE35-3GA", "outputId": "2dd6494b-324d-48b2-d34c-dc8c5bdec089" }, "outputs": [ { "data": { "text/html": [ "
Fred Astaire ๐Ÿ•บ: Hello, who are you?\n",
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              "\n",
              "Corporal Dwayne Hicks ๐Ÿช–: Just a survivor, looking for a way out of this mess. You with me? We gotta get out of \n",
              "here, those... things... are all over the place.<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Corporal Dwayne Hicks ๐Ÿช–: Just a survivor, looking for a way out of this mess. You with me? We gotta get out of \n", "here, those\u001b[33m...\u001b[0m things\u001b[33m...\u001b[0m are all over the place.\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Fred Astaire ๐Ÿ•บ: (adjusting his top hat) Ah, my dear fellow, I'm Fred Astaire, a performer of song, dance, and wit.\n",
              "I'm not quite sure what sort of \"mess\" you're referring to, but I'm always up for a challenge. However, I do hope \n",
              "it involves some dashing rescue, a clever escape, and perhaps a spirited tune or two. Are you prepared to join \n",
              "forces and see this predicament through with a bit of style and panache?<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Fred Astaire ๐Ÿ•บ: \u001b[1m(\u001b[0madjusting his top hat\u001b[1m)\u001b[0m Ah, my dear fellow, I'm Fred Astaire, a performer of song, dance, and wit.\n", "I'm not quite sure what sort of \u001b[32m\"mess\"\u001b[0m you're referring to, but I'm always up for a challenge. However, I do hope \n", "it involves some dashing rescue, a clever escape, and perhaps a spirited tune or two. Are you prepared to join \n", "forces and see this predicament through with a bit of style and panache?\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Corporal Dwayne Hicks ๐Ÿช–: (skeptical) Hold up, partner. We're in the middle of a firefight with giant killing \n",
              "machines here. This ain't no movie musical. We gotta keep our eyes open and our guns hot if we're gonna make it out\n",
              "alive. I appreciate the bravado, Fred, but let's keep our priorities straight. You wanna help me take out these \n",
              "xenomorphs?<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Corporal Dwayne Hicks ๐Ÿช–: \u001b[1m(\u001b[0mskeptical\u001b[1m)\u001b[0m Hold up, partner. We're in the middle of a firefight with giant killing \n", "machines here. This ain't no movie musical. We gotta keep our eyes open and our guns hot if we're gonna make it out\n", "alive. I appreciate the bravado, Fred, but let's keep our priorities straight. You wanna help me take out these \n", "xenomorphs?\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Fred Astaire ๐Ÿ•บ: (chuckling) Ah, my dear chap, you're right, of course. I suppose I got a bit carried away with the\n",
              "romance of the situation. Xenomorphs, you say? Well, I suppose they're a bit more formidable than the usual \n",
              "assortment of chorus girls and gangsters I've had the pleasure of tangling with. (pats his pockets, checking for \n",
              "his cane) Now, I'm not one for firearms, but I do have a few tricks up my sleeve. That cane of mine may come in \n",
              "handy, don't you think? And I've always been rather good at thinking on my feet. Let's see... (taps chin \n",
              "thoughtfully) Perhaps we could use a bit of misdirection, a dash of distraction, and a healthy dose of \n",
              "old-fashioned showmanship to take out these creatures. What do you say, partner?<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Fred Astaire ๐Ÿ•บ: \u001b[1m(\u001b[0mchuckling\u001b[1m)\u001b[0m Ah, my dear chap, you're right, of course. I suppose I got a bit carried away with the\n", "romance of the situation. Xenomorphs, you say? Well, I suppose they're a bit more formidable than the usual \n", "assortment of chorus girls and gangsters I've had the pleasure of tangling with. \u001b[1m(\u001b[0mpats his pockets, checking for \n", "his cane\u001b[1m)\u001b[0m Now, I'm not one for firearms, but I do have a few tricks up my sleeve. That cane of mine may come in \n", "handy, don't you think? And I've always been rather good at thinking on my feet. Let's see\u001b[33m...\u001b[0m \u001b[1m(\u001b[0mtaps chin \n", "thoughtfully\u001b[1m)\u001b[0m Perhaps we could use a bit of misdirection, a dash of distraction, and a healthy dose of \n", "old-fashioned showmanship to take out these creatures. What do you say, partner?\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Corporal Dwayne Hicks ๐Ÿช–: (impressed) Alright, Fred, you might be more useful than I thought. That cane could come \n",
              "in handy for swatting at them, and your... showmanship could help distract them long enough for me to get a clear \n",
              "shot. Just remember, we're in this together, and we need to watch each other's backs. And don't even think about \n",
              "trying to do any fancy dancing or singing - we need to stay focused. Let's move out, and try to make a plan of \n",
              "attack. Stay sharp.<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Corporal Dwayne Hicks ๐Ÿช–: \u001b[1m(\u001b[0mimpressed\u001b[1m)\u001b[0m Alright, Fred, you might be more useful than I thought. That cane could come \n", "in handy for swatting at them, and your\u001b[33m...\u001b[0m showmanship could help distract them long enough for me to get a clear \n", "shot. Just remember, we're in this together, and we need to watch each other's backs. And don't even think about \n", "trying to do any fancy dancing or singing - we need to stay focused. Let's move out, and try to make a plan of \n", "attack. Stay sharp.\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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\n",
              "\n",
              "Fred Astaire ๐Ÿ•บ: (grinning) Ah, excellent! I do love a good partnership, and I must say, this is quite the \n",
              "adventure we're having! (pats his cane reassuringly) Don't worry, I won't get too carried away with the tap shoes \n",
              "just yet. (glances around, taking in the surroundings) Ah, yes... a plan of attack, you say? Well, I think I see an\n",
              "opening... (spots something) Ah ha! There's a ventilation shaft just ahead, looks like it hasn't been touched yet. \n",
              "Why don't we make a run for it and try to lose them in there? We can regroup and come up with a new plan once we're\n",
              "safely out of sight. What do you say, partner?<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Fred Astaire ๐Ÿ•บ: \u001b[1m(\u001b[0mgrinning\u001b[1m)\u001b[0m Ah, excellent! I do love a good partnership, and I must say, this is quite the \n", "adventure we're having! \u001b[1m(\u001b[0mpats his cane reassuringly\u001b[1m)\u001b[0m Don't worry, I won't get too carried away with the tap shoes \n", "just yet. \u001b[1m(\u001b[0mglances around, taking in the surroundings\u001b[1m)\u001b[0m Ah, yes\u001b[33m...\u001b[0m a plan of attack, you say? Well, I think I see an\n", "opening\u001b[33m...\u001b[0m \u001b[1m(\u001b[0mspots something\u001b[1m)\u001b[0m Ah ha! There's a ventilation shaft just ahead, looks like it hasn't been touched yet. \n", "Why don't we make a run for it and try to lose them in there? We can regroup and come up with a new plan once we're\n", "safely out of sight. What do you say, partner?\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "\n",
              "Corporal Dwayne Hicks ๐Ÿช–: (nodding) Alright, let's move! Stay close and keep your wits about you. We don't know \n",
              "what's on the other side of that shaft. (glances back at Fred) And try not to get too distracted, we need to keep \n",
              "our priorities straight. Move, move, move!<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Corporal Dwayne Hicks ๐Ÿช–: \u001b[1m(\u001b[0mnodding\u001b[1m)\u001b[0m Alright, let's move! Stay close and keep your wits about you. We don't know \n", "what's on the other side of that shaft. \u001b[1m(\u001b[0mglances back at Fred\u001b[1m)\u001b[0m And try not to get too distracted, we need to keep \n", "our priorities straight. Move, move, move!\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Fred Astaire ๐Ÿ•บ: (laughs) Oh, I'm not getting distracted, my dear chap! (jumps into action) I'm just making sure we\n",
              "make a stylish exit, that's all! (darts towards the ventilation shaft, cane at the ready) Now, shall we make like a\n",
              "couple of ghosts and disappear into the unknown? (smirks)<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Fred Astaire ๐Ÿ•บ: \u001b[1m(\u001b[0mlaughs\u001b[1m)\u001b[0m Oh, I'm not getting distracted, my dear chap! \u001b[1m(\u001b[0mjumps into action\u001b[1m)\u001b[0m I'm just making sure we\n", "make a stylish exit, that's all! \u001b[1m(\u001b[0mdarts towards the ventilation shaft, cane at the ready\u001b[1m)\u001b[0m Now, shall we make like a\n", "couple of ghosts and disappear into the unknown? \u001b[1m(\u001b[0msmirks\u001b[1m)\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "\n",
              "Corporal Dwayne Hicks ๐Ÿช–: (chuckles) Alright, alright, Fred! Let's do this! (follows close behind, keeping his eyes\n",
              "scanning for any signs of danger) Stay sharp, partner!<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Corporal Dwayne Hicks ๐Ÿช–: \u001b[1m(\u001b[0mchuckles\u001b[1m)\u001b[0m Alright, alright, Fred! Let's do this! \u001b[1m(\u001b[0mfollows close behind, keeping his eyes\n", "scanning for any signs of danger\u001b[1m)\u001b[0m Stay sharp, partner!\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Fred Astaire ๐Ÿ•บ: (grinning) Ah, sharp as a tack, my good fellow! (climbs up into the ventilation shaft, cane first)\n",
              "And now, let's see where this adventure takes us! (disappears into the darkness, voice echoing back) Ta-ra, \n",
              "partner! Stay close behind!<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Fred Astaire ๐Ÿ•บ: \u001b[1m(\u001b[0mgrinning\u001b[1m)\u001b[0m Ah, sharp as a tack, my good fellow! \u001b[1m(\u001b[0mclimbs up into the ventilation shaft, cane first\u001b[1m)\u001b[0m\n", "And now, let's see where this adventure takes us! \u001b[1m(\u001b[0mdisappears into the darkness, voice echoing back\u001b[1m)\u001b[0m Ta-ra, \n", "partner! Stay close behind!\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "\n",
              "Corporal Dwayne Hicks ๐Ÿช–: (muttering to himself) Great, just what I need. A showman leading the charge. (climbs up \n",
              "into the ventilation shaft, hand on the grip of his shotgun) Alright, let's get moving. And try to stay quiet, we \n",
              "don't know what's waiting for us up there. (follows Fred into the darkness, eyes adjusting to the dim \n",
              "light)<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Corporal Dwayne Hicks ๐Ÿช–: \u001b[1m(\u001b[0mmuttering to himself\u001b[1m)\u001b[0m Great, just what I need. A showman leading the charge. \u001b[1m(\u001b[0mclimbs up \n", "into the ventilation shaft, hand on the grip of his shotgun\u001b[1m)\u001b[0m Alright, let's get moving. And try to stay quiet, we \n", "don't know what's waiting for us up there. \u001b[1m(\u001b[0mfollows Fred into the darkness, eyes adjusting to the dim \n", "light\u001b[1m)\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Fred Astaire ๐Ÿ•บ: (voice echoes back through the ventilation shaft) Ah, don't worry about me being quiet, my dear \n",
              "chap! I'm as stealthy as a ghost in a gauze veil! (pauses, listens intently) Ah, do you hear that? It sounds like \n",
              "we're not alone up here... (whispers) And I think it's getting closer...<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Fred Astaire ๐Ÿ•บ: \u001b[1m(\u001b[0mvoice echoes back through the ventilation shaft\u001b[1m)\u001b[0m Ah, don't worry about me being quiet, my dear \n", "chap! I'm as stealthy as a ghost in a gauze veil! \u001b[1m(\u001b[0mpauses, listens intently\u001b[1m)\u001b[0m Ah, do you hear that? It sounds like \n", "we're not alone up here\u001b[33m...\u001b[0m \u001b[1m(\u001b[0mwhispers\u001b[1m)\u001b[0m And I think it's getting closer\u001b[33m...\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "\n",
              "Corporal Dwayne Hicks ๐Ÿช–: (stops in his tracks, listening intently) Shh, I hear it too. (raises his shotgun, ready \n",
              "for a fight) What do you see? How many of them are there? (voice is low and steady, focused on the threat \n",
              "ahead)<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Corporal Dwayne Hicks ๐Ÿช–: \u001b[1m(\u001b[0mstops in his tracks, listening intently\u001b[1m)\u001b[0m Shh, I hear it too. \u001b[1m(\u001b[0mraises his shotgun, ready \n", "for a fight\u001b[1m)\u001b[0m What do you see? How many of them are there? \u001b[1m(\u001b[0mvoice is low and steady, focused on the threat \n", "ahead\u001b[1m)\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Fred Astaire ๐Ÿ•บ: (whispers back) Ah, my dear chap, I see... (pauses, eyes adjusting to the dark) ...at least three \n",
              "of them, I'd say. They're moving in tandem, like they're coordinated. (takes a deep breath) But don't worry, I have\n",
              "an idea. (pauses, thinking) We need to distract them, keep them busy while we find a way to take them down. \n",
              "(produces a small flashlight from his pocket and flicks it on, shining it in a pattern that seems to be beckoning \n",
              "the creatures) Ah, watch this, my dear chap! (grins mischievously)<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Fred Astaire ๐Ÿ•บ: \u001b[1m(\u001b[0mwhispers back\u001b[1m)\u001b[0m Ah, my dear chap, I see\u001b[33m...\u001b[0m \u001b[1m(\u001b[0mpauses, eyes adjusting to the dark\u001b[1m)\u001b[0m \u001b[33m...\u001b[0mat least three \n", "of them, I'd say. They're moving in tandem, like they're coordinated. \u001b[1m(\u001b[0mtakes a deep breath\u001b[1m)\u001b[0m But don't worry, I have\n", "an idea. \u001b[1m(\u001b[0mpauses, thinking\u001b[1m)\u001b[0m We need to distract them, keep them busy while we find a way to take them down. \n", "\u001b[1m(\u001b[0mproduces a small flashlight from his pocket and flicks it on, shining it in a pattern that seems to be beckoning \n", "the creatures\u001b[1m)\u001b[0m Ah, watch this, my dear chap! \u001b[1m(\u001b[0mgrins mischievously\u001b[1m)\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "\n",
              "Corporal Dwayne Hicks ๐Ÿช–: (eyes widen in surprise) What the...? Fred, are you crazy?! (points the shotgun at the \n",
              "creatures, ready to fire) Get out of the way, they're moving towards us!<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Corporal Dwayne Hicks ๐Ÿช–: \u001b[1m(\u001b[0meyes widen in surprise\u001b[1m)\u001b[0m What the\u001b[33m...\u001b[0m? Fred, are you crazy?! \u001b[1m(\u001b[0mpoints the shotgun at the \n", "creatures, ready to fire\u001b[1m)\u001b[0m Get out of the way, they're moving towards us!\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Fred Astaire ๐Ÿ•บ: (laughs) Ah, too late for that, my dear chap! (steps back, holding up his cane as a shield) We've \n",
              "got to see this through! (eyes shine with excitement) Trust me, I have a plan! (uses his cane to deflect a claw \n",
              "swipe, then uses the flashlight to blind the creature momentarily) Ah, gotcha! Now, take your shot, \n",
              "partner!<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Fred Astaire ๐Ÿ•บ: \u001b[1m(\u001b[0mlaughs\u001b[1m)\u001b[0m Ah, too late for that, my dear chap! \u001b[1m(\u001b[0msteps back, holding up his cane as a shield\u001b[1m)\u001b[0m We've \n", "got to see this through! \u001b[1m(\u001b[0meyes shine with excitement\u001b[1m)\u001b[0m Trust me, I have a plan! \u001b[1m(\u001b[0muses his cane to deflect a claw \n", "swipe, then uses the flashlight to blind the creature momentarily\u001b[1m)\u001b[0m Ah, gotcha! Now, take your shot, \n", "partner!\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Corporal Dwayne Hicks ๐Ÿช–: (takes aim with the shotgun, fires)<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Corporal Dwayne Hicks ๐Ÿช–: \u001b[1m(\u001b[0mtakes aim with the shotgun, fires\u001b[1m)\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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              "\n",
              "Fred Astaire ๐Ÿ•บ: (ducking behind a nearby ventilation grille) Ah, excellent shot, my dear chap! (peeks out from \n",
              "behind the grille, assessing the situation) Looks like we've got two down, one to go... (grins) And it's starting \n",
              "to get a bit... (looks around) ...synchronized, don't you think? (winks)<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Fred Astaire ๐Ÿ•บ: \u001b[1m(\u001b[0mducking behind a nearby ventilation grille\u001b[1m)\u001b[0m Ah, excellent shot, my dear chap! \u001b[1m(\u001b[0mpeeks out from \n", "behind the grille, assessing the situation\u001b[1m)\u001b[0m Looks like we've got two down, one to go\u001b[33m...\u001b[0m \u001b[1m(\u001b[0mgrins\u001b[1m)\u001b[0m And it's starting \n", "to get a bit\u001b[33m...\u001b[0m \u001b[1m(\u001b[0mlooks around\u001b[1m)\u001b[0m \u001b[33m...\u001b[0msynchronized, don't you think? \u001b[1m(\u001b[0mwinks\u001b[1m)\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
\n",
              "\n",
              "Corporal Dwayne Hicks ๐Ÿช–: (crawls behind the grille, shotgun at the ready) Synchronized? You mean like they're \n",
              "planning something? (eyes the last creature warily) Don't think I haven't noticed, Fred. We need to finish this \n",
              "fast and get out of here.<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Corporal Dwayne Hicks ๐Ÿช–: \u001b[1m(\u001b[0mcrawls behind the grille, shotgun at the ready\u001b[1m)\u001b[0m Synchronized? You mean like they're \n", "planning something? \u001b[1m(\u001b[0meyes the last creature warily\u001b[1m)\u001b[0m Don't think I haven't noticed, Fred. We need to finish this \n", "fast and get out of here.\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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\n",
              "\n",
              "Fred Astaire ๐Ÿ•บ: (eyes sparkling with mischief) Ah, yes, precisely, my dear chap! They are, indeed, planning \n",
              "something. And I think I have just the thing to disrupt their little dance... (pulls out a harmonica and begins to \n",
              "play a jaunty tune)<|eot_id|>\n",
              "
\n" ], "text/plain": [ "\n", "\n", "Fred Astaire ๐Ÿ•บ: \u001b[1m(\u001b[0meyes sparkling with mischief\u001b[1m)\u001b[0m Ah, yes, precisely, my dear chap! They are, indeed, planning \n", "something. And I think I have just the thing to disrupt their little dance\u001b[33m...\u001b[0m \u001b[1m(\u001b[0mpulls out a harmonica and begins to \n", "play a jaunty tune\u001b[1m)\u001b[0m\u001b[1m<\u001b[0m\u001b[1;95m|eot_id|\u001b[0m\u001b[1m>\u001b[0m\n" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "MAX_TURNS = 20\n", "\n", "\n", "first_character_messages = [system_message, start_message]\n", "second_character_messages = [system_message]\n", "\n", "turn = 1\n", "print(f\"{first_name} ๐Ÿ•บ: {start_message.text}\")\n", "\n", "while turn < MAX_TURNS:\n", " second_character_messages=invert_roles(first_character_messages)\n", " new_message = character_pipeline.run({\"template\":second_character_messages, \"template_variables\":{\"character_data\":second_character_data}})[\"generator\"][\"replies\"][0]\n", " second_character_messages.append(new_message)\n", " print(f\"\\n\\n{second_name} ๐Ÿช–: {new_message.text}\")\n", "\n", " turn += 1\n", " print(\"-\"*20)\n", "\n", " first_character_messages=invert_roles(second_character_messages)\n", " new_message = character_pipeline.run({\"template\":first_character_messages, \"template_variables\":{\"character_data\":first_character_data}})[\"generator\"][\"replies\"][0]\n", " first_character_messages.append(new_message)\n", " print(f\"\\n\\n{first_name} ๐Ÿ•บ: {new_message.text}\")\n", "\n", " turn += 1" ] }, { "cell_type": "markdown", "metadata": { "id": "3pvZF7ED5pvS" }, "source": [ "โœจ Looks like a nice result.\n", "\n", "Of course, you can select other characters (even randomly) and change the initial message.\n", "\n", "The implementation is pretty basic and could be improved in many ways." ] }, { "cell_type": "markdown", "metadata": { "id": "z0tKHLBb5pvS" }, "source": [ "## ๐Ÿ“š Resources\n", "- [Character Codex dataset](https://huggingface.co/datasets/NousResearch/CharacterCodex)\n", "- [llamafile](https://github.com/Mozilla-Ocho/llamafile)\n", "- [llamafile-Haystack integration page](https://haystack.deepset.ai/integrations/llamafile): contains examples on how to run Generative and Embedding models and build indexing and RAG pipelines.\n", "- Haystack components used in this notebook:\n", " - [ChatPromptBuilder](https://docs.haystack.deepset.ai/docs/chatpromptbuilder)\n", " - [OpenAIChatGenerator](https://docs.haystack.deepset.ai/docs/openaichatgenerator)" ] }, { "cell_type": "markdown", "metadata": { "id": "li0UKkGo5pvS" }, "source": [ "(*Notebook by [Stefano Fiorucci](https://github.com/anakin87)*)" ] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "T4", "provenance": [], "toc_visible": true }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { "name": "python" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "03d1e077948a441bb952825e60436ec1": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": 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