diff --git "a/Chatbot_RAG.ipynb" "b/Chatbot_RAG.ipynb" new file mode 100644--- /dev/null +++ "b/Chatbot_RAG.ipynb" @@ -0,0 +1,10455 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "Ss2EukDFYJ1y" + }, + "source": [ + "#**Goal:**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "9uwcLaHfYIQK" + }, + "source": [ + "**The primary goal of this project is to create a chatbot capable of answering user queries based on content extracted from a set of provided PDF documents. The chatbot is trained using a Language Model (LLM), and the information is stored and retrieved from a vector database. The project aims to showcase the ability to leverage both pre-trained language models and vector databases to build an intelligent and informative chatbot.**" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "D4yTn8e3WBaX" + }, + "source": [ + "#**Installing Required Packages**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "zyYbg3taax-1", + "outputId": "75a43249-72a7-4531-fc16-b9ae3f05c737" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Looking in indexes: https://download.pytorch.org/whl/cu117\n", + "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (2.1.0+cu121)\n", + "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (0.16.0+cu121)\n", + "Requirement already satisfied: torchaudio in /usr/local/lib/python3.10/dist-packages (2.1.0+cu121)\n", + "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch) (3.13.1)\n", + "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch) (4.5.0)\n", + "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch) (1.12)\n", + "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch) (3.2.1)\n", + "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch) (3.1.2)\n", + "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch) (2023.6.0)\n", + "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch) (2.1.0)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision) (1.23.5)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from torchvision) (2.31.0)\n", + "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision) (9.4.0)\n", + "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch) (2.1.3)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (3.6)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (2.0.7)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision) (2023.11.17)\n", + "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch) (1.3.0)\n" + ] + } + ], + "source": [ + "!pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117 --upgrade\n", + "!pip install langchain einops accelerate transformers bitsandbytes scipy\n", + "!pip install xformers sentencepiece\n", + "!pip install llama-index==0.7.21 llama_hub==0.0.19\n", + "!pip install sentence-transformers\n", + "!pip install gradio==3.48.0" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Upillmi5WOP6" + }, + "source": [ + "#**Importing Transformer Classes and Setting up Model**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "a8AHjb2Jax-2" + }, + "outputs": [], + "source": [ + "# Import transformer classes for generaiton\n", + "from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer\n", + "# Import torch for datatype attributes\n", + "import torch" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "x8xCtdElax-3" + }, + "outputs": [], + "source": [ + "# Define variable to hold llama2 weights naming\n", + "name = \"mistralai/Mistral-7B-Instruct-v0.2\"\n", + "# Set auth token variable from hugging face\n", + "auth_token = \"AUTH_TOKEN\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 200, + "referenced_widgets": [ + "d40a77ce63884e7f83f37a911a126575", + "987773915e6f4f3395bb8814056bb423", + "ac61be9c4fda4da8b8e9043807082cd4", + "4470b5cda3d34e1982419705dafcddbb", + "6185b1b79531476c90676976d595dde8", + "0b6804c0ef224219995d35739e6190a1", + "1613848c5e3c402a9937a2c10cc5d0d4", + "6f59638777ea43d59bcca1489348c7d4", + "f39c96ae31c646b592a57c6deeaf04ad", + "e7a596c1164d4338a69e28ecb3a4c9b2", + "b3717b30cd524ea89791feb6645c91b6", + "702d1ae80bb64d7eae4e5b9a4fda1fa9", + "8a75e7e771e746cda637832b01bda586", + "2023c90daa6640bd9a06a60708da39c1", + "98d65dc46e0143dfb8664aa83586be08", + "4404a9bfd936431a81aa3aa31baa9660", + "68346c734382453ab406df7f9f69a259", + 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"c01679d10a6e4b06954b0196f0feaa2d" + ] + }, + "id": "Fepv_akgax-3", + "outputId": "1a346859-ad64-41f9-ad8c-b73c11384ec0" + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/lib/python3.10/dist-packages/transformers/models/auto/tokenization_auto.py:671: FutureWarning: The `use_auth_token` argument is deprecated and will be removed in v5 of Transformers. Please use `token` instead.\n", + " warnings.warn(\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "d40a77ce63884e7f83f37a911a126575", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "tokenizer_config.json: 0%| | 0.00/1.46k [00:00[INST] <>\n", + "You are a helpful, respectful and honest assistant. Always answer as\n", + "helpfully as possible, while being safe. Your answers should not include\n", + "any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content.\n", + "Please ensure that your responses are socially unbiased and positive in nature.\n", + "\n", + "If a question does not make any sense, or is not factually coherent, explain\n", + "why instead of answering something not correct. If you don't know the answer\n", + "to a question, please don't share false information.\n", + "\n", + "Your goal is to provide answers relating to\n", + "the company.<>\n", + "\"\"\"\n", + "# Throw together the query wrapper\n", + "query_wrapper_prompt = SimpleInputPrompt(\"{query_str} [/INST]\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 36 + }, + "id": "lt0MLoekax-4", + "outputId": "218d3f96-13fc-4b3e-a169-12d786df143d" + }, + "outputs": [ + { + "data": { + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "string" + }, + "text/plain": [ + "'hello [/INST]'" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Complete the query prompt\n", + "query_wrapper_prompt.format(query_str='hello')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "TIEuzRARW1S3" + }, + "source": [ + "**import and setting up the LLM (HuggingFaceLLM) using the llama index wrapper. This includes creating a system prompt and a query wrapper prompt.**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "spvMbCeXax-4" + }, + "outputs": [], + "source": [ + "# Import the llama index HF Wrapper\n", + "from llama_index.llms import HuggingFaceLLM\n", + "# Create a HF LLM using the llama index wrapper\n", + "llm = HuggingFaceLLM(context_window=4096,\n", + " max_new_tokens=256,\n", + " system_prompt=system_prompt,\n", + " query_wrapper_prompt=query_wrapper_prompt,\n", + " model=model,\n", + " tokenizer=tokenizer)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "g4HePTQYW8XV" + }, + "source": [ + "#**Bringing in Embeddings Wrapper**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "g-_7NvNjax-4" + }, + "outputs": [], + "source": [ + "# Bring in embeddings wrapper\n", + "from llama_index.embeddings import LangchainEmbedding\n", + "# Bring in HF embeddings - need these to represent document chunks\n", + "from langchain.embeddings.huggingface import HuggingFaceEmbeddings" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4SQxt71VXG_c" + }, + "source": [ + "**bringing in the embeddings wrapper and HuggingFace embeddings to represent document chunks.**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "j4knDFnge3Nt" + }, + "outputs": [], + "source": [ + "import locale\n", + "locale.getpreferredencoding = lambda: \"UTF-8\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 589, + "referenced_widgets": [ + "e13d138ad4bf4305a5dea8d023cc3fba", + "b1e7cf1ee7944c2386a4d311c8feafe2", + "999ed51ddb7749269f3a0f1ec64f03b1", + "1eae6967c82047af8134b268f623d2ee", + "a3e9447d2934476d8cd638220a7e851f", + "9560ddf361964ea3bdd99cce4f418fe4", + "0cabe4bda2ca4a2a84612be04c6977c3", + "77b918b7e6344f2caaa40be606b76484", + 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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": "e13d138ad4bf4305a5dea8d023cc3fba", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + ".gitattributes: 0%| | 0.00/1.18k [00:00:13: GradioDeprecationWarning: `capture_session` parameter is deprecated, and it has no effect\n", + " iface = gr.Interface(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n", + "Running on public URL: https://1af141e8f07f63e5e8.gradio.live\n", + "\n", + "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n" + ] + }, + { + "data": { + "text/html": [ + "
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