diff --git a/cookbook/Semi_Structured_RAG.ipynb b/cookbook/Semi_Structured_RAG.ipynb new file mode 100644 index 0000000000..094b29dcac --- /dev/null +++ b/cookbook/Semi_Structured_RAG.ipynb @@ -0,0 +1,386 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 11, + "id": "80e7ce94-33a4-480b-af65-2e7f78eab032", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from lxml import html\n", + "from pydantic import BaseModel\n", + "from typing import Any, Optional\n", + "from unstructured.partition.pdf import partition_pdf" + ] + }, + { + "cell_type": "markdown", + "id": "b6d466cc-aa8b-4baf-a80a-fef01921ca8d", + "metadata": {}, + "source": [ + "# Use Case\n", + "\n", + "Many documents contain a mixture of content types, including text, images, and tables. \n", + "\n", + "* `Semi-structured data`: RAG on text and tables has remained a challenge\n", + "* `Image`: images often contain valuable information that are excluded from RAG due to model limitations\n", + "\n", + "Here, we show how Unstructured can be used to partition all semi-structured data from documents. \n", + "\n", + "And, we show RAG on semi-structured data.\n", + "\n", + "In a follow-up notebook, we show how this can be extended to images." + ] + }, + { + "attachments": { + "54b0f9ee-a563-49e4-836e-804b1a1f7b80.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "c2dd1ac7-f553-4d7c-919d-5b088cac6981", + "metadata": {}, + "source": [ + "![img_optional_flow.png](attachment:54b0f9ee-a563-49e4-836e-804b1a1f7b80.png)" + ] + }, + { + "cell_type": "markdown", + "id": "dc871e89-649b-41af-902d-a7bc94808d16", + "metadata": {}, + "source": [ + "## Data Loading\n", + "\n", + "### Partition PDF tables and text w/ Unstructured\n", + " \n", + "* `LLaMA2` Paper: https://arxiv.org/pdf/2307.09288.pdf\n", + "* Use `chunking_strategy=\"by_title\"`, which rolls up subsequent non-Table elements under a Title into a `CompositeElement`\n", + "* Unstructured uses a [table recognition module](https://unstructured-io.github.io/unstructured/introduction.html#tables)." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "57790bd1-7a11-48d5-90de-4813e4776578", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Some weights of the model checkpoint at microsoft/table-transformer-structure-recognition were not used when initializing TableTransformerForObjectDetection: ['model.backbone.conv_encoder.model.layer3.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer4.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer2.0.downsample.1.num_batches_tracked']\n", + "- This IS expected if you are initializing TableTransformerForObjectDetection from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "- This IS NOT expected if you are initializing TableTransformerForObjectDetection from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n" + ] + } + ], + "source": [ + "# Get elements\n", + "raw_pdf_elements = partition_pdf(filename=\"/Users/rlm/Desktop/Papers/2307.09288.pdf\",\n", + " # Using pdf format to find embedded image blocks\n", + " extract_images_in_pdf=False,\n", + " # Use layout model (YOLO-X) to get bounding boxes (for tables) and find titles\n", + " # Titles are any sub-section of the document \n", + " infer_table_structure=True, \n", + " # Post processing to aggregate text once we have the title \n", + " chunking_strategy=\"by_title\",\n", + " # Chunking params to aggregate text blocks\n", + " # Attempt to create a new chunk 3800 chars\n", + " # Attempt to keep chunks > 2000 chars \n", + " # Hard max on chunks\n", + " max_characters=4000, \n", + " new_after_n_chars=3800, \n", + " combine_text_under_n_chars=2000,\n", + " image_output_dir_path=path)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "628abfc6-4057-434b-b880-d88e3ba44657", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{\"\": 184,\n", + " \"\": 47,\n", + " \"\": 2}" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create a dictionary to store counts of each type\n", + "category_counts = {}\n", + "\n", + "for element in raw_pdf_elements:\n", + " category = str(type(element))\n", + " if category in category_counts:\n", + " category_counts[category] += 1\n", + " else:\n", + " category_counts[category] = 1\n", + "\n", + "# Unique_categories will have unique elements\n", + "unique_categories = set(category_counts.keys())\n", + "category_counts" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "5462f29e-fd59-4e0e-9493-ea3b560e523e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "49\n", + "184\n" + ] + } + ], + "source": [ + "class Element(BaseModel):\n", + " type: str\n", + " text: Any\n", + "\n", + "# Categorize by type\n", + "categorized_elements = []\n", + "for element in raw_pdf_elements:\n", + " if \"unstructured.documents.elements.Table\" in str(type(element)):\n", + " categorized_elements.append(Element(type=\"table\", text=str(element)))\n", + " elif \"unstructured.documents.elements.CompositeElement\" in str(type(element)):\n", + " categorized_elements.append(Element(type=\"text\", text=str(element)))\n", + "\n", + "# Tables\n", + "table_elements = [e for e in categorized_elements if e.type == \"table\"]\n", + "print(len(table_elements))\n", + "\n", + "# Text\n", + "text_elements = [e for e in categorized_elements if e.type == \"text\"]\n", + "print(len(text_elements))" + ] + }, + { + "cell_type": "markdown", + "id": "731b3dfc-7ddf-4a11-9a30-9a79b7c66e16", + "metadata": {}, + "source": [ + "## Multi-vector retriever\n", + "\n", + "Use [multi-vector-retriever](https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector#summary).\n", + "\n", + "### Summaries" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "8e275736-3408-4d7a-990e-4362c88e81f8", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.chat_models import ChatOpenAI\n", + "from langchain.prompts import ChatPromptTemplate\n", + "from langchain.schema.output_parser import StrOutputParser" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "1b12536a-1303-41ad-9948-4eb5a5f32614", + "metadata": {}, + "outputs": [], + "source": [ + "# Prompt \n", + "prompt_text=\"\"\"You are an assistant tasked with summarizing tables and text. \\ \n", + "Give a concise summary of the table or text. Table or text chunk: {element} \"\"\"\n", + "prompt = ChatPromptTemplate.from_template(prompt_text) \n", + "\n", + "# Summary chain \n", + "model = ChatOpenAI(temperature=0,model=\"gpt-4\")\n", + "summarize_chain = {\"element\": lambda x:x} | prompt | model | StrOutputParser()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d8b567c-b442-4bf0-b639-04bd89effc62", + "metadata": {}, + "outputs": [], + "source": [ + "# Apply to tables\n", + "tables = [i.text for i in table_elements]\n", + "table_summaries = summarize_chain.batch(tables, {\"max_concurrency\": 5})" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "3e9c176c-3d46-4034-b169-0d7305d42d27", + "metadata": {}, + "outputs": [], + "source": [ + "# Apply to texts\n", + "texts = [i.text for i in text_elements]\n", + "text_summaries = summarize_chain.batch(texts, {\"max_concurrency\": 5})" + ] + }, + { + "cell_type": "markdown", + "id": "60524010-754f-4924-ad75-78cb54ca7257", + "metadata": {}, + "source": [ + "### Add to vectorstore\n", + "\n", + "Use [Multi Vector Retriever](https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector#summary) with summaries." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "346c3a02-8fea-4f75-a69e-fc9542b99dbc", + "metadata": {}, + "outputs": [], + "source": [ + "import uuid\n", + "from langchain.vectorstores import Chroma\n", + "from langchain.storage import InMemoryStore\n", + "from langchain.schema.document import Document\n", + "from langchain.embeddings import OpenAIEmbeddings\n", + "from langchain.retrievers.multi_vector import MultiVectorRetriever\n", + "\n", + "# The vectorstore to use to index the child chunks\n", + "vectorstore = Chroma(\n", + " collection_name=\"summaries\",\n", + " embedding_function=OpenAIEmbeddings()\n", + ")\n", + "\n", + "# The storage layer for the parent documents\n", + "store = InMemoryStore()\n", + "id_key = \"doc_id\"\n", + "\n", + "# The retriever (empty to start)\n", + "retriever = MultiVectorRetriever(\n", + " vectorstore=vectorstore, \n", + " docstore=store, \n", + " id_key=id_key,\n", + ")\n", + "\n", + "# Add texts\n", + "doc_ids = [str(uuid.uuid4()) for _ in texts]\n", + "summary_texts = [Document(page_content=s,metadata={id_key: doc_ids[i]}) for i, s in enumerate(text_summaries)]\n", + "retriever.vectorstore.add_documents(summary_texts)\n", + "retriever.docstore.mset(list(zip(doc_ids, texts)))\n", + "\n", + "# Add tables\n", + "table_ids = [str(uuid.uuid4()) for _ in tables]\n", + "summary_tables = [Document(page_content=s,metadata={id_key: table_ids[i]}) for i, s in enumerate(table_summaries)]\n", + "retriever.vectorstore.add_documents(summary_tables)\n", + "retriever.docstore.mset(list(zip(table_ids, tables)))" + ] + }, + { + "cell_type": "markdown", + "id": "1d8bbbd9-009b-4b34-a206-5874a60adbda", + "metadata": {}, + "source": [ + "## RAG\n", + "\n", + "Run [RAG pipeline](https://python.langchain.com/docs/expression_language/cookbook/retrieval)." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "f2489de4-51e3-48b4-bbcd-ed9171deadf3", + "metadata": {}, + "outputs": [], + "source": [ + "from operator import itemgetter\n", + "from langchain.schema.runnable import RunnablePassthrough\n", + "\n", + "# Prompt template\n", + "template = \"\"\"Answer the question based only on the following context, which can include text and tables:\n", + "{context}\n", + "Question: {question}\n", + "\"\"\"\n", + "prompt = ChatPromptTemplate.from_template(template)\n", + "\n", + "# LLM\n", + "model = ChatOpenAI(temperature=0,model=\"gpt-4\")\n", + "\n", + "# RAG pipeline\n", + "chain = (\n", + " {\"context\": retriever, \"question\": RunnablePassthrough()} \n", + " | prompt \n", + " | model \n", + " | StrOutputParser()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "90e3d100-10e8-4ee6-ae46-2480b1524ec8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The number of training tokens for LLaMA2 is 2.0T.'" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "chain.invoke(\"What is the number of training tokens for LLaMA2?\")" + ] + }, + { + "cell_type": "markdown", + "id": "37f46054-e239-4ba8-af81-22d0d6a9bc32", + "metadata": {}, + "source": [ + "We can check the [trace](https://smith.langchain.com/public/4739ae7c-1a13-406d-bc4e-3462670ebc01/r) to see what chunks were retrieved:\n", + "\n", + "This includes Table 1 of the paper, showing the Tokens used for training.\n", + "\n", + "```\n", + "Training Data Params Context GQA Tokens LR Length 7B 2k 1.0T 3.0x 10-4 See Touvron et al. 13B 2k 1.0T 3.0 x 10-4 LiaMa 1 (2023) 33B 2k 14T 1.5 x 10-4 65B 2k 1.4T 1.5 x 10-4 7B 4k 2.0T 3.0x 10-4 Liama 2 A new mix of publicly 13B 4k 2.0T 3.0 x 10-4 available online data 34B 4k v 2.0T 1.5 x 10-4 70B 4k v 2.0T 1.5 x 10-4\n", + "```" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/cookbook/Semi_structured_and_multi_modal_RAG.ipynb b/cookbook/Semi_structured_and_multi_modal_RAG.ipynb new file mode 100644 index 0000000000..7b0cf668e6 --- /dev/null +++ b/cookbook/Semi_structured_and_multi_modal_RAG.ipynb @@ -0,0 +1,613 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "812a4dbc-fe04-4b84-bdf9-390045e30806", + "metadata": {}, + "source": [ + "# Use Case\n", + "\n", + "Many documents contain a mixture of content types: \n", + "\n", + "* `Semi-structured data`: text and tables\n", + "* `Image`: images contain valuable information \n", + "\n", + "Here, we show how `Unstructured` can be used to partition all 3 types from documents. \n", + "\n", + "We generate summaries of each content type, using an open source multi-modal model (LLaVA) for image summaries.\n", + "\n", + "We embed summaries and store them w/ the raw table and text chunks. \n", + "\n", + "For images, we embed and store the summaries only; future work could store the images for final answer generation." + ] + }, + { + "attachments": { + "28d8b949-8001-4b94-be3f-a64995390935.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "7ea70aa4-9a53-4e17-8f11-1d14a0ac9b43", + "metadata": {}, + "source": [ + "![img_flow.png](attachment:28d8b949-8001-4b94-be3f-a64995390935.png)" + ] + }, + { + "cell_type": "markdown", + "id": "74b56bde-1ba0-4525-a11d-cab02c5659e4", + "metadata": {}, + "source": [ + "## Data Loading\n", + "\n", + "### Partition PDF tables, text, and images\n", + " \n", + "* `LLaVA` Paper: https://arxiv.org/pdf/2304.08485.pdf\n", + "* Use `Unstructured` to partition elements" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "61cbb874-ecc0-4d5d-9954-f0a41f65e0d7", + "metadata": {}, + "outputs": [], + "source": [ + "path = \"/Users/rlm/Desktop/Papers/LLaVA/\"" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "4aa9055d-1243-4b5a-aca0-2c6f8fb34143", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "from lxml import html\n", + "from pydantic import BaseModel\n", + "from typing import Any, Optional\n", + "from unstructured.partition.pdf import partition_pdf\n", + "\n", + "# Get elements\n", + "raw_pdf_elements = partition_pdf(filename=path+\"LLaVA.pdf\",\n", + " # Using pdf format to find embedded image blocks\n", + " extract_images_in_pdf=True,\n", + " # Use layout model (YOLO-X) to get bounding boxes (for tables) and find titles\n", + " # Titles are any sub-section of the document \n", + " infer_table_structure=True, \n", + " # Post processing to aggregate text once we have the title \n", + " chunking_strategy=\"by_title\",\n", + " # Chunking params to aggregate text blocks\n", + " # Attempt to create a new chunk 3800 chars\n", + " # Attempt to keep chunks > 2000 chars \n", + " # Hard max on chunks\n", + " max_characters=4000, \n", + " new_after_n_chars=3800, \n", + " combine_text_under_n_chars=2000,\n", + " image_output_dir_path=path)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "7cdba921-5419-4471-b234-d93af3859b6f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{\"\": 31,\n", + " \"\": 3}" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create a dictionary to store counts of each type\n", + "category_counts = {}\n", + "\n", + "for element in raw_pdf_elements:\n", + " category = str(type(element))\n", + " if category in category_counts:\n", + " category_counts[category] += 1\n", + " else:\n", + " category_counts[category] = 1\n", + "\n", + "# Unique_categories will have unique elements\n", + "unique_categories = set(category_counts.keys())\n", + "category_counts" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "5f660305-e165-4b6c-ada3-a67a422defb5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3\n", + "31\n" + ] + } + ], + "source": [ + "class Element(BaseModel):\n", + " type: str\n", + " text: Any\n", + "\n", + "# Categorize by type\n", + "categorized_elements = []\n", + "for element in raw_pdf_elements:\n", + " if \"unstructured.documents.elements.Table\" in str(type(element)):\n", + " categorized_elements.append(Element(type=\"table\", text=str(element)))\n", + " elif \"unstructured.documents.elements.CompositeElement\" in str(type(element)):\n", + " categorized_elements.append(Element(type=\"text\", text=str(element)))\n", + "\n", + "# Tables\n", + "table_elements = [e for e in categorized_elements if e.type == \"table\"]\n", + "print(len(table_elements))\n", + "\n", + "# Text\n", + "text_elements = [e for e in categorized_elements if e.type == \"text\"]\n", + "print(len(text_elements))" + ] + }, + { + "cell_type": "markdown", + "id": "0aa7f52f-bf5c-4ba4-af72-b2ccba59a4cf", + "metadata": {}, + "source": [ + "## Multi-vector retriever\n", + "\n", + "Use [multi-vector-retriever](https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector#summary).\n", + "\n", + "### Text and Table summaries" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "523e6ed2-2132-4748-bdb7-db765f20648d", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.chat_models import ChatOpenAI\n", + "from langchain.prompts import ChatPromptTemplate\n", + "from langchain.schema.output_parser import StrOutputParser" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "22c22e3f-42fb-4a4a-a87a-89f10ba8ab99", + "metadata": {}, + "outputs": [], + "source": [ + "# Prompt \n", + "prompt_text=\"\"\"You are an assistant tasked with summarizing tables and text. \\ \n", + "Give a concise summary of the table or text. Table or text chunk: {element} \"\"\"\n", + "prompt = ChatPromptTemplate.from_template(prompt_text) \n", + "\n", + "# Summary chain \n", + "model = ChatOpenAI(temperature=0,model=\"gpt-4\")\n", + "summarize_chain = {\"element\": lambda x:x} | prompt | model | StrOutputParser()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f176b374-aef0-48f4-a104-fb26b1dd6922", + "metadata": {}, + "outputs": [], + "source": [ + "# Apply to text\n", + "texts = [i.text for i in text_elements]\n", + "text_summaries = summarize_chain.batch(texts, {\"max_concurrency\": 5})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e79fb8a4-c46f-442a-adad-1de4419a06f2", + "metadata": {}, + "outputs": [], + "source": [ + "# Apply to tables\n", + "tables = [i.text for i in table_elements]\n", + "table_summaries = summarize_chain.batch(tables, {\"max_concurrency\": 5})" + ] + }, + { + "cell_type": "markdown", + "id": "d52641eb-762e-4460-80c7-3ac3ddd93621", + "metadata": {}, + "source": [ + "### Image summaries \n", + "\n", + "Use [llama.cpp](https://github.com/ggerganov/llama.cpp/pull/3436): \n", + "\n", + "* Download `mmproj-model-f16.gguf` and one of `ggml-model-[f16|q5_k|q4_k].gguf` from [LLaVA 7b repo](https://huggingface.co/mys/ggml_llava-v1.5-7b/tree/main)\n", + "* Clone `llama.cpp` repo\n", + "* Build\n", + "```\n", + "mkdir build && cd build && cmake ..\n", + "cmake --build .\n", + "```\n", + "\n", + "For [better performance](https://github.com/ggerganov/llama.cpp/issues/3602):\n", + "\n", + "* It appears `7b` is currently better than `13b` in the above LLaVA repo.\n", + "* Use `--temp 0.1`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "35a45671-94bd-4bf9-a193-bd123ba5fc15", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "\n", + "# Define the directory containing the images\n", + "IMG_DIR=~/Desktop/Papers/LLaVA/\n", + "\n", + "# Loop through each image in the directory\n", + "for img in \"${IMG_DIR}\"*.jpg; do\n", + " # Extract the base name of the image without extension\n", + " base_name=$(basename \"$img\" .jpg)\n", + "\n", + " # Define the output file name based on the image name\n", + " output_file=\"${IMG_DIR}${base_name}.txt\"\n", + "\n", + " # Execute the command and save the output to the defined output file\n", + " /Users/rlm/Desktop/Code/llama.cpp/bin/llava -m ../models/llava-7b/ggml-model-q5_k.gguf --mmproj ../models/llava-7b/mmproj-model-f16.gguf --temp 0.1 -p \"Describe the image in detail. Be specific about graphs, such as bar plots.\" --image \"$img\" > \"$output_file\"\n", + "\n", + "done" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "da8a8c94-3df7-446f-9a69-703295f50f02", + "metadata": {}, + "outputs": [], + "source": [ + "import os, glob\n", + "\n", + "# Get all .txt file summaries\n", + "file_paths = glob.glob(os.path.expanduser(os.path.join(path, \"*.txt\")))\n", + "\n", + "# Read each file and store its content in a list\n", + "img_summaries = []\n", + "for file_path in file_paths:\n", + " with open(file_path, 'r') as file:\n", + " img_summaries.append(file.read())\n", + "\n", + "# Remove any logging prior to summary\n", + "logging_header=\"clip_model_load: total allocated memory: 201.27 MB\\n\\n\"\n", + "cleaned_img_summary = [s.split(logging_header, 1)[1].strip() for s in img_summaries]" + ] + }, + { + "cell_type": "markdown", + "id": "67b030d4-2ac5-41b6-9245-fc3ba5771d87", + "metadata": {}, + "source": [ + "### Add to vectorstore\n", + "\n", + "Use [Multi Vector Retriever](https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector#summary) with summaries." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "d643cc61-827d-4f3c-8242-7a7c8291ed8a", + "metadata": {}, + "outputs": [], + "source": [ + "import uuid\n", + "from langchain.vectorstores import Chroma\n", + "from langchain.storage import InMemoryStore\n", + "from langchain.schema.document import Document\n", + "from langchain.embeddings import OpenAIEmbeddings\n", + "from langchain.retrievers.multi_vector import MultiVectorRetriever\n", + "\n", + "# The vectorstore to use to index the child chunks\n", + "vectorstore = Chroma(\n", + " collection_name=\"summaries\",\n", + " embedding_function=OpenAIEmbeddings()\n", + ")\n", + "\n", + "# The storage layer for the parent documents\n", + "store = InMemoryStore()\n", + "id_key = \"doc_id\"\n", + "\n", + "# The retriever (empty to start)\n", + "retriever = MultiVectorRetriever(\n", + " vectorstore=vectorstore, \n", + " docstore=store, \n", + " id_key=id_key,\n", + ")\n", + "\n", + "# Add texts\n", + "doc_ids = [str(uuid.uuid4()) for _ in texts]\n", + "summary_texts = [Document(page_content=s,metadata={id_key: doc_ids[i]}) for i, s in enumerate(text_summaries)]\n", + "retriever.vectorstore.add_documents(summary_texts)\n", + "retriever.docstore.mset(list(zip(doc_ids, texts)))\n", + "\n", + "# Add tables\n", + "table_ids = [str(uuid.uuid4()) for _ in tables]\n", + "summary_tables = [Document(page_content=s,metadata={id_key: table_ids[i]}) for i, s in enumerate(table_summaries)]\n", + "retriever.vectorstore.add_documents(summary_tables)\n", + "retriever.docstore.mset(list(zip(table_ids, tables)))\n", + "\n", + "# Add images\n", + "img_ids = [str(uuid.uuid4()) for _ in cleaned_img_summary]\n", + "summary_img = [Document(page_content=s,metadata={id_key: img_ids[i]}) for i, s in enumerate(cleaned_img_summary)]\n", + "retriever.vectorstore.add_documents(summary_img)\n", + "# Store the image summary as the raw document\n", + "# It may able be possible to store raw images and pass those to a final multi-modal LLM\n", + "retriever.docstore.mset(list(zip(img_ids, cleaned_img_summary))) " + ] + }, + { + "cell_type": "markdown", + "id": "4b45fb81-46b1-426e-aa2c-01aed4eac700", + "metadata": {}, + "source": [ + "### Sanity Check retrieval\n", + "\n", + "The most complex table in the paper:" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "a5f4dd59-005a-4ff8-ad51-ea2e50d79c10", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Subject Context Modality Grade Method NAT SOC LAN | TXT IMG NO | Gi6~ G7-12 | Average Representative & SoTA methods with numbers reported in the literature Human [30] 90.23 84.97 87.48 | 89.60 87.50 88.10 | 91.59 82.42 88.40 GPT-3.5 [30] 74.64 69.74 76.00 | 74.44 67.28 77.42 | 76.80 68.89 73.97 GPT-3.5 w/ CoT [30] 75.44 70.87 78.09 | 74.68 67.43 79.93 | 78.23 69.68 75.17 LLaMA-Adapter [55] 84.37 88.30 84.36 | 83.72 80.32 86.90 | 85.83 84.05 85.19 MM-CoT gase [57] 87.52 77.17 85.82 | 87.88 82.90 86.83 | 84.65 85.37 84.91 MM-CoT farge [57] 95.91 82.00 90.82 | 95.26 88.80 92.89 | 92.44 90.31 | 91.68 Results with our own experiment runs GPT-4 84.06 73.45 87.36 | 81.87 70.75 90.73 | 84.69 79.10 82.69 LLaVA 90.36 95.95 88.00 | 89.49 88.00 90.66 | 90.93 90.90 90.92 LLaVA+GPT-4 (complement) 90.36 95.50 88.55 | 89.05 87.80 91.08 | 92.22 88.73 90.97 LLaVA+GPT-4 (judge) 91.56 96.74 91.09 | 90.62 88.99 93.52 | 92.73 92.16 92.53'" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "tables[2]" + ] + }, + { + "cell_type": "markdown", + "id": "9f68ef8b-0fec-4b2f-a0d3-c440c74ebaa1", + "metadata": {}, + "source": [ + "Here is the summary, which is embedded:" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "9eb16ea9-d932-4062-9ace-e8f77dee530b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The table presents the performance of various methods in different subject contexts and modalities. The subjects are Natural Sciences (NAT), Social Sciences (SOC), and Language (LAN). The modalities are text (TXT), image (IMG), and no modality (NO). The methods include Human, GPT-3.5, GPT-3.5 with CoT, LLaMA-Adapter, MM-CoT gase, MM-CoT farge, GPT-4, LLaVA, LLaVA+GPT-4 (complement), and LLaVA+GPT-4 (judge). The performance is measured in grades from 6 to 12. The MM-CoT farge method had the highest performance in most categories, with LLaVA+GPT-4 (judge) showing the highest results in the experiment runs.'" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "table_summaries[2]" + ] + }, + { + "cell_type": "markdown", + "id": "fc2bcc4c-c05d-4417-aaf9-78acd754dde6", + "metadata": {}, + "source": [ + "Here is our retrieval of that table from the natural langugae query:" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "1bea75fe-85af-4955-a80c-6e0b44a8e215", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'Subject Context Modality Grade Method NAT SOC LAN | TXT IMG NO | Gi6~ G7-12 | Average Representative & SoTA methods with numbers reported in the literature Human [30] 90.23 84.97 87.48 | 89.60 87.50 88.10 | 91.59 82.42 88.40 GPT-3.5 [30] 74.64 69.74 76.00 | 74.44 67.28 77.42 | 76.80 68.89 73.97 GPT-3.5 w/ CoT [30] 75.44 70.87 78.09 | 74.68 67.43 79.93 | 78.23 69.68 75.17 LLaMA-Adapter [55] 84.37 88.30 84.36 | 83.72 80.32 86.90 | 85.83 84.05 85.19 MM-CoT gase [57] 87.52 77.17 85.82 | 87.88 82.90 86.83 | 84.65 85.37 84.91 MM-CoT farge [57] 95.91 82.00 90.82 | 95.26 88.80 92.89 | 92.44 90.31 | 91.68 Results with our own experiment runs GPT-4 84.06 73.45 87.36 | 81.87 70.75 90.73 | 84.69 79.10 82.69 LLaVA 90.36 95.95 88.00 | 89.49 88.00 90.66 | 90.93 90.90 90.92 LLaVA+GPT-4 (complement) 90.36 95.50 88.55 | 89.05 87.80 91.08 | 92.22 88.73 90.97 LLaVA+GPT-4 (judge) 91.56 96.74 91.09 | 90.62 88.99 93.52 | 92.73 92.16 92.53'" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# We can retrive this table\n", + "retriever.get_relevant_documents(\"What are results for LLaMA across across domains / subjects?\")[1]" + ] + }, + { + "cell_type": "markdown", + "id": "3dbb23d5-ae66-444d-8f5f-b24107fb9c57", + "metadata": {}, + "source": [ + "Image:" + ] + }, + { + "attachments": { + "5d505f36-17e1-4fe5-a405-f01f7a392716.jpg": { + "image/jpeg": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAE4AQUDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3qaVYYHlbO1FLHAycCuT0/wARa9f2Vrq8emWsul3W1kihnLXCxsRhiMbSRnJUHjnk4rq5zItvIYkDyBSVVjgE9hntXm8ssJhQaBpmqaV4geZS9rHFKsCtuG8vx5RTGfmHJ7c0AdzJ4j0eLUl06TUrVL0kKIDKA2T0GPU+lNfxLosd6tk+p2q3LOUERlG7cO2PWuPuSY9A1Tw8+m3cmq3NxMY3FsxjdnkLJN5mNoCgqSScjbj0p82ktJ4Y8SRSWLPJcaqXwYjmRd8eGHHIwDz7UAdfaeItHv4J57TUrWaK35mdJQQg65J7DHeqN3420K30e71OLUYLiG1HziKQFs9hz3OOPWub8ZaPeXmsTmyt5TGLGBpPKjDeYsdwGKAEbWO3OFPXp3qG5tptVtdZuLeXVL6X+y5IA89iLcMSQQgGxWdhg+wz70AdpH4gtHlMn2q0+xeTHIs3ncne5UZGMAEgAHPJyO1Rnxh4dFobo6zZeQH8sv5wwGxnH5c/Sue1qP8Ati7nnitJ5LaeHTwA8DLuAuyWBUjPA5IPatWHT0/4TzU7lrQeW+mQR+YU4Y75dy578bcj6UAat94h0jTFha+1G2txMMxmSQDcPUe3I56Ul74i0fTpIo7zUraB5RuQSSAbh6/T36V53p1re6V9nnvJ9RtI59JtYY/IsBcHKIQ0TAoxU5OcHAOfapRYNo9lFFEmq29w+nJDsnshdx3KAuRE4QfKy7scFRgjrigDvtZ1VtNt7SWNFkE93DbnJxgO4XP4Zp1/qq2GoQxzSW0du0MssjyS7WUJjJC45HPJyMcetY2qQXMvh3QkNkYpkvLJpIIwWEWHXcOOw9faqfja2lvdXt7a3TfNNpGopGo/iYiIAfnQB18t/awTQxSzokkwJjVmwWwMnH0HNY91410GDSr/AFCLUbe4jsozJIsUgJ9gOe5GB2rnNXvl8Q6lpIt9J1Ga2jguluFkt3h5aEjy8sByeRnp05qr5V3f6bqNlaJdXsY0eeCJ7uwME0DEALFuwofPsONo55oA7S916JPC82tWRS4jWEyphuGx2zU1z4h0iyv47C61K2hu3xtieQBjnp9M9vWszVZP7S8AXRtoZi0loVWNomV84xjaQDnPtWLdOtnZeINJu9Mu7u81CeZ4RHbM6XCuMJ8+Nq7RhTuIxtz6UAdbfeItH0y6S2vtStredwCqSyBTg8A+wzUUeuxrf6rHdNHBbWCxsZmbAwy7iT6YrlNOJ8PQapYa3p93f3l3sIkitmmW7XyUTZuAwCCrDDYHOe9UrfRNWs7z7ZcrLdQ6fBZm4sthIuGSLDOp/jdCAQOhI9SCAD0a51OysrE3t1cxw2wAJlkbaoB6cmse+8b6DZ6fb332+GW3nuFt1eOQcMSAc88Yzk98VH4qnc6XZTwRMY/tKO8wtTO9uu0kOI+pOcDocZzjiuRWG883U794tRuYBqOn3Pmy2mx5ERhvYRqoPAHpnA+lAHpF3qtjYQRzXl3DBHJnY8jhQcKWPJ9gT+FUW8R2dzYpdaZd2dxGbiOBmafaAWYDGcH5ueB3OPWsjxpNGJ/DE72sk8SamJDGiEtgQSnIXqSOuOvHrWTqKS6vq0+qWFpcrZPc6dEd8DoZXjuNzPtYA4VSBuI7HsKAOyPiTR11H+zm1O1F7nb5BkG7OM4x647daraN4v0jWklNtdx5S5a2ALjLMC2MY9QpI9hWBp09vaaamhXmi3dzfi8LOv2dtkjGXd5/m4246NnOeMYzVVRPaQyF7K7J0/xBJeTKsDkmFy+GTA+cYcEhckYNAHc3WtabZNKt1fQQmIKZPMkC7Q2dpPpnB/I1VfxXoMZtxJq1ohuVDRBpQNyk4B+hPFcbeB9c8Q3N0mnXRs5LjTNjTW7KJFSWQs2CM4Ge49+hFM1C0uLPVvEMN3NqarqMm6JLWwWdbiMxhQm8odpBBGGIAznuaAO7u/EOkWN7HZ3Wo28NzJjbE8gDcnA+mT0qze6jaabaNdXtzHbwLjdJK20DPTk159qsE2nrdW8CX73UttFG1pPZ/aYL8iMKAXUfI3G0ncAMZxXR6+JIjouoS2ksttZ3Be4hiQyMmY2UMFHLbSR0Gec9qAE1zxvpmn6FHqFleWdwZp0t4S0wCb2YA7iMkBc5PGeK6O1lM1rFIzIxdAxKHKnI7e1ef3sUup3c+o2Vjcx2k2padt3wMjSGOXLy7SAQMFRkgfc9MV6KMY4oAKD0NFB6GgBluSbaIk5JQfyopLb/AI9Yf9xf5UUASUYFRXEpht3kWN5CqkhExlvYZIFcVY+Mr28g8PXc1pMn28Tb7eJAxkKqCu3ngdeSR0OaAO6x7UYGK59fF9g0QxDcm7+0G1+x+X+98wLuIxnGNvzZzjHetDTNZt9UWcRpLFLbyeXNDMm142wDyOnIIIIJBzQBoYHpRisGHxbYTyRFYrkWs03kRXhT9075wADnPJGASME9DyKRfFtk08Km3vFt5rg20V00WInkyRgc55IIBIwfWgDewPSlwK5GfxuJ9Liv9M068mhe6igDvGqht0oRsZYEkcj0zj3plt4ukg1DXY7q1vJ47KdeIIQfIjMMbfNzycluBk/pQB2OB6UmB6Vz3ifXZrHwx/aGmq0rTNEsciKrbRIyjdhiAeG498dqRPFVraGe3uUvCbKJXu55I1CxAoGBYjjJHZQee1AHR4qoNMtBqZ1Hys3fl+UJGYnauckAHgZIGcdcDPSsk+L7KJHa7tL20xbPcoJ4seaiDLbcE8gc7Tg+1NXxlZtNBALG/wDOuY/NtYzCAZ0HVl5wMZGd23qPWgDo8D0oxWXaa/Y3eiy6qGeK2hEnneapVozGSHDD1BU1SbxhZQ2k1zd215axx2xugZowN8QxlhgnpkZBweelAHQ4owPSsKLxVZtcLDcQ3NqXiaeJp49olRRliuCeQMHBwcdqbB4usXYfaYLqxR7d7mN7qPYrxrgsRycYBBwcH2oA38D0pMD0rDtvFVlO8QmgurRJommhkuY9iyIoySOeDjnDYOO3Bp1l4ntLy5toDb3Vv9rUtavPHtWYAZ+XnIOOcNg4zxwaANvA9KTA9KyNQ8RQWF3JarZ3l1LFEJpRbxbhGhzgkkjJODwMnjpVT/hM7CWVo7K3u71lto7o/Z4wf3TglW5I64PHX0FAG3cWNtdy20s8Qd7aTzYTkja20rn8mI/GrGB6VgnxZYy/ZxZQ3N8Z7cXSi2jztiPRjkjGecDqcHjis+w1+5vfAuraxHMGliN6YH2YwsbuEyPYKOv40AddijA9KxbrX4NK0Wxvb7zHNwYowIk3FnccDA9TVSTxpaRfaw+n6iJLNd91H5IJhTGQxwcEEZ+6SeDxxQB0uB6UYHpWDdeK7K3eQQ215drFCs8r20W5Y0YZBJJGcjnAycdqjk8ZaeJ7qOGC6uBawLczSRR5VY2TepySM5APA5oA6LAorH1LxNpul+R9okYiaF51aNdw2KBk8epZQMdSwrI1zxcYdF1HyIbmy1GKza5gS5iHzqCBuHJBwSMg8jIyKAOvwPSiqGparBpVtFJMksjyuIo4ok3NI56AD8CcnAGOaxL/AMYNDDEbXTrp5hfR2lxC6qHjLYP97BJDAggkUAdVQehpEO5ASCCR0NKehoAjtv8Aj1h/3F/lRRbf8esP+4v8qKAHt90/SuM0DQdSsl0GK5gjUaYJ4ndZMhwwG1h9fQ9K7SgHIoA4O98L6g3iC81ZIfOU3nmpAly0LSRtBGhwy4wwZOhOCK3NA0uW3S+mmsxaPcsPlNy88hULgF2YnnrwOAMda6CigDgNM8K3lpa2GlTaf50dpJGftcl/KYmVGBUiLdw/A4xtB5yelI3h/W7n7ClzA73FtfRTzXUl+zJKqyBjsjzgcdiBjoM9a9A6UUAcda6DqNr4GsdP8qN721uY7gx+ZgPsnEmA3qQPzq/pumXcTeIJZolQ384liXcCceRGmDj/AGlNdFRQBzF1o95N4GsdKRE+1QpaBwW4/duhbn6KaZf6Bd30XiOIFIzfvE9u7cjKRoBuHpuX8q6qjNAHFa1put+I7YxzafFZ+Rb3AXM4cyyvC0YAwOF+cnJwenFag0q6/t7RLzYvlWllNBLzyGbysY9fuNXQgg9KCQKAOf07S7u20XU7Zo4DNcXV1LEso3RkSOxXcB2wRkVyet6ZqNr4a1crbPp9kumyRtbvdmdDJ8u0xg/dUAN6ZyOOK9MzTXRZFKuoZT1BHBoA4/UNP17Wri2fyIdPexjmaKbzA/mTNE0alQBwg3E889OKzL3wlqOslI3t5bNDaXFvI9xfPctudAAwBJG3I9ifQV6JwooDA9KAOWuLbW9c0+fS72ygsoJLaSCaZZfMLMyFQYwMYHOctg9sd6r6Xot5/aGntdaX5X2Mlmml1CWYFthXMSFsDqeWAwDjHcdlRQByWr6bq1xrNy4hlubWWJVgC3zwJAwB3b1XBbPHPPpx1png3w/f6KHF4kYJ02ztsq2fniVw34ZIrsKKAOH0DSNa8OW9oY7GK6Z7CC2mQThDG8ZfnJGCp39uRjoc1b0/RNSh8C6pplwsP266N4QIz8mZXdlx6D5hXW0UAc9qWlXV1pmiQRqpe0ureWUFuip97HrST6TdSXXiCRVXbe2iRQ/N1YK4OfTlhXRUUAcANB1xYDaTQvcxm0ihg2Xzwx25WIKwZVxu+YE55znHFavhbQbrTZbz7bHHsmtLSEANnJji2sD+NdVRQBwEXgzUJNLv7e5kjaWJY7bTyZG/1EUnmJuI5Un5VJH90Gm6j4b1DVLG9VdL+zym0khia41CSdy7bfu5Yqq8ck8njgV6DRQBgeI7TUrq3szYF2SObdcQRzmF5o9pG1XHQ5KnqM4xmsKPw9qscd5OloodtRtryKBroyMVjChlLt/Fwfb+dd5RQA1CWQFl2kjkelOPSiigBI0EcaoOQoAop1FAFe8JFjOQSCI2wR9K4rwz4i1WDQPDz6hYoLG7hihFy1wWm3lMhnXGMMR/eJ5GfbuJ4zNbyRA4LqVz6ZFYCeGnXw/oultcK39nNAWfZxIIxjpnjNAFSLxZqDW9tqcmlxro11IiQzifMoDnbG7ptwFYkdCSAR74WLxoZBof+hHdqDMtyN//AB6kMIznjn94Qvb1pIfCmoLa2mlTalE2jWkqPHEsJEzKjBo0Z92MAheQMnH1px8HMDrhiuwhvyGtvkz9lbJfI55/eHd27UAWLvVn1Dwrr1zEpiEC3MUUity3lqVLD0+YMPwqlZ+JdRsrfTJNV09ILC7VY45xOXkRiuV8xdoxuwehODgGtaHQTD4PbQ1mBdrVoWmK/edlO58e5JP41nJ4X1G5WwtNU1GG50+xIZESEpJKwUqu9txHGc8AZOPpQBV0/wAeG7uLGSSCySxvpFjh2XqvOm77hePHAJwOCSMjPfE8fi+6XWbe1vLS0hiuZzBGi3ga4Q4JUvHjgHHYnGRRpnhO/wBPaztzeWZsrQjY0dmFuJFAwqs+SOOMkAE47VBY+Cry0OnRNeWZgsJ1mVo7TbNPjP8ArH3HJ55IHJ59qANNvEsh8NaXqq2w338lvGIjJgJ5rKvXHON3pWHp2taxcWVrJqUMTTvrE9tB5N0yrlfOwHwoyo2Y6HPBPPFXE8Jat9jsNOk1WA6fp91FNAq25EjpG4ZUc7scAYyAOQD6g27fwvdQzRA3kTW8GpvqES+UQ3z+YWQnODzJwcdBQBmeEdRv4bOxe+hVp9VvplMounk+6sjZwwAX7m0AcYwataprE0/irTrBd0a22qJGzK5/eK1rK+CPTOPyqz/wjN5BpGmwWd7El7p9w88UskRZG3bwVZQQcbZCOD1FRW/hO+/thNTvNRjmm+3JduEh2r8sDxbF5OB8wOTnp70AVfGes32lzX7aapF3DpZnV3nIRQJMH5MEFvfHtXST319aaI11LZrLeJHk28EmQW9AzAce5FZ+u+GG1q5vZPtQiFzprWQ+TO0ltwbrz9Kn1bRrrWfDbadc3MK3LbGaRIiY2ZWDYKE8qcYIzyCaAObvvFFzf6df2cptI7uB7WUSWF35yFHnVSCcAg8EEY6GtXS7l/8AhG9emleWTyru9x+8IIVXbADdRx0x0qufB17O9xLPd2iPNHBGI7a28uNBHKJOBkkk9OT/ACrYttCeDR9UsTOCb2W4kD7fueaSce+M0AYUHi27XybOxsYpmhtIZmiuLzbPMHQH92CDvx0ySMniu2jbdGrYIyOhrjb/AMG395py6c17ZS2vkRxA3Nnve3ZUClojuGCcZGc4PftXUWUF3A0qzzpLF8ohAQhlUKAdxz8xzk5460AXKKKKACiiigAooooAKKKKACiiigAooooAKKKKAFooooASiobu5isrOa6ncJDChkdj2UDJNfM3iL47eJr3Vpjo00djYBsQp5Su7D1YnPJ9BSbGlc+n6K+SR8ZvHGMHVgf+2Cf4U8fGjxtj/kJr/wB+VpXK5GfWdFfJw+NfjQD/AI/oz9YhTx8bPGeP+P2P/v0KOYORn1dRXymvxu8XdWukP/AAP6VIvxt8Un783/fOB/Q0ubyD2bPqiivlkfGvxFxmabP/AF0X/wCJp6/GbX2PzXV2P92SP+qUc/kP2bPqOivl3/hcWvEH/TtQB7YeI/8AtOl/4W/rh/5impL9PJP/ALJR7RB7Nn1DRXzCPi7rOedY1X/vmD/4ik/4W3r27/kO6kF9PIgP/stL2iD2TPp+ivmJfi5ruefEOofjawf4Un/C3fEAbI8RXeP9qzio9og9kz6eor5i/wCFueIiw/4qWYL3zYJmkPxa8SdvErD62K0e0QeyZ9PUV8wf8Lb8TY/5GRev/PmKT/hbfibH/Iyp/wCAdHtA9kz6gor5gPxZ8THp4kix/wBep/wpB8WfFBBz4ii6/wDPuf8A4mj2nkP2T7n1BRXy/wD8LY8UY/5GKLP/AFw/+xpf+Fr+KC2P+Ejh/wC/P/2NHtPIPZPufT9FfL3/AAtbxSP+ZjiP/bL/AOxpG+LHisYx4gjPPOEH/wARR7QXs2fUVFfLx+K/in/oYE/75H/xFH/C1/FWM/2+v5L/APEUvarsHs2fUNFfMMPxS8WzuEXXlyeOSg/mldHYeJPG9+2xddkt58bkWWOMq/0IXOPfBFTKvGO6H7JnvdFeN+H/AInarpus/wBneK8FGIUTqgwvbPy8Ee9exqQwBHetIVFNXREouL1HUUUVZJgeNo3m8D65FF997GZV+pQ18jf8IhqpA2xqw68OOn519ceOCV8C66w6ixmP/jpr5MW8mH/LQ5+tYVZSi1Y2pJdSP/hDda3YFo2fr1p//CEa/tB/s+Yg+ik077fMOfNY/Q1OmpzDjz5MnvuIxWPtahtyIrf8IT4gxxp05+kZpjeDNeQZOnzge6Gti1u9QupBHbzXUjf7JNa9nZa7MzA3FxDtbBMkhXnH61EsRKO5UaV9kca3hLXEIDafOCf9g03/AIRfWs4+wT/XYa7tbTxKVbZc3TAHBAl5I9uarPq2s2r4mvbqNuhLs36H8KFiXLawOlbc4s+GtXB/48peP9k0HQ9SQHNpJx7V2n/CQ6rE5X7dOCB0JI/rUw8RakMf6Y59y2cU3Xn2D2aRw39j6iFz9kk/KkbSb5DhrZwfcV3Z8T6iGz9qLZ6FutIfFGoZ5lRs+oGBUe3l2H7NHBf2feDJ+zvj/dpDY3Q/5YSf9813TeJL0nO+PJ4yUFM/4SO4GPkgOP8ApkP8KPby7C9mjhfs05yfKfj2pGgmA5jb06V3P/CSTONrW9uD/eEYz/KoW14hvmtoGBPUxj8ulUqz7D9mjiPJlPzeW2PXFL5chP3DzXX/ANsYZtttAvf7g703+2QQS9pbdeAEFP2z7B7NdzkPLfP3T+VJtb+61dcdWQ4Js4T6YUUw6rFuJ+xxH/gNCrPsL2ce5ymGxyp49qMMR0NdX/acG3mzgwPbrR/aNvkg2UO3H92n7Z9hezXc5Xa3PymkwR1BFdUNRtMDNmn4CmG9tMANbIc8mj2z7A6a7nNYPYZo2t3U10YubVQMWqADp1pDdwg/LAOmKPavsHs13OdKnGSCKQZ9DXQC7hJO6ADPpUy3VmeGtl56nrR7XyFyeZz0QBJyK1LPXbrTsRRTO0G7cYs8A+q+h9xXSzw6DqWlOttH9nu4+d2eHH07VwcyGOZ0PBBpwkp9BNcp27ag2r2yLI29wMpI3WvquzJNlBnr5a/yr4102Qraj5j8hIr7Jsv+PG3/AOua/wAquhHlbRlVd7FiiiiuoxOe8df8iHr3/XhN/wCgGvkMbvU19e+OBnwLrv8A14zf+gGvkrHG3t1xXPWdmjejsyoQQ+CpIrrNA8KDUoRd3cjxwOcRov3iPXNYMUal13/czyfQV6bZ3dimnobRkFsvyIc4x/n3rixFWUY+6dtGCk9SxaaZb6XaeVbBVTPTux9avJBhwXPDDPXpVRbiEhy6lvl+XByW9xTra6uJlCvG6HAyWH6CvLlzPWR2pJKxpxxrG+0SbVxxn1pGtklBRtpXIZlYZrMmn8p0LMVVGwS3H0P54q59pjDKJZirv0TFZ6g0RanZRsxhYb1nUjGO9cXP4a1S2P7u1eWJzhCgyfxHWu8E6gEkncFBG4cAep9D1qEaskUsRZ8I+RHj2/pWtKtOGi1M5Uro831LSb6yiSS6t5YkccFv5e30rMLYOSTx7V0/ijxU2pQmyiGYA4JZhjJHpXIGd2cADj0r06SlKN5KxySSTsiwSMdOtMOSuSfrml6AfSkC/KMYwKuxKRLZafd6hOYrSF5nxnCjoPU/nWong3Xmm8r7LsJXeCzj8uvWu88LeHDotqZJmja4mwSyc4XsOa35MMQqs2VXcTj0rhq4zllyxVzojR01PBruCa0upLeZCJY2KsvvRciCKRBBM8o2jcWTbhu4HPSvTNe8K2+sB7hJNl8R8pUcMMYAP4DrXm32R4rhBcW84CtmRShBC8d/zrto1Y1I3RnOm4sr7znHqKfDBcXT7LeKSVu4Rc4rYutIGoX0S6VaNFAVGZHbK59zz6Gu28PaGdL02PeqGZyS7rj5s9OvOMVNavGnG/UcKTk9djza80y/so1kuLSSJG5DFeKqpuOAoJb2717h/ZEFzbut1teOQYKHkVx+v+BBFmbSsg55QvgD6d6ypYuM/dlownRtsefE5HHGaAW9M1fMH9k6iI7y2LyxN88TEbSOPzGM/pWnp+g392VurWCPZMrH94nyKD2GeSR9K63JJXM1Fs59JWjdWBAYHjijfXSt4E1NWjy0R3/eJPC/41SvfDOpWQXFv5yDq0IJ/SpVSnLS4OEuxkq4J6jnrzU8aoVPPfjio5beSFx5sTxkjI3KR/OlRyBjPbAoa7GdrE8ZKSYUHp29KyNRU+eW5rVgZNpaRN/ykDBxg+tVdShJi3+neqp6SFLVDdLbIlU+mRX2lZf8eNv/ANc1/lXxLpr7blck4YFa+2rL/jxt/wDrmv8AIV0017zMKmyLFFFFbGRgeNhnwPrg/wCnGX/0E18oeWN3II4719YeNRnwRrf/AF5S/wDoBr5TOT1YseByT0rkxO6OijsxoUA8Vs6R4Xk1aISzXJitmbaUU8tj+VZUUe6VVBOSwxx0r0/S9NjsohBEp8temerH1NcNeq6a03O2hBS3GQWVvZKttaxoiRqAuzqPxpxlZHZZCwZTjKjrxVmRYvNeM4UMPvAY59qSMwEskDBmHXHJ/OvOcnJ3Z3pKwLwWBXc7jBwcZ+ppup2DX1gYUmMUicxyDnDdRn2pyEx/KWwCDuboVNSR3DKiPIVVm656GpvZpiaOBm8T3VhDLp2pRyRXCqRubgH06DkVkXnisTWlva2iTrt5djhQCTk7QPrWz8SpUuIbYRsitDksBzkHGOfz4rg7NskK2D79xXtUKdOVNTSOCrUqKXLc3VtzPFl2YA85ApHtkRFUA7sfNkjn3FS2c3lJtbOAOD/n2qWVN/zBgOd3Bp3adiNCpFC8jqFG5s4wPWvRbT4c2zwQtPezCQpl1UKAD7fSsbwRZW8+oyzSMpkt1Dqp9fX9K9KR8R4xg9vpXBisRKMuWJvCCtc52912LQDFBJE8kaYR3Ucr2BP14rTtLqLUo2mi8xG9CMcVLNp6STOZHD7lPyMoIzx1Hfp3qtqkMum+Gm8navlwkwu7ccZwT09q5OVTStubuVjQiUrB91ducAjggYFY+tWMF9pdxbupaSQHyyWIAbHBrI0LWtXvPDa3Umn7pRuYvIdu5eeVHU1W0rxC+r6mlpGC0axs0kgUgD0HNaRw9SnJtdBKUXv1L2laOLGzS1yWKDIb17n/APVWg/mRR4IJ2DAJHtTwksUiiJiep6cY9/8APeril7tCFjOOQRjk1hKblK7NrJGbHqUojwxAIOMcVfSWK8gdcM/l4OPU1n39lHbxNNGAoA4GMnPaoTfJBBHIr9cg7TxxV2vsJpNFTU9JsLzXrSa4X54gQQOjkHgH1roEMWMAqMD8q841S/1TUdZt/wCygXVHJZgDsHsT06A11NnNqSNsCBY8Ak9ef8966KtKahG7M4STbSR0IlfyGTaoA5+tVXg8yM88Hrmqq3d1u+Zfmx1PTP8AWkN3MZNu49OwzXMk0aJWFutMgvLcxzxLIh7N1zXmuuaU2k6g0QDGF/mQkdB6V6azkkkMwA9f8KqajZC+06WB+A64+npXTQrODs9jCrTUkeW7sjC4HueAKLxmltCznLdzTrm3e2uHgkI3xnBIHBp5jLW7JkMSM16SeqscL7MwY38t1YcYOa+47E5sLf8A65L/ACFfDTqVcjHQ19yWH/IPtv8Arkv8hXbA5ahZooorQzMLxn/yJWtf9eUv/oJr5UfCrnn+dfVnjLnwXrQzj/Q5f/QTXy1LGYok3MuWGRg84z3rkxG6OigtGaPhrTPt1+JJCyRW2JCRzuOeBXoqZ5KN0/SvNdK1aTSLgnbmF+HQd/ce9dxpOuafqMZFvIPNVjuifAY49vSvKxUZvXoelQlFK3U0MxzZIKMV698URRJEhdjszkDJx3przRRs0oPy4xhRz9BUknltIv7wM4IwA3K1xo6WxbhYkXa4+U84PUiqkJk1IG2iRCsBBaVz9/H+cfhTNQnjVGhkkImk6c8gdc/TjH41hR+LLLSbt4VcyLIBsRcHyzkls+o/OtI0pT+FEuaS1Mnxxpk0U5wENuwGCFA28/8A18fjXPWWnRooYEk8ZJ7DjpXq9ytvrmkyrKsTI0ZzJGwxj2P4V5iZIrTUriCGUzQJIfLdjXpYWo5U+XqjjrR9/mJIrMPISNu3buGTgcVqaVpy32rQ2jghOS5zztA5x+VZ4RQSNwJzgcYzW14UdU8QQDcVDBgPrgkD9KdVtRdhRs2do+l2+n2zTafaxQyoDnanzOB/DV+2Y3CecisCQBtbtx0x61S1Oaa3X7VFGWeP5TEOrUkF3HavC4G55pAEDnkAjluvpXj+9PVnbay0Ld3i4tZWL7dilCw4x6kVUhlfVLBN+1l8zbIegYDBJA9/0qXUZftsfkxyFIV5Yjgsc9Pp61LA6rbbD8oQZUYwDz/WleyFay1HXsKmEC1UIgADBOMr3x/Sqd3Nbw3LspiBWIMHGAWXnqfb+tasVwWupF8nA2ghs/Ln2/WuR8QeB49Zv2ujqM8T43JHsBQe3H0rSi03acrIl3WyNmO7Sa0JzhzgjI6jH/66bHqJhikWAMzk8kdB+NVtA0nVbBTBeXlvd24G2JVX5gB+HTms3Xb+50m9dJoVitZMmBkfnI6jnoTn9KqNG8nGLuV7RdR+p3DSWU63TtHlcLz36j8f/rVl6d4Xu7lvM1e9mFuxylrE2MD/AGv61e0Rf7YK3l1F8kUh8tXOQCDjd7nr+VdJENw343DpwK0dR0FyLcOVTd+gWljbJCgEarGq4VVGAB6UnyRyeWijB9sUx0KuSh3EjpTXhIjBZ1Xgda5nJvVl2SAmMkgge3fP0qvKIyVwh3DJyOn5VcIhaIurZPY561T8tlUtkYOFwoyeefwpodyOKbeApJ3j1U+9PZXlAHRT1OKaitDE5kIL55cDHH0pba6Q7o2Ab+L+dXbS5DOZ8W6RFLD9sg2JJGCW3cZUD+dcdayrIGRSrE98V6RqUFtdWc0MzHEkZGB2rza2tDCPMWNljZtu4r1x1r0sPK8Nehx1Y2lcx7wbbphgjmvt+w/5B1t/1yX+Qr4o1aMrc7sYya+17D/kH23/AFyX+Qr0qTvE8+ruWaKKK1MjD8YAHwbrIPT7HL/6Ca+WZYAdwUA7hk19TeMP+RN1n/rzl/8AQTXzI4AB+X5iK48S7SR00NmZwO7achkxk+v41H5ht7pLi2ZklU8HHGfx7dal8kRTrJFyFbLqeh9qdM3mMW2KoLcDBwtYp2OhaHonhy7XVLCKVsBxlZMcYYdavtZqJCwQI3J3jqOev1rkPCl4iQtA0gSUuWGRgHgdM/Q1213KoAkCjdsHNeXXjyzdjuhK6Rx3irTJb6ZJjdyC4+YRrtAHsCK4jM1xdnz9y3kI2YIAx7ACu/1ScSzWrK3zIxdmxwBXF3BaTxRcvgAgDcB3O0V3YWpLkafQxrwW4kUt3HBLbRzyJFJw6BjtYU+G1SBdy5xjvzWu25rURHAQHOMDr9armNRxkHnnFX7RnOyKIkYY7GVuAM42+h47c1c0y9/s3UobpV3mM5Iz1GMGq6qAxIAz+VRtlSRkbT1wKNJaDUrG/wCJPHL3Nk9tYWcokc4LPg7gRz3qLTtdgl1PTolSS3gjxveYhjnbgAHsMkflWC9uCAxHQ4GB0P0+lOaFpIh5KliTgKx5oVKmo8sUaRqS7nq7eWqgA8nJ49T3/Oq6TJKHxJjZy2ePqBXAWnirUrM7XcXSMFADnkL6ZH1qhLqOpXV47iV4UkUAJE3fPXNcccDK75nobOvGx7FATGfMyGU+vQdutI0hd5ZMSFUxgleGJzk1QsUvI9HjhvQn2gLhzu3HPY5/WteNHuYUd87WyTk44ya4JRs2i79SrblLZXkJ3LyVBPPPJ/pXmXxCv21W9s0S3lijwxV34EnQDH8/xr0u7kWOYIygozBAO3v+grmPEVnb6xpx+0OUFvNttlRcZI4K/j09uK6sHUUJ8zFODkjM8Eq9tCbaRmKsd8YI5HHpXdsyQQ7l6nisC20dLNFuI4isoUAMWJKjH/1qo+IbjW4bZJbWGOWLdmRRksf/AK1FRe2q+6Ne7HU1/tfmyMwOR+mKc11GFXdlu2Txj2rkW1nWDbq0drH5jANGhY8A/h1q1pN9dXwKXyqt0jkiNecKOhz/AFpyw7iuZl86bsdJhDEA4ZWByQT2pVIkclVPHXd3pjyZURAAc5OR2+tLuAddj5wOnc1jYuxDdOiLmRsHoBjP4Vz2ra2ukW/2h0eQuQqquB26fpW5eSwxxNvbB64J4+teWavef2pqjssjvbxn92pGAPwrtwtJT1lsjlrVORablq88R6lqHmIpW3hddpVRkkfX1q5Y3FqtvFGs7rLjD7x8v/66w+wHTA6VbggE42ltpDDIHJx6gd+ld0oq1lojmjN812HiSVbqVZ1B24wM+1fYlh/yD7b/AK5L/IV8cagoksj5RLrGThiMEj6dq+x7D/kH23/XJf5CujD/AAnJX+Is0UUV0GBh+MTjwbrP/XnL/wCgmvmNnwR8oJYd+ea+nPGOP+EN1nPT7HL/AOgmvmDz5G3dAucL61x4ndHVh9mNcOnmKeD9c1Xc9GTv19KsyFXlKlWIzjg/dpjKo29FBPeua/U6SmryRShxlZA3GDjFegaVqN9rWnyyR2uDGNrMX+UnHb/CuClUpIHGfx716f4UiEHhy3VwT5m52xzwTx+gFY4nl5E7amtFtM4/VJl06xckkMgO7cu3c3PHv6VgaXbukCTSMrPP+8Zicnr0P5V6vfWIvtLltJfmRweH5GD/ACFclaeHrGPSZ4gH+1QyZD7z8y+w/Me+KmlXgqbXUqpCU5XMtVIUD72elWJbOSKLfIoQA45IBb+uKkex+1Wjy2hCyQ/fhfPz49PQ0y0vzf6eYSV8qNgxQgBhjrtqr3VzJwtoUvKJzgfiaeYgY9rcn37VKVycA8dvelCkcj8TTMiu8PlrtAyDySTkjrxSRrmIcE7iBtHPt/n61ZbOM8/yqLCjZHu2k9GzxVqTKVyvcRTRARNE0ZxndtwSD0/kafBbsclQCFKhSAQAcjAH4Z9utaNvomo6lEZkKSoAVBkbJPXgZ/Hr61t2Xh64ijWK6XajnayQn7464Y+3tROvCKtc0jBt3JdM8XJvlh1JUikRfkkUEBwBzkeuK0P+EhQ6e00U6LAp4ld/4fpWVeeEEluIpLYtHF8pkt35JGecNnirp8JaM9sFitSdozyTn8eetcU1h783c2XNsc/deLA237Ej3M7IwSaXICk8Dg/XoK0vDWk3dnbm4v7h57mUbirnIj+lJe+FYrfZc2rmMIeUkG4bgeOevatazvRcRKJBscZBU+v9R71dScfZ2pLTqOEZOV5GgoLBA3GOMjnJpZYWjjYP1qrEzrK+CR2AxzmpvKZ48Mxbvk1xp6mrViq1lHhJYUEbg5IxkE/0rJmh8qVp0cKynD7lzwff0rdll8hgPmKjPUdBXP6lc774iN+DHkn1HpW0Lth1Lq3HnDEbY+X5sc/lUMl95UTtJJHGoHzMxxiuHtb+/VL2exuhHbK52eYQcewz+J/Cse/u7i5YC5uXmRjnB4Gcegrsjgve1ZhLE6aI19e199QLxWTO0YOHnwcY9BWF5agEICFPQen409WYRlFbEZOSvrQGLPjgcY4GK7oxUI8sdjlk3J3YiuoXkH656U43EsIZVldVb+4SOaaiBycduenpUyx+Yys5KoGGXC5C/hTvYmwiyiW3liVSo25Abn9a+zLD/kH23/XJf5Cvj4QbJPOlcbJASDwMjp0HSvsKy/48bf8A65r/ACrWi1rYwr9CxRRRW5zmF4xOPBmsnGf9Dl4/4Ca+YRtBBVSDzz1/z2r6e8Y8+DdZB/585f8A0E18wyxoxj8tZMY+8eme9ceJ+JHXhtmTyy+ZKrMqnagUBRjJHc+9QfIwZmyzk9cDNAVlJK45Ppn8M0sgVBuJAY9s9xXIdO5BJEX3ZIUnrnqK7jwxrUL2UGnSuftEQKKSOGUdMfh/KuM+Y4LEZ5yeorZ8MRxya2zyBsohMfOBkYH48Z4rOqrw1Lp6M9BSDDMBIfmAx7fSqUkEccUi4xvPOexxj+VXYXPIyeewFVpVkVnH3o1OM+przb6nWlqUIfs8FvLiNdrAbgAMk1hJ4atI7JpY3lSZySfLkJU85xg9u1bk43qEXGSOf502VTHZtlvm2jafTmtI1JR2CVNPc4Ke8ezvmtblfmXjd3I7HFaCgMoIxnvR44QKsFzsI3EBT09c1W09zJaI3Ukf55r0VrFSOCcbSsTSAkEAHB6nFFpAst9bQvwJHVSQeQc4/rikZ8NtC5HuePWpHdY5YZQrKQwJOT83uPxH60ndKw46Ho1tZ28KiCOIRjkhe1T+Sq4EqlsH16VDBcQSos8ZDFuRg9Panh2YnkjnIOOleS276nZuhrnaWYgKfr1PpUcU/wDpBjYbTJzlRnmpnldUYsmS3B9qqiNgA7qrSqxXg8/e4/pQkNLQsyBWSRVcsSxLqQByay7rSIWl8yKeRGj+bCEYPrxWosSvcK7sOR8wI4P+f61CY13scdyM1UJOOqFoc/8Abrq3vIWuLeQW7nC3AcbeRxkdRzWomtxeaI3BDk8elXmQRq5aXfzgAdvavMfFmrFdRW2sGGZVIkIPK88EY6HFdNOmq7slYmVRQV5anfvc21+rRktjlSR1H5VlXsMS2csTKyqoOGHXGK5rQL9rCzEYlEk28s5c8kH3rW1TUIrvTiwn8l2BHqy5yM9frVKk4TSWw0043OHslQwYDlYgxBPcjscfnVd1dBg4K5x7/nVi3QAm3R1ZkJy3Y0k0fyg52mvTTtI4CunOeOnXnpTlXk9SfamKpJyxXjuRin54PPTvVNgNDmOQ7CVyMcHH4VOkzJEyDBQ9QRmogmQSWG7PBpSzZwRjFJ6ibAy72y7d6+zbH/jwt/8Armv8hXxhwQTx19a+0LH/AI8Lf/rkv8hW1Dqc9boWKKKK6DAxPF4z4P1getnL/wCgmvmV/kVQh68AV9NeLgT4Q1fBwfskv/oJr5q8o7yOOOeetcOL3R14bZjFVXLHI4PPH6UkiNG29lZOPlyvB96V1KMS3I6gCml5rh8TO7rjnJ+6PQVyo6iJiSSVJb5e2K1dFufsuqW7kYU/Jz2B4/nWW8CKpRHKnaOe9S7G4aNWCq3HsacrNWGnZ3PTRMAAckADkij7sfAODzmqOhzJqOkiSYnzEbY3OM8VoTFjgxgYxwprypRalY7IyTKSojSEkZduPpVW9VFU5VmjGcsOvTGBS21x/wATN47gMjbDtUHjnHPv0qO/njRWEe5ij4UE8kkZyPzqoxakOTseb+JpLwzWP2ucyKwJ8rP3SDjtWpAAsCIq7Qqg7RWRqEs2s+I3ilUIlvlcL046n863I4iF+U7QB0P5CvXqK0Ipnn3vJsjACSF+ckDqfTPb8acHVYsTFwd2VYEEf56elNkQmM87iBnPHJ/z6UqlInAlOWDZC9m+o9qi2paNvQLuCxvXEtyQAmUJf5ckjPHr/hXVWd8LpUZGSQbiCy9DgkV5vEQTmQDYc9D0yCee4/lXT+F7pGhNqkbryxRxyvbj681y4iimuZGsJ9Gdk7LLA0i9M4wD/nvVfcRGRIqmRsHeD0pghmVE2MVUdifvevFTyo0duWIy3pXCkzXYihi8yPmTcQevfpVHUZWtI3+6OAwcn86stNDbEB93Jxkc9fauS8Xa9FZWb28OZLicFYx746/rWtKm5zUUKc+VXZd13xCmm2s6FzLPMf3KjqxAx/QV57Y2xPmTzkNM7HdUlslxKFkvJGmlUcFznA9B+VWQFBGARx+lepGCpLlicUpubuQSDAUBugwM/wCfrUDRKwB+br2brVuQDdjjdnp61E43IOnoQKabE2QpHHCuEXBPeh/uHDEYpcsoCnkDpk1Gwyc849BVLViIyN8RAHBOBkcZqLywrbSB7dKeQdu4jGGwMc8U8cYOTn0PaqegEaggH+dNLHd8zY4qTc3Yc5xTD8x5/WgljCeMjNfaNj/x4W//AFzX+Qr4ulcYAWNVwP4c5NfaNj/x4W//AFyX+QrqomFboWaKKK2MDF8W8+EdWGf+XST/ANBNfNTxrjnq3XvX0p4t/wCRR1f/AK9Jf/QTXzakYYBhuJHT6Vw4t6o7MNsyAoCE2thPp1pnmKrEIJAT8xwOtSNlJnYDKjAJPrSKh5PK8cjrzXOjpAJncUznOf8A9VI6jzBnOQ3HU9sYp658s4Vmzjkdff8ApRFA7M77FJbJ4A/z0oWwzu7aNdO0i2tmL7iyq7DnBb3H1/StW5iPkhQ3lgrtB9KxdM1KzuLK2tZJVeUYWRGHORyPr0FaV6fOi2q5UjnPTFebNe9ZnTHZHM30e3UY1aSTbEeHHYngAn0rnL3xJd/2jNpdqseThXuU+cjHXHp2rpLqcxFVKO2ZdgLHgnIOfyBribG1+x61fJETIijqR3P047/pXfhoxs21sZYiUtEmW7TTVgOQzGRzuYsQd5znn0zVyRDsChSVx93PXpT1jkiKEjAAwMDmnyoJoflIYnt68Z7VpOXMYJWKwQlT5bbs9Pm/Aj3/AMailjV/LBwWXgdRyPX04yak84xuBhTg5L57cin7+V5TeoySBzu/OqQ07FdbYmQzSOpA2oqrkLjHHPc//XrqvB7IrXZRGWLIAH3sMOPwOAK5lWBOTlj1BHWup8ITjzrqCV1VhiRc4+b1P51lXv7NlwacjrIbhngj2DkfMQRyM/5NQNI7tJG+QyYPoDnNSrdQxIE8wB3yBjnuar+WVMhIZQW5J4J968w3iYeuzvbBQi735KLnGT9TXndtN9tuTd6kfPkO5NjkgKOmB713/i5pDoV2Vkx5ak5PQHj/AOtXm2lsxsyN3zZyAeh65r1cGkqbZz13eaTLsYYIfmwAMZ3H1/z+VSb2IIz1+6f1pYJvJm3yRqyY6N0I6U2J8rypjbjhj1+vp9K3au7syYm/C4GScYyTzULMpfoSc4qV8lcrn1OM8/8A1qTyi2AeAfy5qZWuCVyBgxJIIHPUDJqIlt+Mnnq2K318Oai6M0MSyR4+V1bAb6ZqjeaTqFkga4tZBHjJdRuA+uKUZp9QcWjObClRt+tKDvGCpBzSearZZCD64pwddoOQDVbIkif5W4ximE4yBnFSMwIIJBNQAnAweM8U0JjXHJNfadj/AMeFv/1yX+Qr4sf+L096+07H/kH23/XJf5Cuiic9XoWaKKK3MTF8WnHhLVjx/wAeknX/AHTXzef9W75wUJPB619HeMP+RN1jHX7HL/6Ca+akcMqIM89C64Un+lcOLWqOzDbMSRCSsit2JBByRipbaNnRTJNs+Un5iB0PPFVVYlmRQGCnkgY61YQJMgONrHqP89K59bHUEZExXoR3xx19vx/lVloTDCpZlYyA7cdM5qMRoqhncEtwvGcc9/ShlkAAUjC5JCgEn3oBm54dtgrPNJhmTKKAM4z/AJxWnfXq/Zg6nABw3tXM2Wr3GnxS8b94G8e+e1b6JDNZLMP9TOARnjbkYx+dctaD5uY6KTWxgX2otDpsrlRueYmLjkkjC/nms6xtFsoFQkvIp3SZz8x7mmXlyst7BYpjAIkJ6jCnA/M1eCkxpygLD5x/d545P1rrhHlhbuYVHeRGsyvnfy4xg88H3oU+bEDuLcYB6c9Pc9/TvQ8QLcEEDn3FMKkTA9COMjvzxn+g96pJGYsiqclHByeOPpj8qbjcSuCA33gOCenPb+dLwMsDnB4z1/EfgajdgWHysSeOP4fTPNO/YVxHR1LHbt75GB9ef8mprG8ewukmjUsE3bwT1GM44qpu/wBgb+OWHB6fpUyushDLG4Y5BZlzzz/nkU7JqzHqtUeiaddQ39kkjxBPMGcdcY96uQncfKY/L2PU1w3h/Vvsdy1vO5WGRt2/ONnTqfQ8V26zpIuAxPuDXl1qfJKy2OqMuZHGeOYHXR5rmJypQ9N2QVPYj8a4mzO2xjIwMdx64yfrXZfEC5hOni0jcNNMy4jVumOpPtXKwReTAschzgAZ7D8fwr0sLdUVc5qrvIkCAswU5HVt3Tp/9emhgMEkEA4JPYninlwYwrMoweKcy+WhDn5sjG7J+latmZHkAHnoMc9qv6Hpb3s5kl+eGJxuUnlvYfhVDBzkjBP6V2XgyHNhI2zbmXgnuMD+Vc9aXLBs0pq7N/euzAwM9ABx9KiaQsjIACD61Lc24VD1H061Sgwgcc5Pb0Neet7nbZWMTUfDmn3dy0jpslK/K0Zxz79qxLjwvcQnbDcq3++MDH1HeuymTzn3ZAYcnBzmoihz1U7s/hW8a81o2ZSpRZ57eaRf2UHnywExd2jO7b9azEfrz8p716bKpU+W2DGwO9c5FcBrOlPpUyunNrKx2jByntXZRqKas9zmqU3FXRQkO5T7d6+1LH/kH23/AFyX+Qr4okOVz2r7XsP+Qfbf9cl/kK7KJw1ehZooorcyMTxcSvhHViMZFpJ1/wB0182CKdoyvmFjnJJGSK+lPFhH/CJatkZH2STj1+U186D5NwQBVzkE1w4t6o7MNsyk1s7OW2/M38PPNXLC13TNE7CIhjkngE96ZeKfKd2YgqPvLyT9P1p8Ee+EFsn1B4P4j8a5dbXOkSSHdMxBJO8jj0HtS/M7nOdqkEEHvVlLaMkYbnGTnp70PEM8cbTjk9cj/wCv+lMGyg0TgEFBFg4UhgQc/wCfTtWtp1+bWya2kaSSNQNgP8PPT6ZqusW5y6hiAc8dB/8AXpTggkBf7wAPf8KJWkrMFJp6GY9o8mtS37DaQuEQLwBnnPv1q4FjZiF5HQY9PqKsopH3h83YfWkIVAO/HXHP407t6E7srvEwKKmMnrycn/OaiLMuFJ+b1bqv9OtWpHw24jDA9un4flWW2rW8dwYjkgDkjt7VUbsHpuW0Q5PzZOBkN3/+tzTJVbewRVLY64z0/wD11KJw9sHXjPX5vy5/Cqu8RE5kJ6tnk59qLAMIIlxlVGNwBOen6UmAWVEaQFuMheCAec4+n60nmKcbc5Y4IA9vTn3qpczQRonnKPOVgwVuCMVcdWD2LSj5ZE8xW5JIbnAH+Qenf3poubkgH7RIoHGEkIA7cVBFeRSkAbmX7gLNyeP61YJBYxrCCEUNgA8A+vv/AI1TWok30EIEp824mLtk/vGbOfYnt6VGYxvKgBiWJ56Funv71J/sbgG/iUcjtRFmOUFgjKcqS/rjjH05ovYLFcRiNicct94jqSPakbI3MoO4cYJ6881YkddyoEClcjf6jqPy/rUbJkE4+X1OKlyFYjjwkoLZxkbiBk4+lek2VzD9nR7fZ5W3CbOlechSo4yc881c0rU30+4Cjcbdvvp6e4Hasa0OdaGlOVnY9GdzIgJbn2qoY1AYqmQBzkVVhnMiCSOUMDyR60szyRlXDDleQa4bWO1bDAWRtyrhuvHQil8ve3mk4HXk0+CVZpNqfM2fTpTdRlEIRVKg4wQCKES2Z0nySyEEurfoao6hCj2zwTJ8jrUsl0CGAI29SoHSorieM2o3DBHAArSLadxStaxwV1avZnY+CpJCsDX2pY/8g+2/65L/ACFfGmsyb73y1GAgHPqa+y7H/kH23/XJf5Cvaou6uzx66SlZFmiiitzAxvFQz4U1UetrJ/6Ca+fvLGzAxnr82cV9BeKTjwrqhxn/AEWTj1+U18+knyySAnGe1cGM+JHZhtmVnRmk2gYPoxwPrxVi3Tyl8tJC2eckjv2pV2sh25bAx14qK3iYMwwSHOOmD9K5Oh0lzbvU85OPTpTCuPlT+LgkHjP+PSpCoPpnOMdM0zYoj+ZicnHJ600Qxgiwcq2TxnPNCbT8ykN68VJ178Y7N+lW7SyWVmMgYKuMnPX/ADiiUuXUqKctEUI45PJ3yAcfexnHX3qkLndqcOnJCdzn5mwAFHr710lzaRyxqqjCrwCe3FVZIcalZrEigbWJkxyfbPWslX1ZuqK0FnsoTbiHnHTO3ufwrJHhbTxBsAZnYbgxPI9veuo2EzAMnyjrk96k8geQzD6nJPJrJVZLZmsoRe5zNt4Us7ezJlaSZ2x828gIfb/69UIPDsJuHWaWZlXhVZsD8x7V1zQE24GWOOiqKje35B2lQDzzzjuK09vPuSqUOxDpum2WnJshRVjwMseSx+vt+lUvEnh611aDzQpScfKJVHX2PqK27K1EoEbDIU/LjjH+NT3UUocq8jADGAP61CqTUuZPUTjF+7Y8Xu7S70a6Ec2ATyCCcMK1rK5NxCCXBwRwW561p+M7aEwrNKhLhSFYdjxj+tcxo6tI5A3Ebccc+lenCoqkFI45R5J2R0GVkRTxgZHTP/66iJDqCycdvUHt2pEjMSBYxkDpkUuAQwXgk9Mjj61LY+gxhnJHQDjaf6fhQOQvIIIHUf0pwBJwBlEOeMc+lLnZyAAf9qlcBhUBlzgYH4mmLtdjhgST685oZsuF5YYGCTSAncwxlcAjPWgk2tFvdjiBmxnJUluB/s1ufaI2U5+8O5NcUzAoeTgHv/jUctxcbOZ5cKc/eNc86PMzojW5VY6q51KOxmWZZir85wevtXPXPiW8bU3laNZIj8qryRtH/wCus0jcxLMWLdWJzUZkRdyshLYwpDYx9a1p0orTczlUbehtv4jV4ykdqqndynHHHriql7rLSxGOJCN3du1ZaSKEPzA88GlcgjdnnpV+zinsRKrLuQs5Mbg/MWHLHk8V9p2P/IPtv+uS/wAhXxVJwpA6V9qWP/IPtv8Arkv8hXXROOr5lmiiitzIyPE4z4Y1Mf8ATtJ/6Ca8GhtbaRpBO7IuOSGxXvXibH/CMann/n2k/wDQTXhEa5dmK/iDXn43dHZhXZMzILeWOWfcS0CsBE7feI9Tip4y7y7UPzFuSxyAKsAq0hjIO7bndt4p6RrliVwx/ixiuZyudLGxgNgEKG9Bzj8akYDkDtnA96UN824AbscnPWkw24NnCkcgn2pXJYsUJkcsclAc9ec1YS+UvsIC47CrcMX+iDaRtOOc1myRrApZFY4HzEHNYSlzM6acUkWi5diVy/RsZxjFRaejvfSjfLyudp+6OefpRDIvlo+QOMgAdQfXFIjPE5kywJ9Mf0rM2NJgzYGMkcZzVm3iX7M6ycqCOAKs6TDHNZQzE/vGHzClujHAPVT6UmQ5a2GJsUfIMseKzGG6QF3/AIskAZ4q15wY+Witk9GGPlpPKjGBkb165PNCC9im1w9qWMLouRxuHQ5qKXUZJl89yMhTknoR61DqUkMDxvKcLu5wOB9aLXSLi9YGVl+xPyWLYLe1XbTUrRI5LxbNNfW+YUDxBeucEHjnH0rD0N40R1IAcHkEn/P4V6Rf21rCXh8mMKnQHsP6155qFjLpN2l0qjaSN+3pz0Nd2HmnH2aOSrGz5zQY44xsyQAMn8BTd7M/y/KcA4FPR8hSDwVyDnqPyppJB4bjp16VVzMkt1V4nd428vOJGUDI98VUZoxkAFSD1P8AKpzkFscAjqO46dahxgcAKMZP9aEDIjn5iS3vmncjnGD1GOv/AOulVSmCpwcDnnNMZSZAD36ZHGfr2o3JuBOT9O5NMmj5U8kHnrSht27g5UdhTpAGC7gAcAZU5zRewEDIChHaopYFC+W+4MOeeDWg/wBmW1xH/rMjgjkcc8+lQ3Fw88JR9jHI+cj5vbmnGWoWsZsMYhyOcHkc5xQzndtA4qQgRERsoGDngDP51DKy+Y2OmflJ649603dzNobKpIxtPtX2pYf8g+2/65L/ACFfE7vg5U4x0r7YsTnT7Y/9Ml/kK6KWhhVLNFFFbGRk+Jf+Ra1LOMfZpM/98mvCgyj5S4+Xrnmva/G8hh8Da5KOqWMxH/fBr5MHiGXHMnviuLE0pTaaOrDySTuekB12D5h1pQysOSDz+VebnxJMuCJCGpw8SzD/AJaNg+1c/wBXkbOpE9Iwp7jHqBS4VjgH7o59q84/4Sabd/rPrxT/APhJ35zISCOcij2E0HtFc9Ohlb7MF9OAMdap3qEKmWOe+ewzXG6f42S1DiaMyZPUHp+FdBFrFpeWiTrKJd54AYBsemPWuaVCcXsdcKkWtyxpt1HMfKJ2ujEYzzjscVfuCpdF3qiEDDetYduf9JMwJjkHJ7cVcF7a3P7qO4XzNu8Rqw3Af0qXB3ui+Y04r37KRbLN8yjJJ4yKVL1GcfaJ9gAO7LdPxrkNYv49JjW5UkHfgjIJbPpmuebxRJPcSSsQu84+7yF9K2hh5TjcxnVjF67npUmpW8M7GK4Hy4JG4ZI9afDqsU0iq5x3zz+VeZ/8JIQScjJOScU0eJXjPyEqexHFU8JLoifrET0W5lW6uHO3cg4C4I598/55rT0mWNDIDKPTAY8GvM4vHFyibcISBgMV5q1oPi3/AImQS7kGyQnBwB8x7k1EsLUsWq8Hod3qIWabI3SbnyS3OT7VzWrWaXJEEqnD8cA8D/62K6dTHLEsgfJ7EGsPW7GSW2MiztG0YLq47H1rKldTSehpOzjoclp0EoFzE0zMiOUQ56dsj0q8FIUDPQdfX8a56z1SWJCrtvAY4JHOasDVdgwoHX8q9GcZXOFTRrK24YHy88+/NHljPQAAVkjVASflGamj1NDHJvAypB+9jPPIFR7OQcyLzfLxyeKYwIbn8sVnHU+WDAA0j3zFNwj+Q9eafs2F0Xw4V+F+UjqDjFPEccke0OQ/pjA9uaoQagzHagjUkH75AB/H86rSagzu5wE9FHQUezkLmReJAyevsKeY0UKWc4Zc5Vc/hWWt/IBjdyO9TDU0eJVkErMvCndwPwp+zlcSaJbyK3mlxHvUhhtDfTn9ary286MGML7RwT6VBJd73ZhGBnqO1XrbUfNjWIl95UhmY8e1W1JIceVspSlY2PlqGVhgq3UV9rWH/IPtv+uS/wAhXxvc2/mx7l/1q9T7V9kWP/Hhb/8AXNf5CtqLujCurMs0UUVuYGV4k0yTWfDWpaZEypJd20kKs3QFlIyfzrwb/hnjXen9p6fj/ef/AOIoopNXGpNbCf8ADO+u/wDQU0/83/8AiaD+zvruONU0/wDN/wD4miilyofOxP8AhnbXiP8AkK6fn6v/APE0n/DOuv8A/QX0783/APiaKKFETmwH7O3iD/oK6b+b/wDxNOT9nnxGjhk1jT1IOQQzj/2WiinyoPaMtP8AArxY8Jh/tyy2HOf3kn/xNVI/2e/EsMyyx6xYK4PDB5Af/QaKKSgloN1JPUfc/ADxVeMDPrWnvjpueQ4/8dqv/wAM6eI/+grpn/fUn/xNFFPlSBzd7gf2dfEnbVdL/wC+pP8A4mk/4Z08S/8AQV0v/vqT/wCJooosLnYn/DOniX/oK6X/AN9Sf/E0o/Z18S/9BXS/++pP/iaKKLBzs1bD4KeNNOiEUOu6f5QO7YWcgH2+WrV18I/HFzA0J1rTArDB5f8A+JooqHSg3zNFqvNKyZgf8M7eJ+o1TSv++5P/AIij/hnfxR21TSv++5P/AIiiirsTzsP+Gd/FGc/2ppX/AH3J/wDEUv8Awzx4o/6Cmlf99yf/ABFFFFkHOw/4Z48Uj/mKaV/33J/8RSt+z14rYAHVtLIAwB5kn/xFFFFkHMxB+zx4pH/MU0r/AL7k/wDiKT/hnfxR/wBBTSv++5P/AIiiiiyDmYf8M7+KP+gppX/fcn/xFKP2ePFA/wCYnpP/AH3J/wDEUUUWQczD/hnjxQf+YnpP/fcn/wART0/Z88UxsrLqmlAr0O6T/wCIooo5UHPIf/woHxaZN51fTCf+ukn/AMRX0TbRGG2ijY5KIFOPYUUUJJbCcnLcmooopgAAAAAAAAI//9k=" + } + }, + "cell_type": "markdown", + "id": "329fd4ee-4a68-4f3b-b157-a676f13ba587", + "metadata": {}, + "source": [ + "![figure-8-1.jpg](attachment:5d505f36-17e1-4fe5-a405-f01f7a392716.jpg)" + ] + }, + { + "cell_type": "markdown", + "id": "6fde6f17-d244-4270-b759-68e1858d399f", + "metadata": {}, + "source": [ + "We can retrieve this image summary:" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "6f52ee1e-ed46-4a81-834a-3608a1cf90ce", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The image features a close-up of a tray filled with various pieces of fried chicken. The chicken pieces are arranged in a way that resembles a map of the world, with some pieces placed in the shape of continents and others as countries. The arrangement of the chicken pieces creates a visually appealing and playful representation of the world, making it an interesting and creative presentation.\\n\\nmain: image encoded in 865.20 ms by CLIP ( 1.50 ms per image patch)'" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "retriever.get_relevant_documents(\"Images / figures with playful and creative examples\")[1]" + ] + }, + { + "cell_type": "markdown", + "id": "69060724-e390-4dda-8250-5f86025c874a", + "metadata": {}, + "source": [ + "## RAG\n", + "\n", + "Run [RAG pipeline](https://python.langchain.com/docs/expression_language/cookbook/retrieval)." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "771a47fa-1267-4db8-a6ae-5fde48bbc069", + "metadata": {}, + "outputs": [], + "source": [ + "from operator import itemgetter\n", + "from langchain.schema.runnable import RunnablePassthrough\n", + "\n", + "# Prompt template\n", + "template = \"\"\"Answer the question based only on the following context, which can include text and tables:\n", + "{context}\n", + "Question: {question}\n", + "\"\"\"\n", + "prompt = ChatPromptTemplate.from_template(template)\n", + "\n", + "# LLM\n", + "model = ChatOpenAI(temperature=0,model=\"gpt-4\")\n", + "\n", + "# RAG pipeline\n", + "chain = (\n", + " {\"context\": retriever, \"question\": RunnablePassthrough()} \n", + " | prompt \n", + " | model \n", + " | StrOutputParser()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "ea8414a8-65ee-4e11-8154-029b454f46af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The performance of LLaMA across multiple image domains/subjects is as follows: In the Natural Science (NAT) subject, it scored 84.37. In the Social Science (SOC) subject, it scored 88.30. In the Language Science (LAN) subject, it scored 84.36. In the Text Context (TXT) subject, it scored 83.72. In the Image Context (IMG) subject, it scored 80.32. In the No Context (NO) subject, it scored 86.90. For grades 1-6 (G1-6), it scored 85.83 and for grades 7-12 (G7-12), it scored 84.05. The average score was 85.19.'" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "chain.invoke(\"What is the performance of LLaVa across across mutiple image domains / subjects?\")" + ] + }, + { + "cell_type": "markdown", + "id": "7ce57b80-fbd0-47f3-817f-6549a0409f51", + "metadata": {}, + "source": [ + "We can check the [trace](https://smith.langchain.com/public/85a7180e-0dd1-44d9-996f-6cb9c6f53205/r) to see retrieval of tables and text." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "e88f0bc7-81fb-4883-a021-58734a74411b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The text provides an example of a playful and creative image. The image features a close-up of a tray filled with various pieces of fried chicken. The chicken pieces are arranged in a way that resembles a map of the world, with some pieces placed in the shape of continents and others as countries. The arrangement of the chicken pieces creates a visually appealing and playful representation of the world, making it an interesting and creative presentation.'" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "chain.invoke(\"Explain images / figures with playful and creative examples.\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb b/cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb new file mode 100644 index 0000000000..5fbacce769 --- /dev/null +++ b/cookbook/Semi_structured_multi_modal_RAG_LLaMA2.ipynb @@ -0,0 +1,559 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "812a4dbc-fe04-4b84-bdf9-390045e30806", + "metadata": {}, + "source": [ + "# Use Case\n", + "\n", + "Many documents contain a mixture of content types: \n", + "\n", + "* `Semi-structured data`: text and tables\n", + "* `Image`: images contain valuable information \n", + "\n", + "Here, we show how `Unstructured` can be used to partition all 3 types from documents. \n", + "\n", + "We generate summaries of each content type, using an open source multi-modal model (LLaVA) for image summaries.\n", + "\n", + "We embed summaries and store them w/ the raw table and text chunks. \n", + "\n", + "For images, we embed and store the summaries only; future work could store the images for final answer generation." + ] + }, + { + "attachments": { + "28d8b949-8001-4b94-be3f-a64995390935.png": { + "image/png": "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" + } + }, + "cell_type": "markdown", + "id": "7ea70aa4-9a53-4e17-8f11-1d14a0ac9b43", + "metadata": {}, + "source": [ + "![img_flow.png](attachment:28d8b949-8001-4b94-be3f-a64995390935.png)" + ] + }, + { + "cell_type": "markdown", + "id": "74b56bde-1ba0-4525-a11d-cab02c5659e4", + "metadata": {}, + "source": [ + "## Data Loading\n", + "\n", + "### Partition PDF tables, text, and images\n", + " \n", + "* `LLaVA` Paper: https://arxiv.org/pdf/2304.08485.pdf\n", + "* Use `Unstructured` to partition elements" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "4aa9055d-1243-4b5a-aca0-2c6f8fb34143", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Some weights of the model checkpoint at microsoft/table-transformer-structure-recognition were not used when initializing TableTransformerForObjectDetection: ['model.backbone.conv_encoder.model.layer3.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer2.0.downsample.1.num_batches_tracked', 'model.backbone.conv_encoder.model.layer4.0.downsample.1.num_batches_tracked']\n", + "- This IS expected if you are initializing TableTransformerForObjectDetection from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "- This IS NOT expected if you are initializing TableTransformerForObjectDetection from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from lxml import html\n", + "from pydantic import BaseModel\n", + "from typing import Any, Optional\n", + "from unstructured.partition.pdf import partition_pdf\n", + "\n", + "# Path to save images\n", + "path = \"/Users/rlm/Desktop/Papers/LLaVA/\"\n", + "\n", + "# Get elements\n", + "raw_pdf_elements = partition_pdf(filename=path+\"LLaVA.pdf\",\n", + " # Using pdf format to find embedded image blocks\n", + " extract_images_in_pdf=True,\n", + " # Use layout model (YOLO-X) to get bounding boxes (for tables) and find titles\n", + " # Titles are any sub-section of the document \n", + " infer_table_structure=True, \n", + " # Post processing to aggregate text once we have the title \n", + " chunking_strategy=\"by_title\",\n", + " # Chunking params to aggregate text blocks\n", + " # Attempt to create a new chunk 3800 chars\n", + " # Attempt to keep chunks > 2000 chars \n", + " # Hard max on chunks\n", + " max_characters=4000, \n", + " new_after_n_chars=3800, \n", + " combine_text_under_n_chars=2000,\n", + " image_output_dir_path=path)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "7cdba921-5419-4471-b234-d93af3859b6f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{\"\": 31,\n", + " \"\": 3}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Create a dictionary to store counts of each type\n", + "category_counts = {}\n", + "\n", + "for element in raw_pdf_elements:\n", + " category = str(type(element))\n", + " if category in category_counts:\n", + " category_counts[category] += 1\n", + " else:\n", + " category_counts[category] = 1\n", + "\n", + "# Unique_categories will have unique elements\n", + "# TableChunk if Table > max chars set above\n", + "unique_categories = set(category_counts.keys())\n", + "category_counts" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5f660305-e165-4b6c-ada3-a67a422defb5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3\n", + "31\n" + ] + } + ], + "source": [ + "class Element(BaseModel):\n", + " type: str\n", + " text: Any\n", + "\n", + "# Categorize by type\n", + "categorized_elements = []\n", + "for element in raw_pdf_elements:\n", + " if \"unstructured.documents.elements.Table\" in str(type(element)):\n", + " categorized_elements.append(Element(type=\"table\", text=str(element)))\n", + " elif \"unstructured.documents.elements.CompositeElement\" in str(type(element)):\n", + " categorized_elements.append(Element(type=\"text\", text=str(element)))\n", + "\n", + "# Tables\n", + "table_elements = [e for e in categorized_elements if e.type == \"table\"]\n", + "print(len(table_elements))\n", + "\n", + "# Text\n", + "text_elements = [e for e in categorized_elements if e.type == \"text\"]\n", + "print(len(text_elements))" + ] + }, + { + "cell_type": "markdown", + "id": "0aa7f52f-bf5c-4ba4-af72-b2ccba59a4cf", + "metadata": {}, + "source": [ + "## Multi-vector retriever\n", + "\n", + "Use [multi-vector-retriever](https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector#summary).\n", + "\n", + "### Text and Table summaries" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "523e6ed2-2132-4748-bdb7-db765f20648d", + "metadata": {}, + "outputs": [], + "source": [ + "from langchain.chat_models import ChatOllama\n", + "from langchain.prompts import ChatPromptTemplate\n", + "from langchain.schema.output_parser import StrOutputParser" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "22c22e3f-42fb-4a4a-a87a-89f10ba8ab99", + "metadata": {}, + "outputs": [], + "source": [ + "# Prompt \n", + "prompt_text=\"\"\"You are an assistant tasked with summarizing tables and text. \\ \n", + "Give a concise summary of the table or text. Table or text chunk: {element} \"\"\"\n", + "prompt = ChatPromptTemplate.from_template(prompt_text) \n", + "\n", + "# Summary chain \n", + "model = ChatOllama(model=\"llama2:13b-chat\")\n", + "summarize_chain = {\"element\": lambda x:x} | prompt | model | StrOutputParser()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "0e1ba7ba-d209-424a-8f05-6a95d6d32bb2", + "metadata": {}, + "outputs": [], + "source": [ + "# Apply to text\n", + "texts = [i.text for i in text_elements if i.text != \"\"]\n", + "text_summaries = summarize_chain.batch(texts, {\"max_concurrency\": 5})" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a419123a-6038-4264-9ee0-bfb2a2df7153", + "metadata": {}, + "outputs": [], + "source": [ + "# Apply to tables\n", + "tables = [i.text for i in table_elements]\n", + "table_summaries = summarize_chain.batch(tables, {\"max_concurrency\": 5})" + ] + }, + { + "cell_type": "markdown", + "id": "d52641eb-762e-4460-80c7-3ac3ddd93621", + "metadata": {}, + "source": [ + "### Image summaries \n", + "\n", + "Use [llama.cpp](https://github.com/ggerganov/llama.cpp/pull/3436): \n", + "\n", + "* Download `mmproj-model-f16.gguf` and one of `ggml-model-[f16|q5_k|q4_k].gguf` from [LLaVA 7b repo](https://huggingface.co/mys/ggml_llava-v1.5-7b/tree/main)\n", + "* Clone `llama.cpp` repo\n", + "* Build\n", + "```\n", + "mkdir build && cd build && cmake ..\n", + "cmake --build .\n", + "```\n", + "\n", + "For [better performance](https://github.com/ggerganov/llama.cpp/issues/3602):\n", + "\n", + "* It appears `7b` is currently better than `13b` in the above LLaVA repo.\n", + "* Use `--temp 0.1`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "646a6874-008e-46aa-809d-1d59df36858b", + "metadata": {}, + "outputs": [], + "source": [ + "%%bash\n", + "\n", + "# Define the directory containing the images\n", + "IMG_DIR=~/Desktop/Papers/LLaVA/\n", + "\n", + "# Loop through each image in the directory\n", + "for img in \"${IMG_DIR}\"*.jpg; do\n", + " # Extract the base name of the image without extension\n", + " base_name=$(basename \"$img\" .jpg)\n", + "\n", + " # Define the output file name based on the image name\n", + " output_file=\"${IMG_DIR}${base_name}.txt\"\n", + "\n", + " # Execute the command and save the output to the defined output file\n", + " /Users/rlm/Desktop/Code/llama.cpp/bin/llava -m ../models/llava-7b/ggml-model-q5_k.gguf --mmproj ../models/llava-7b/mmproj-model-f16.gguf --temp 0.1 -p \"Describe the image in detail. Be specific about graphs, such as bar plots.\" --image \"$img\" > \"$output_file\"\n", + "\n", + "done" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "da8a8c94-3df7-446f-9a69-703295f50f02", + "metadata": {}, + "outputs": [], + "source": [ + "import os, glob\n", + "\n", + "# Get all .txt files in the directory\n", + "file_paths = glob.glob(os.path.expanduser(os.path.join(path, \"*.txt\")))\n", + "\n", + "# Read each file and store its content in a list\n", + "img_summaries = []\n", + "for file_path in file_paths:\n", + " with open(file_path, 'r') as file:\n", + " img_summaries.append(file.read())\n", + "\n", + "cleaned_img_summary = [s.split(\"clip_model_load: total allocated memory: 201.27 MB\\n\\n\", 1)[1].strip() for s in img_summaries]" + ] + }, + { + "cell_type": "markdown", + "id": "67b030d4-2ac5-41b6-9245-fc3ba5771d87", + "metadata": {}, + "source": [ + "### Add to vectorstore\n", + "\n", + "Use [Multi Vector Retriever](https://python.langchain.com/docs/modules/data_connection/retrievers/multi_vector#summary) with summaries." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "64a5df0c-8193-407e-a83f-8fc17caff3e4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Found model file at /Users/rlm/.cache/gpt4all/ggml-all-MiniLM-L6-v2-f16.bin\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "objc[42078]: Class GGMLMetalClass is implemented in both /Users/rlm/miniforge3/envs/llama2/lib/python3.9/site-packages/gpt4all/llmodel_DO_NOT_MODIFY/build/libreplit-mainline-metal.dylib (0x31f870208) and /Users/rlm/miniforge3/envs/llama2/lib/python3.9/site-packages/gpt4all/llmodel_DO_NOT_MODIFY/build/libllamamodel-mainline-metal.dylib (0x31fc9c208). One of the two will be used. Which one is undefined.\n" + ] + } + ], + "source": [ + "import uuid\n", + "from langchain.vectorstores import Chroma\n", + "from langchain.storage import InMemoryStore\n", + "from langchain.schema.document import Document\n", + "from langchain.embeddings import GPT4AllEmbeddings\n", + "from langchain.retrievers.multi_vector import MultiVectorRetriever\n", + "\n", + "# The vectorstore to use to index the child chunks\n", + "vectorstore = Chroma(\n", + " collection_name=\"summaries\",\n", + " embedding_function=GPT4AllEmbeddings()\n", + ")\n", + "\n", + "# The storage layer for the parent documents\n", + "store = InMemoryStore()\n", + "id_key = \"doc_id\"\n", + "\n", + "# The retriever (empty to start)\n", + "retriever = MultiVectorRetriever(\n", + " vectorstore=vectorstore, \n", + " docstore=store, \n", + " id_key=id_key,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "d643cc61-827d-4f3c-8242-7a7c8291ed8a", + "metadata": {}, + "outputs": [], + "source": [ + "# Add texts\n", + "doc_ids = [str(uuid.uuid4()) for _ in texts]\n", + "summary_texts = [Document(page_content=s,metadata={id_key: doc_ids[i]}) for i, s in enumerate(text_summaries)]\n", + "retriever.vectorstore.add_documents(summary_texts)\n", + "retriever.docstore.mset(list(zip(doc_ids, texts)))\n", + "\n", + "# Add tables\n", + "table_ids = [str(uuid.uuid4()) for _ in tables]\n", + "summary_tables = [Document(page_content=s,metadata={id_key: table_ids[i]}) for i, s in enumerate(table_summaries)]\n", + "retriever.vectorstore.add_documents(summary_tables)\n", + "retriever.docstore.mset(list(zip(table_ids, tables)))\n", + "\n", + "# Add images\n", + "img_ids = [str(uuid.uuid4()) for _ in cleaned_img_summary]\n", + "summary_img = [Document(page_content=s,metadata={id_key: img_ids[i]}) for i, s in enumerate(cleaned_img_summary)]\n", + "retriever.vectorstore.add_documents(summary_img)\n", + "retriever.docstore.mset(list(zip(img_ids, cleaned_img_summary))) # Store the image summary as the raw document" + ] + }, + { + "cell_type": "markdown", + "id": "4b45fb81-46b1-426e-aa2c-01aed4eac700", + "metadata": {}, + "source": [ + "### Sanity Check" + ] + }, + { + "cell_type": "markdown", + "id": "3dbb23d5-ae66-444d-8f5f-b24107fb9c57", + "metadata": {}, + "source": [ + "Image:" + ] + }, + { + "attachments": { + "227da97f-e1ae-4252-b577-03a873a321e9.jpg": { + "image/jpeg": "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" + } + }, + "cell_type": "markdown", + "id": "329fd4ee-4a68-4f3b-b157-a676f13ba587", + "metadata": {}, + "source": [ + "![figure-8-1.jpg](attachment:227da97f-e1ae-4252-b577-03a873a321e9.jpg)" + ] + }, + { + "cell_type": "markdown", + "id": "6fde6f17-d244-4270-b759-68e1858d399f", + "metadata": {}, + "source": [ + "We can retrieve this image summary:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "6f52ee1e-ed46-4a81-834a-3608a1cf90ce", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'The image features a close-up of a tray filled with various pieces of fried chicken. The chicken pieces are arranged in a way that resembles a map of the world, with some pieces placed in the shape of continents and others as countries. The arrangement of the chicken pieces creates a visually appealing and playful representation of the world, making it an interesting and creative presentation.\\n\\nmain: image encoded in 865.20 ms by CLIP ( 1.50 ms per image patch)'" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "retriever.get_relevant_documents(\"Images / figures with playful and creative examples\")[0]" + ] + }, + { + "cell_type": "markdown", + "id": "69060724-e390-4dda-8250-5f86025c874a", + "metadata": {}, + "source": [ + "## RAG\n", + "\n", + "Run [RAG pipeline](https://python.langchain.com/docs/expression_language/cookbook/retrieval)." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "771a47fa-1267-4db8-a6ae-5fde48bbc069", + "metadata": {}, + "outputs": [], + "source": [ + "from operator import itemgetter\n", + "from langchain.schema.runnable import RunnablePassthrough\n", + "\n", + "# Prompt template\n", + "template = \"\"\"Answer the question based only on the following context, which can include text and tables:\n", + "{context}\n", + "Question: {question}\n", + "\"\"\"\n", + "prompt = ChatPromptTemplate.from_template(template)\n", + "\n", + "# RAG pipeline\n", + "chain = (\n", + " {\"context\": retriever, \"question\": RunnablePassthrough()} \n", + " | prompt \n", + " | model \n", + " | StrOutputParser()\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "ea8414a8-65ee-4e11-8154-029b454f46af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\" Based on the provided context, LLaVA's performance across multiple image domains/subjects is not explicitly mentioned. However, we can infer some information about its performance based on the given text:\\n\\n1. LLaVA achieves an accuracy of 90.92% on the ScienceQA dataset, which is close to the current SoTA (91.68%).\\n2. When prompted with a 2-shot in-context learning task using GPT-4, it achieves an accuracy of 82.69%, indicating a 7.52% absolute gain compared to GPT-3.5.\\n3. For a substantial number of questions, GPT-4 fails due to insufficient context such as images or plots.\\n\\nBased on these points, we can infer that LLaVA performs well across multiple image domains/subjects, but its performance may be limited by the quality and availability of the input images. Additionally, its ability to recognize visual content and provide detailed responses is dependent on the specific task and dataset being used.\"" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "chain.invoke(\"What is the performance of LLaVa across across mutiple image domains / subjects?\")" + ] + }, + { + "cell_type": "markdown", + "id": "1b7aeb57-2ab8-496c-b909-0734ccc5da5f", + "metadata": {}, + "source": [ + "We can check the [trace](https://smith.langchain.com/public/ab90fb1c-5949-4fc6-a002-56a6056adc6b/r) to review retrieval." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "1ad375c5-8aef-4be3-9a12-8ad953fa2d14", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "' Sure, I\\'d be happy to help! Based on the provided context, here are some playful and creative explanations for the images/figures mentioned in the paper:\\n\\n1. \"The image features a close-up of a tray filled with various pieces of fried chicken. The chicken pieces are arranged in a way that resembles a map of the world, with some pieces placed in the shape of continents and others as countries.\"\\n\\nPlayful explanation: \"Look, ma! The fried chicken is mapping out the world one piece at a time! Who needs Google Maps when you have crispy chicken wings to guide the way?\"\\n\\nCreative explanation: \"The arrangement of the fried chicken pieces creates a visual representation of the world that\\'s both appetizing and adventurous. It\\'s like a culinary globe-trotting experience!\"\\n\\n2. \"The image is a screenshot of a conversation between two people, likely discussing a painting.\"\\n\\nPlayful explanation: \"The painting is getting a double take - these two people are having a chat about it and we get to eavesdrop on their art-loving banter!\"\\n\\nCreative explanation: \"This image captures the dynamic exchange of ideas between two art enthusiasts. It\\'s like we\\'re peeking into their creative brainstorming session, where the painting is the catalyst for a lively discussion.\"\\n\\n3. \"The image features a text-based representation of a scene with a person holding onto a rope, possibly a woman, and a boat in the background.\"\\n\\nPlayful explanation: \"This image looks like a page from a choose-your-own-adventure book! Is our brave protagonist about to embark on a thrilling boat ride or hold tight for a wild journey?\"\\n\\nCreative explanation: \"The text-based representation of the scene creates an intriguing narrative that invites the viewer to fill in the blanks. It\\'s like we\\'re reading a visual storybook, where the person holding onto the rope is the hero of their own adventure.\"\\n\\n4. \"Figure 5: LLaVA recognizes the famous art work, Mona Lisa, by Leonardo da Vinci.\"\\n\\nPlayful explanation: \"Mona Lisa is getting a digital spotlight - look at her smile now that she\\'s part of this cool image recognition tech!\"\\n\\nCreative explanation: \"This playful recognition of the Mona Lisa painting highlights the advanced technology used in image analysis. It\\'s like LLaVA is giving the famous artwork a modern makeover, showcasing its timeless beauty and relevance in the digital age.\"\\n\\nOverall, these images/figures offer unique opportunities for creative and playful explanations that can capture the viewer\\'s attention while highlighting the technology and narratives presented in the paper.'" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "chain.invoke(\"Explain any images / figures in the paper with playful and creative examples.\")" + ] + }, + { + "cell_type": "markdown", + "id": "1da79644-4046-45b0-8c25-01aa73587b22", + "metadata": {}, + "source": [ + "We can check the [trace](https://smith.langchain.com/public/c6d3b7d5-0f40-4905-ab8f-3a2b77c39af4/r) to review retrieval." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}