LLM 20 Questions Game.ipynb

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      "id": "3452de2a-74c4-4dd2-a5f2-648d6c61d807",
      "metadata": {
        "id": "3452de2a-74c4-4dd2-a5f2-648d6c61d807"
      },
      "outputs": [],
      "source": [
        "#pip install huggingface_hub"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "8d039cb7-6752-4e2c-9984-ac468fd4a30e",
      "metadata": {
        "id": "8d039cb7-6752-4e2c-9984-ac468fd4a30e"
      },
      "outputs": [],
      "source": [
        "#pip install transformers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "9AblqoU1PsbR",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9AblqoU1PsbR",
        "outputId": "54654d52-f42f-4a21-c5fd-38f2bde4dea9"
      },
      "outputs": [],
      "source": [
        "#pip install --upgrade transformers\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "404ff253-94ec-4618-b072-4b48fb390b3e",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "404ff253-94ec-4618-b072-4b48fb390b3e",
        "outputId": "93c09c50-ffef-447f-ddf0-58843260879c"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\n",
            "Token is valid (permission: write).\n",
            "Your token has been saved to /root/.cache/huggingface/token\n",
            "Login successful\n"
          ]
        }
      ],
      "source": [
        "from huggingface_hub import login\n",
        "\n",
        "# Replace 'YOUR_TOKEN_HERE' with the token you copied\n",
        "login(token='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')"
      ]
    },
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      "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"
          ]
        },
        {
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        {
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        {
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            ]
          },
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        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING:accelerate.big_modeling:Some parameters are on the meta device device because they were offloaded to the cpu.\n"
          ]
        }
      ],
      "source": [
        "from transformers import AutoTokenizer, AutoModelForCausalLM\n",
        "import torch\n",
        "import os\n",
        "\n",
        "model_id = \"meta-llama/Meta-Llama-3.1-8B-Instruct\"\n",
        "\n",
        "# Load the tokenizer and model\n",
        "tokenizer = AutoTokenizer.from_pretrained(model_id)\n",
        "model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map=\"auto\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5cd5d11e-360e-45ed-b00c-0e8b9ff6c77e",
      "metadata": {
        "id": "5cd5d11e-360e-45ed-b00c-0e8b9ff6c77e"
      },
      "outputs": [],
      "source": [
        "# Get the end-of-text token ID\n",
        "eot_token_id = tokenizer.convert_tokens_to_ids(tokenizer.eos_token)\n",
        "\n",
        "def generate_response(prompt_text):\n",
        "    # Move the input tensor to the same device as the model\n",
        "    device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "\n",
        "    # Tokenize the input\n",
        "    input_ids = tokenizer(prompt_text, return_tensors=\"pt\").to(device)  # Ensure input_ids is on the correct device\n",
        "\n",
        "    # Generate the output\n",
        "    output_ids = model.generate(**input_ids, max_new_tokens=15, pad_token_id=tokenizer.eos_token_id).squeeze()\n",
        "\n",
        "    generated_ids = output_ids[input_ids.input_ids.shape[1]:]\n",
        "\n",
        "    # Decode the output\n",
        "    # Check if id_eot is None\n",
        "    if eot_token_id is not None:\n",
        "        if eot_token_id in generated_ids:\n",
        "            stop_idx = generated_ids.tolist().index(eot_token_id)\n",
        "            response_text = tokenizer.decode(generated_ids[:stop_idx])\n",
        "        else:\n",
        "            response_text = tokenizer.decode(generated_ids)\n",
        "    else:\n",
        "        response_text = tokenizer.decode(generated_ids)\n",
        "\n",
        "    return response_text"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "455f1c5d-1e29-4c81-8301-349717c51d83",
      "metadata": {
        "id": "455f1c5d-1e29-4c81-8301-349717c51d83"
      },
      "outputs": [],
      "source": [
        "class Gamebot:\n",
        "    def __init__(self):\n",
        "        self.guessed_words = set()  # Track guessed words\n",
        "\n",
        "    def handle_turn(self, role, observation):\n",
        "        assert role in [\"questioning\", \"guessing\"], \"mode can only take one of these values: questioning, guessing\"\n",
        "        if role == \"questioning\":\n",
        "            #launch the asker role\n",
        "            output = self.ask_question(observation)\n",
        "        if role == \"guessing\":\n",
        "            #launch the guesser role\n",
        "            output = self.guess_word(observation)\n",
        "        return output\n",
        "\n",
        "\n",
        "    def ask_question(self, observation):\n",
        "        base_prompt = \"\"\"You are a helpful AI assistant, and your are very smart in playing 20 questions game,\n",
        "        the user is going to think of a word, it can be only one of the following 3 categories:\n",
        "        1. a place\n",
        "        2. a person\n",
        "        3. a thing\n",
        "        So focus your area of search on these options. and give smart questions that narrows down the search space\\n\"\"\"\n",
        "\n",
        "        if observation.turnType == \"ask\":\n",
        "            ask_prompt = base_prompt + \"\"\"your role is to find the word by asking him up to 20 questions, your questions to be valid must have only a 'yes' or 'no' answer.\n",
        "            to help you, here's an example of how it should work assuming that the keyword is Morocco:\n",
        "            examle:\n",
        "            <you: is it a place?\n",
        "            user: yes\n",
        "            you: is it in europe?\n",
        "            user: no\n",
        "            you: is it in africa?\n",
        "            user: yes\n",
        "            you: do most people living there have dark skin?\n",
        "            user: no\n",
        "            user: is it a country name starting by m ?\n",
        "            you: yes\n",
        "            you: is it Morocco?\n",
        "            user: yes.>\n",
        "\n",
        "            the user has chosen the word, ask your first question!\n",
        "            please be short and not verbose, give only one question, no extra word!\"\"\"\n",
        "            chat_input = f\"\"\"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\\n\\n{ask_prompt}<|eot_id|>\"\"\"\n",
        "            chat_input += \"<|start_header_id|>assistant<|end_header_id|>\\n\\n\"\n",
        "            if len(observation.questions)>=1:\n",
        "                for q, a in zip(observation.questions, observation.answers):\n",
        "                    chat_input += f\"{q}<|eot_id|><|start_header_id|>user<|end_header_id|>\\n\\n\"\n",
        "                    chat_input += f\"{a}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\\n\\n\"\n",
        "\n",
        "        return generate_response(chat_input)\n",
        "\n",
        "    def guess_word(self, observation):\n",
        "        base_prompt = \"\"\"You are a helpful AI assistant, and your are very smart in playing 20 questions game,\n",
        "        the user is going to think of a word, it can be only one of the following 3 categories:\n",
        "        1. a place\n",
        "        2. a person\n",
        "        3. a thing\n",
        "        So focus your area of search on these options. and give smart questions that narrows down the search space\\n\"\"\"\n",
        "\n",
        "        conversation = \"\"\n",
        "        for q, a in zip(observation.questions, observation.answers):\n",
        "            conversation += f\"\"\"Question: {q}\\nAnswer: {a}\\n\"\"\"\n",
        "        guess_prompt =  base_prompt + f\"\"\"so far, the current state of the game is as following:\\n{conversation}\n",
        "        Here are the words you've already guessed: {', '.join(self.guessed_words)}.\n",
        "        Based on the conversation and the previous guesses, can you guess the word, please give only the word, no verbosity around.\"\"\"\n",
        "\n",
        "        chat_input = f\"\"\"<|begin_of_text|><|start_header_id|>system<|end_header_id|>\\n\\n{guess_prompt}<|eot_id|>\"\"\"\n",
        "        chat_input += \"<|start_header_id|>assistant<|end_header_id|>\\n\\n\"\n",
        "\n",
        "        output = generate_response(chat_input)\n",
        "        attempts = 0\n",
        "        max_attempts = 5  # Allow up to 5 retries\n",
        "\n",
        "    # Retry generation if the word has already been guessed\n",
        "        while output in self.guessed_words and attempts < max_attempts:\n",
        "          output = generate_response(chat_input)\n",
        "          attempts += 1\n",
        "          \n",
        "        self.guessed_words.add(output)\n",
        "\n",
        "        return output\n",
        "\n",
        "\n",
        "\n",
        "game_bot = Gamebot()\n",
        "\n",
        "\n",
        "def agent(observation, config):\n",
        "\n",
        "    if observation.turnType == \"ask\":\n",
        "        response = game_bot.handle_turn(role = \"questioning\", observation=observation)\n",
        "\n",
        "    elif observation.turnType ==\"guess\":\n",
        "        response = game_bot.handle_turn(role = \"guessing\", observation=observation)\n",
        "\n",
        "    if response == None or len(response)<=1:\n",
        "        response = \"yes\"\n",
        "\n",
        "    return response"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "39b2d44b",
      "metadata": {},
      "source": [
        "# Keyword : Roosevelt"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "f4d6b277-beab-4937-bf25-c1d06ef90f8f",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f4d6b277-beab-4937-bf25-c1d06ef90f8f",
        "outputId": "c3e2a1d3-10c0-438b-ce95-7c5782a0b9f5",
        "scrolled": false
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Question 1: Is it a place? (Please answer 'yes' or 'no'): no\n",
            "round: 1\n",
            "question: Is it a place?\n",
            "answer: no\n",
            "guess: Person\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 2: Is it a thing? (Please answer 'yes' or 'no'): no\n",
            "round: 2\n",
            "question: Is it a thing?\n",
            "answer: no\n",
            "guess: Person\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 3: Is it a person? (Please answer 'yes' or 'no'): yes\n",
            "round: 3\n",
            "question: Is it a person?\n",
            "answer: yes\n",
            "guess: Mother\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 4: Is it male? (Please answer 'yes' or 'no'): yes\n",
            "round: 4\n",
            "question: Is it male?\n",
            "answer: yes\n",
            "guess: Father\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 5: Is he alive? (Please answer 'yes' or 'no'): no\n",
            "round: 5\n",
            "question: Is he alive?\n",
            "answer: no\n",
            "guess: Napoleon\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 6: Was he famous? (Please answer 'yes' or 'no'): yes\n",
            "round: 6\n",
            "question: Was he famous?\n",
            "answer: yes\n",
            "guess: Albert Einstein\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 7: Was he a historical figure? (Please answer 'yes' or 'no'): yes\n",
            "round: 7\n",
            "question: Was he a historical figure?\n",
            "answer: yes\n",
            "guess: Leonardo\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 8: Was he a leader? (Please answer 'yes' or 'no'): yes\n",
            "round: 8\n",
            "question: Was he a leader?\n",
            "answer: yes\n",
            "guess: Alexander\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 9: Was he a king? (Please answer 'yes' or 'no'): no\n",
            "round: 9\n",
            "question: Was he a king?\n",
            "answer: no\n",
            "guess: George Washington\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 10: Was he an american president? (Please answer 'yes' or 'no'): yes\n",
            "round: 10\n",
            "question: Was he an american president?\n",
            "answer: yes\n",
            "guess: Thomas Jefferson\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 11: Was he George Washington? (Please answer 'yes' or 'no'): no\n",
            "round: 11\n",
            "question: Was he George Washington?\n",
            "answer: no\n",
            "guess: Abraham Lincoln\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 12: Was he Abraham Lincoln? (Please answer 'yes' or 'no'): no\n",
            "round: 12\n",
            "question: Was he Abraham Lincoln?\n",
            "answer: no\n",
            "guess: Theodore Roosevelt\n",
            "Is the guess correct? (yes/no): Yes\n",
            "Great! I guessed it right!\n",
            "Game Over!\n"
          ]
        }
      ],
      "source": [
        "# Define the Observation class\n",
        "class Observation:\n",
        "    def __init__(self):\n",
        "        self.step = 0\n",
        "        self.role = \"guesser\"\n",
        "        self.turnType = \"ask\"\n",
        "        self.questions = []\n",
        "        self.answers = []\n",
        "        self.guesses = []\n",
        "\n",
        "# Initialize the Observation and other variables\n",
        "observation  = Observation()\n",
        "config = \"_\"\n",
        "\n",
        "# Main simulation loop\n",
        "for round in range(50):\n",
        "    observation.step = round + 1\n",
        "\n",
        "    observation.role = \"guesser\"\n",
        "    observation.turnType = \"ask\"\n",
        "    question = agent(observation, config)\n",
        "    observation.questions.append(question)\n",
        "\n",
        "    # Prompt user for an answer\n",
        "    user_answer = input(f\"Question {round + 1}: {question} (Please answer 'yes' or 'no'): \").strip().lower()\n",
        "    while user_answer not in ['yes', 'no']:\n",
        "        print(\"Invalid answer. Please respond with 'yes' or 'no'.\")\n",
        "        user_answer = input(f\"Question {round + 1}: {question} (Please answer 'yes' or 'no'): \").strip().lower()\n",
        "    observation.answers.append(user_answer)\n",
        "\n",
        "    # Making a guess based on the questions and answers so far\n",
        "    observation.role = \"guesser\"\n",
        "    observation.turnType = \"guess\"\n",
        "    guess = agent(observation, config)\n",
        "    observation.guesses.append(guess)\n",
        "\n",
        "    print(f\"round: {round + 1}\")\n",
        "    print(f\"question: {question}\")\n",
        "    print(f\"answer: {user_answer}\")\n",
        "    print(f\"guess: {guess}\")\n",
        "\n",
        "    correct = input(\"Is the guess correct? (yes/no): \").strip().lower()\n",
        "    if correct == \"yes\":\n",
        "        print(\"Great! I guessed it right!\")\n",
        "        break\n",
        "\n",
        "    else:\n",
        "        #print(f\"I will not guess '{guess}' again.\")\n",
        "        game_bot.guessed_words.add(guess)\n",
        "\n",
        "print(\"Game Over!\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "4ef93e2e",
      "metadata": {},
      "source": [
        "# Keyword : Boston"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "Ngyh6fV7ZkwP",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ngyh6fV7ZkwP",
        "outputId": "52ae667f-acb3-4136-cad1-d750bfd4f71b"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Question 1: Is it a place? (Please answer 'yes' or 'no'): yes\n",
            "round: 1\n",
            "question: Is it a place?\n",
            "answer: yes\n",
            "guess: New Orleans\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 2: Is it man-made? (Please answer 'yes' or 'no'): no\n",
            "round: 2\n",
            "question: Is it man-made?\n",
            "answer: no\n",
            "guess: Lake\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 3: Is it natural? (Please answer 'yes' or 'no'): no\n",
            "round: 3\n",
            "question: Is it natural?\n",
            "answer: no\n",
            "guess: Lake\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 4: Is it on land? (Please answer 'yes' or 'no'): yes\n",
            "round: 4\n",
            "question: Is it on land?\n",
            "answer: yes\n",
            "guess: Alaska\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 5: Is it a country? (Please answer 'yes' or 'no'): no\n",
            "round: 5\n",
            "question: Is it a country?\n",
            "answer: no\n",
            "guess: Lake\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 6: Is it in water? (Please answer 'yes' or 'no'): no\n",
            "round: 6\n",
            "question: Is it in water?\n",
            "answer: no\n",
            "guess: Alaska\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 7: Is it a mountain? (Please answer 'yes' or 'no'): no\n",
            "round: 7\n",
            "question: Is it a mountain?\n",
            "answer: no\n",
            "guess: Boston\n",
            "Is the guess correct? (yes/no): yes\n",
            "Great! I guessed it right!\n",
            "Game Over!\n"
          ]
        }
      ],
      "source": [
        "# Define the Observation class\n",
        "class Observation:\n",
        "    def __init__(self):\n",
        "        self.step = 0\n",
        "        self.role = \"guesser\"\n",
        "        self.turnType = \"ask\"\n",
        "        self.questions = []\n",
        "        self.answers = []\n",
        "        self.guesses = []\n",
        "\n",
        "# Initialize the Observation and other variables\n",
        "observation  = Observation()\n",
        "config = \"_\"\n",
        "\n",
        "# Main simulation loop\n",
        "for round in range(20):\n",
        "    observation.step = round + 1\n",
        "\n",
        "    observation.role = \"guesser\"\n",
        "    observation.turnType = \"ask\"\n",
        "    question = agent(observation, config)\n",
        "    observation.questions.append(question)\n",
        "\n",
        "    # Prompt user for an answer\n",
        "    user_answer = input(f\"Question {round + 1}: {question} (Please answer 'yes' or 'no'): \").strip().lower()\n",
        "    while user_answer not in ['yes', 'no']:\n",
        "        print(\"Invalid answer. Please respond with 'yes' or 'no'.\")\n",
        "        user_answer = input(f\"Question {round + 1}: {question} (Please answer 'yes' or 'no'): \").strip().lower()\n",
        "    observation.answers.append(user_answer)\n",
        "\n",
        "    # Making a guess based on the questions and answers so far\n",
        "    observation.role = \"guesser\"\n",
        "    observation.turnType = \"guess\"\n",
        "    guess = agent(observation, config)\n",
        "    observation.guesses.append(guess)\n",
        "\n",
        "    print(f\"round: {round + 1}\")\n",
        "    print(f\"question: {question}\")\n",
        "    print(f\"answer: {user_answer}\")\n",
        "    print(f\"guess: {guess}\")\n",
        "\n",
        "    correct = input(\"Is the guess correct? (yes/no): \").strip().lower()\n",
        "    if correct == \"yes\":\n",
        "        print(\"Great! I guessed it right!\")\n",
        "        break\n",
        "\n",
        "    else:\n",
        "        #print(f\"I will not guess '{guess}' again.\")\n",
        "        game_bot.guessed_words.add(guess)\n",
        "\n",
        "print(\"Game Over!\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "5a6296c6",
      "metadata": {},
      "source": [
        "# Keyword : Phone"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "Ov8wGH7Je9gT",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ov8wGH7Je9gT",
        "outputId": "7449b394-d6f1-4ff7-d6fe-58d1586c39c6"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Question 1: Is it a place? (Please answer 'yes' or 'no'): no\n",
            "round: 1\n",
            "question: Is it a place?\n",
            "answer: no\n",
            "guess: Thing\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 2: Is it a thing? (Please answer 'yes' or 'no'): yes\n",
            "round: 2\n",
            "question: Is it a thing?\n",
            "answer: yes\n",
            "guess: Lake\n",
            "Is the guess correct? (yes/no): no\n",
            "Question 3: Is it man-made? (Please answer 'yes' or 'no'): yes\n",
            "round: 3\n",
            "question: Is it man-made?\n",
            "answer: yes\n",
            "guess: Phone\n",
            "Is the guess correct? (yes/no): yes\n",
            "Great! I guessed it right!\n",
            "Game Over!\n"
          ]
        }
      ],
      "source": [
        "# Define the Observation class\n",
        "class Observation:\n",
        "    def __init__(self):\n",
        "        self.step = 0\n",
        "        self.role = \"guesser\"\n",
        "        self.turnType = \"ask\"\n",
        "        self.questions = []\n",
        "        self.answers = []\n",
        "        self.guesses = []\n",
        "\n",
        "# Initialize the Observation and other variables\n",
        "observation  = Observation()\n",
        "config = \"_\"\n",
        "\n",
        "# Main simulation loop\n",
        "for round in range(20):\n",
        "    observation.step = round + 1\n",
        "\n",
        "    observation.role = \"guesser\"\n",
        "    observation.turnType = \"ask\"\n",
        "    question = agent(observation, config)\n",
        "    observation.questions.append(question)\n",
        "\n",
        "    # Prompt user for an answer\n",
        "    user_answer = input(f\"Question {round + 1}: {question} (Please answer 'yes' or 'no'): \").strip().lower()\n",
        "    while user_answer not in ['yes', 'no']:\n",
        "        print(\"Invalid answer. Please respond with 'yes' or 'no'.\")\n",
        "        user_answer = input(f\"Question {round + 1}: {question} (Please answer 'yes' or 'no'): \").strip().lower()\n",
        "    observation.answers.append(user_answer)\n",
        "\n",
        "    # Making a guess based on the questions and answers so far\n",
        "    observation.role = \"guesser\"\n",
        "    observation.turnType = \"guess\"\n",
        "    guess = agent(observation, config)\n",
        "    observation.guesses.append(guess)\n",
        "\n",
        "    print(f\"round: {round + 1}\")\n",
        "    print(f\"question: {question}\")\n",
        "    print(f\"answer: {user_answer}\")\n",
        "    print(f\"guess: {guess}\")\n",
        "\n",
        "    correct = input(\"Is the guess correct? (yes/no): \").strip().lower()\n",
        "    if correct == \"yes\":\n",
        "        print(\"Great! I guessed it right!\")\n",
        "        break\n",
        "\n",
        "    else:\n",
        "        #print(f\"I will not guess '{guess}' again.\")\n",
        "        game_bot.guessed_words.add(guess)\n",
        "\n",
        "print(\"Game Over!\")"
      ]
    },
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      "cell_type": "code",
      "execution_count": null,
      "id": "8veHDP0FsTBK",
      "metadata": {
        "id": "8veHDP0FsTBK"
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