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add everyting for docs
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docs/extras/integrations/document_loaders/email.ipynb
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297
docs/extras/integrations/document_loaders/email.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "9fdbd55d",
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"metadata": {},
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"source": [
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"# Email\n",
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"\n",
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"This notebook shows how to load email (`.eml`) or `Microsoft Outlook` (`.msg`) files."
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]
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},
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{
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"cell_type": "markdown",
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"id": "89caa348",
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"metadata": {},
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"source": [
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"## Using Unstructured"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "226e50aa-407d-43d9-a81d-f6706298b10c",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"#!pip install unstructured"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "40cd9806",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"from langchain.document_loaders import UnstructuredEmailLoader"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "2d20b852",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"loader = UnstructuredEmailLoader(\"example_data/fake-email.eml\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "579fa702",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"data = loader.load()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "90c1d899",
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"metadata": {
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"tags": []
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[Document(page_content='This is a test email to use for unit tests.\\n\\nImportant points:\\n\\nRoses are red\\n\\nViolets are blue', metadata={'source': 'example_data/fake-email.eml'})]"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"data"
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]
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},
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{
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"cell_type": "markdown",
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"id": "8bf50cba",
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"metadata": {},
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"source": [
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"### Retain Elements\n",
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"\n",
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"Under the hood, Unstructured creates different \"elements\" for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying `mode=\"elements\"`."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "b9592eaf",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = UnstructuredEmailLoader(\"example_data/fake-email.eml\", mode=\"elements\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "0b16d03f",
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"metadata": {},
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"outputs": [],
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"source": [
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"data = loader.load()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "d7bdc5e5",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Document(page_content='This is a test email to use for unit tests.', metadata={'source': 'example_data/fake-email.eml', 'filename': 'fake-email.eml', 'file_directory': 'example_data', 'date': '2022-12-16T17:04:16-05:00', 'filetype': 'message/rfc822', 'sent_from': ['Matthew Robinson <mrobinson@unstructured.io>'], 'sent_to': ['Matthew Robinson <mrobinson@unstructured.io>'], 'subject': 'Test Email', 'category': 'NarrativeText'})"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"data[0]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "5021f20a",
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"metadata": {},
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"source": [
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"### Processing Attachments\n",
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"\n",
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"You can process attachments with `UnstructuredEmailLoader` by setting `process_attachments=True` in the constructor. By default, attachments will be partitioned using the `partition` function from `unstructured`. You can use a different partitioning function by passing the function to the `attachment_partitioner` kwarg."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "6539f166",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = UnstructuredEmailLoader(\n",
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" \"example_data/fake-email.eml\",\n",
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" mode=\"elements\",\n",
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" process_attachments=True,\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "aebead38",
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"metadata": {},
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"outputs": [],
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"source": [
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"data = loader.load()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "ddeb60f4",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Document(page_content='This is a test email to use for unit tests.', metadata={'source': 'example_data/fake-email.eml', 'filename': 'fake-email.eml', 'file_directory': 'example_data', 'date': '2022-12-16T17:04:16-05:00', 'filetype': 'message/rfc822', 'sent_from': ['Matthew Robinson <mrobinson@unstructured.io>'], 'sent_to': ['Matthew Robinson <mrobinson@unstructured.io>'], 'subject': 'Test Email', 'category': 'NarrativeText'})"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"data[0]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6a074515",
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"metadata": {},
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"source": [
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"## Using OutlookMessageLoader"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "058e670e-9964-44ee-b888-44f23ffb9310",
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"metadata": {},
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"outputs": [],
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"source": [
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"#!pip install extract_msg"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "1e7a8444",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.document_loaders import OutlookMessageLoader"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "77a055e6",
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"metadata": {},
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"outputs": [],
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"source": [
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"loader = OutlookMessageLoader(\"example_data/fake-email.msg\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "789882de",
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"metadata": {},
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"outputs": [],
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"source": [
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"data = loader.load()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "46aa0632",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Document(page_content='This is a test email to experiment with the MS Outlook MSG Extractor\\r\\n\\r\\n\\r\\n-- \\r\\n\\r\\n\\r\\nKind regards\\r\\n\\r\\n\\r\\n\\r\\n\\r\\nBrian Zhou\\r\\n\\r\\n', metadata={'subject': 'Test for TIF files', 'sender': 'Brian Zhou <brizhou@gmail.com>', 'date': 'Mon, 18 Nov 2013 16:26:24 +0800'})"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"data[0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2b223ce2",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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