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"Install the necessary libraries, such as `transformers` and `gradio`.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "df09e878" - }, - "source": [ - "**Reasoning**:\n", - "The subtask requires installing the `transformers` and `gradio` libraries. I will use pip to install both libraries in a single code block.\n", - "\n" - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "26e341ee", - "outputId": "f37e39dd-a1ef-4919-ea5c-7b396b67d202" - }, - "source": [ - "!pip install transformers gradio" - ], - "execution_count": 1, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.52.4)\n", - "Requirement already satisfied: gradio in /usr/local/lib/python3.11/dist-packages (5.31.0)\n", - "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from transformers) (3.18.0)\n", - "Requirement already satisfied: huggingface-hub<1.0,>=0.30.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.33.0)\n", - "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (2.0.2)\n", - 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"Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.11/dist-packages (from rich>=10.11.0->typer<1.0,>=0.12->gradio) (3.0.0)\n", - "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.11/dist-packages (from rich>=10.11.0->typer<1.0,>=0.12->gradio) (2.19.2)\n", - "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.11/dist-packages (from markdown-it-py>=2.2.0->rich>=10.11.0->typer<1.0,>=0.12->gradio) (0.1.2)\n" - ] - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "5dae51a9" - }, - "source": [ - "## Load the model and tokenizer\n", - "\n", - "### Subtask:\n", - "Choose a suitable conversational model from Hugging Face and load it along with its tokenizer.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "1cf0df19" - }, - "source": [ - "**Reasoning**:\n", - "Import the necessary classes and load the chosen conversational model and its tokenizer from Hugging Face.\n", - "\n" - ] - }, - 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] - }, - "id": "7b387d06", - "outputId": "89663dfa-ad19-4e88-bfed-c2fcaf105955" - }, - "source": [ - "from transformers import AutoModelForCausalLM, AutoTokenizer\n", - "\n", - "model_name = \"microsoft/DialoGPT-medium\"\n", - "model = AutoModelForCausalLM.from_pretrained(model_name)\n", - "tokenizer = AutoTokenizer.from_pretrained(model_name)" - ], - "execution_count": 2, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "config.json: 0%| | 0.00/642 [00:00" - ], - "text/html": [ - "
" - ] - }, - "metadata": {} - }, - { - "output_type": "execute_result", - "data": { - "text/plain": [] - }, - "metadata": {}, - "execution_count": 16 - } - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "09062dde" - }, - "source": [ - "## Summary:\n", - "\n", - "### Data Analysis Key Findings\n", - "\n", - "* The task successfully installed the necessary libraries (`transformers` and `gradio`).\n", - "* A conversational model (`microsoft/DialoGPT-medium`) and its tokenizer were successfully loaded from Hugging Face.\n", - "* A Python function `chat_with_bot` was created to process user input using the loaded model and return a response.\n", - "* A Gradio interface was built and launched, connecting the `chat_with_bot` function to a user-friendly interface with input and output textboxes.\n", - "\n", - "### Insights or Next Steps\n", - "\n", - "* The current implementation uses a fixed model. Future work could explore allowing users to choose different conversational models.\n", - "* The chat function does not currently maintain conversation history, which limits the chatbot's ability to have coherent multi-turn conversations. Adding memory to the chat function would be a valuable improvement.\n" - ] - } - ] -} \ No newline at end of file