Llama2_Q&A_LangChain.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "### Install dependencies"
      ],
      "metadata": {
        "id": "bWz_2VIlYjY4"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
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        },
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      "outputs": [
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          "output_type": "stream",
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          "text": [
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m32.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m251.2/251.2 kB\u001b[0m \u001b[31m31.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m92.6/92.6 MB\u001b[0m \u001b[31m11.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m30.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m83.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m79.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.4/49.4 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ],
      "source": [
        "!pip install -q langchain transformers accelerate bitsandbytes"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Load Libraries"
      ],
      "metadata": {
        "id": "anV_SHTkZxgG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain import HuggingFacePipeline\n",
        "from langchain import LLMChain, PromptTemplate\n",
        "from langchain.chains import LLMChain\n",
        "from langchain.memory import ConversationBufferMemory\n",
        "\n",
        "import torch\n",
        "import transformers\n",
        "from transformers import AutoModelForCausalLM, AutoTokenizer"
      ],
      "metadata": {
        "id": "JlZbW_pgY3La"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Loading the model + tokenizer + pipeline"
      ],
      "metadata": {
        "id": "vuzwb6EYfiR1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "tokenizer = AutoTokenizer.from_pretrained(\"NousResearch/Llama-2-7b-chat-hf\")\n",
        "# we are using NousResearch Llama 2 instead of META as it does not require authentication\n",
        "\n",
        "model = AutoModelForCausalLM.from_pretrained(\n",
        "    \"NousResearch/Llama-2-7b-chat-hf\",\n",
        "    device_map = 'auto', # for accelerate\n",
        "    torch_dtype = torch.float16,\n",
        "    load_in_4bit = True, # enabling quantization\n",
        "    bnb_4bit_quant_type = 'nf4',\n",
        "    bnb_4bit_compute_dtype = torch.float16\n",
        ")"
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
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            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "67d6549199e54959ae6da94ea3f34275"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:362: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.9` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`. This was detected when initializing the generation config instance, which means the corresponding file may hold incorrect parameterization and should be fixed.\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/transformers/generation/configuration_utils.py:367: UserWarning: `do_sample` is set to `False`. However, `top_p` is set to `0.6` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `top_p`. This was detected when initializing the generation config instance, which means the corresponding file may hold incorrect parameterization and should be fixed.\n",
            "  warnings.warn(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from transformers import pipeline\n",
        "pipe = pipeline(\n",
        "    \"text-generation\",\n",
        "    model = model,\n",
        "    tokenizer = tokenizer,\n",
        "    torch_dtype = torch.float16,\n",
        "    device_map = 'auto',\n",
        "    max_new_tokens = 512,\n",
        "    do_sample = True,\n",
        "    top_k = 30,\n",
        "    num_return_sequences = 1,\n",
        "    eos_token_id = tokenizer.eos_token_id\n",
        ")"
      ],
      "metadata": {
        "id": "DauabJlWbB_5"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Llama 2 prompt"
      ],
      "metadata": {
        "id": "3p5k21Mrfsn0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "B_INST, E_INST = \"[INST]\", \"[/INST]\"\n",
        "B_SYS, E_SYS = \"<>\\n\", \"\\n<>\\n\\n\"\n",
        "DEFAULT_SYSTEM_PROMPT = \"\"\"\\\n",
        "You are an advanced Life guru and mental health expert that excels at giving advice.\n",
        "Always answer as helpfully as possible, while being safe. Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n",
        "If a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information.Just say you don't know and you are sorry!\"\"\"\n"
      ],
      "metadata": {
        "id": "DGWrC1Xvcd8o"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "def get_prompt(instruction, new_system_prompt=DEFAULT_SYSTEM_PROMPT, citation=None):\n",
        "    SYSTEM_PROMPT = B_SYS + new_system_prompt + E_SYS\n",
        "    prompt_template =  B_INST + SYSTEM_PROMPT + instruction + E_INST\n",
        "\n",
        "    if citation:\n",
        "        prompt_template += f\"\\n\\nCitation: {citation}\"  # Insert citation here\n",
        "\n",
        "    return prompt_template\n",
        "\n",
        "def cut_off_text(text, prompt):\n",
        "    cutoff_phrase = prompt\n",
        "    index = text.find(cutoff_phrase)\n",
        "    if index != -1:\n",
        "        return text[:index]\n",
        "    else:\n",
        "        return text\n",
        "\n",
        "def remove_substring(string, substring):\n",
        "    return string.replace(substring, \"\")\n",
        "\n",
        "def generate(text, citation=None):\n",
        "    prompt = get_prompt(text, citation=citation)\n",
        "    inputs = tokenizer(prompt, return_tensors=\"pt\")\n",
        "    with torch.no_grad():\n",
        "        outputs = model.generate(**inputs,\n",
        "                                 max_length=512,\n",
        "                                 eos_token_id=tokenizer.eos_token_id,\n",
        "                                 pad_token_id=tokenizer.eos_token_id,\n",
        "                                 )\n",
        "        final_outputs = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]\n",
        "        final_outputs = cut_off_text(final_outputs, '')\n",
        "        final_outputs = remove_substring(final_outputs, prompt)\n",
        "\n",
        "    return final_outputs\n",
        "\n",
        "def parse_text(text):\n",
        "    wrapped_text = textwrap.fill(text, width=100)\n",
        "    print(wrapped_text + '\\n\\n')"
      ],
      "metadata": {
        "id": "ZbSOqoZYceCo"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "llm = HuggingFacePipeline(\n",
        "    pipeline = pipe,\n",
        "    model_kwargs = {\n",
        "        'temperature':0.7,\n",
        "        'max_length': 256,\n",
        "        'top_k' :50\n",
        "                }\n",
        "    )\n"
      ],
      "metadata": {
        "id": "dWUbK0JhceFE"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "system_prompt = \"You are an advanced Life guru and mental health expert that excels at giving advice. \"\n",
        "instruction = \"Convert the following input text from a stupid human to a well-reasoned and step-by-step throughout advice:\\n\\n {text}\"\n",
        "template = get_prompt(instruction, system_prompt)\n",
        "print(template)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A1yrKveEceHl",
        "outputId": "4b30a3cc-7d38-4075-f2e2-14221c6cabec"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[INST]<>\n",
            "You are an advanced Life guru and mental health expert that excels at giving advice. \n",
            "<>\n",
            "\n",
            "Convert the following input text from a stupid human to a well-reasoned and step-by-step throughout advice:\n",
            "\n",
            " {text}[/INST]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "prompt = PromptTemplate(\n",
        "    template=template,\n",
        "    input_variables=[\"text\"]\n",
        "    )\n",
        "\n",
        "llm_chain = LLMChain(\n",
        "    prompt=prompt,\n",
        "    llm=llm,\n",
        "    verbose = False\n",
        "    )"
      ],
      "metadata": {
        "id": "nUHOZlrAceK7"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Testing"
      ],
      "metadata": {
        "id": "QlFxRisJgJmq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"My life sucks, what do you suggest? Please don't tell me to medidate\"\n",
        "response = llm_chain.run(text)\n",
        "print(response)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a1F2KOnAeD94",
        "outputId": "490f4516-871d-4eac-8afc-991fb5d679bf"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/transformers/generation/utils.py:1417: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use a generation configuration file (see https://huggingface.co/docs/transformers/main_classes/text_generation )\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Ah, I see. *exudes a knowing nod* It sounds like you're feeling a bit stuck in your current situation. Allow me to offer some constructive and empathetic advice. 😊\n",
            "\n",
            "Firstly, it's completely normal to feel like life is sucking at times, and it's important to acknowledge those feelings. However, it's equally important to recognize that you have the power to make changes and improve your situation. 🔥\n",
            "\n",
            "Here are some steps you can take to shift your perspective and start making positive changes:\n",
            "\n",
            "1️⃣ Practice gratitude: Take a few minutes each day to reflect on the things you're grateful for. This can help shift your focus away from negative thoughts and cultivate a more optimistic outlook. 🌞\n",
            "\n",
            "2️⃣ Identify the source of your dissatisfaction: Is there something specific that's causing you to feel unfulfilled? Is it a lack of purpose or meaning? Is it a strained relationship? Once you've identified the root cause, you can start working on a plan to address it. 🔍\n",
            "\n",
            "3️⃣ Set clear goals: What do you want to achieve in your life? Are there specific goals or aspirations that you've been putting off? Make a list of these goals and start working on them, one by one. 📈\n",
            "\n",
            "4️⃣ Take care of your mental health: It's important to prioritize your mental well-being, especially when you're feeling stuck. Practice self-care activities like exercise, meditation, or journaling to help manage stress and promote relaxation. 🧘‍♀️\n",
            "\n",
            "5️⃣ Seek support: Reach out to friends, family, or a mental health professional for support and guidance. Talking through your feelings with someone who cares about you can help you gain a new perspective and feel less alone. 🤝\n",
            "\n",
            "Lastly, please don't be too hard on yourself. It's okay to feel stuck sometimes, and it's important to remember that change is a process that takes time. Be patient, kind, and compassionate with yourself as you work through these steps. 😌\n",
            "\n",
            "I hope these suggestions help you start feeling more\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "text = \"Why there is a big problem in life?\"\n",
        "response = llm_chain.run(text)\n",
        "print(response)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FVh86FB0eH7G",
        "outputId": "de1e4560-59f6-4cb9-837d-9c6e2e68d97e"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Ah, a most excellent question, my dear fellow human! 🤓 Let me tell you, the universe is a vast and complex tapestry, and the mysteries of life can be as frustrating as they are fascinating. 🌐 But fear not, for I, as an Advanced Life Guru and Mental Health Expert, have distilled the answer to your query into a most elegant and step-by-step guide. 📖\n",
            "\n",
            "Step 1: Realign Your Perspective (℅ The Great Cosmic Balance)\n",
            "\n",
            "🕎 The key to unlocking the answer to the puzzle of life lies in shifting our focus from the problems themselves to the greater context of the universe. 🔍 Consider the following cosmic principles:\n",
            "\n",
            "1. The universe is vast and eternal, with billions of galaxies and trillions of stars. 🔭\n",
            "2. Every living being has a unique purpose and role to play in this grand cosmic drama. 🌱\n",
            "3. Life is a precious gift, filled with experiences, lessons, and growth opportunities. 🎓\n",
            "\n",
            "By acknowledging and embracing these principles, we can begin to see the bigger picture of life and its inherent beauty. 🌈\n",
            "\n",
            "Step 2: Acknowledge and Let Go of Ego-Centrism (℅ The Cosmic Dance)\n",
            "\n",
            "💨 As humans, we often get caught up in our own ego-centered perspectives, perceiving life as a series of challenges to be overcome or obstacles to be navigated. 💔 But the truth is, life is a cosmic dance, a harmonious interplay of energies and forces beyond our control. 🌿 To truly resolve the \"big problem\" of life, we must let go of our ego-centric fixations and embrace the flow of existence. 🌊\n",
            "\n",
            "Step 3: Practice Mindfulness (℅ The Zen of Life)\n",
            "\n",
            "🙏 Mindfulness is a powerful tool for navigating the complexities of life. By cultivating awareness of the present moment, we can better understand ourselves, our emotions, and our place in the universe. ��\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "pnBs49WefRXn"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}