mirror of
https://github.com/hwchase17/langchain.git
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Textract linearizer (#12446)
**Description:** Textract PDF Loader generating linearized output, meaning it will replicate the structure of the source document as close as possible based on the features passed into the call (e. g. LAYOUT, FORMS, TABLES). With LAYOUT reading order for multi-column documents or identification of lists and figures is supported and with TABLES it will generate the table structure as well. FORMS will indicate "key: value" with columms. - **Issue:** the issue fixes #12068 - **Dependencies:** amazon-textract-textractor is added, which provides the linearization - **Tag maintainer:** @3coins --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
This commit is contained in:
Martin Schade
GitHub
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"id": "c049beaf-f904-4ce6-91ca-805da62084c2",
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"metadata": {
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"tags": []
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"\u001b[33mDEPRECATION: amazon-textract-pipeline-pagedimensions 0.0.8 has a non-standard dependency specifier Pillow>=9.4.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of amazon-textract-pipeline-pagedimensions or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063\u001b[0m\u001b[33m\n",
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"\u001b[0m\u001b[33mDEPRECATION: amazon-textract-pipeline-pagedimensions 0.0.8 has a non-standard dependency specifier pypdf>=2.5.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of amazon-textract-pipeline-pagedimensions or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063\u001b[0m\u001b[33m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython -m pip install --upgrade pip\u001b[0m\n",
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"Collecting amazon-textract-caller<0.1.0,>=0.0.27 (from amazon-textract-textractor<2->langchain==0.0.267)\n",
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"Downloading dataclasses_json-0.5.14-py3-none-any.whl (26 kB)\n",
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"Building wheels for collected packages: langchain\n",
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" Building editable for langchain (pyproject.toml) ... \u001b[?25ldone\n",
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"\u001b[?25h Created wheel for langchain: filename=langchain-0.0.267-py3-none-any.whl size=5553 sha256=daaf68d6658b27d69a4a092aa0a39e31f32b96868ef195102d2a17cf119f9d86\n",
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" Stored in directory: /private/var/folders/s4/y_t_mj094c95t80n023c9wym0000gr/T/pip-ephem-wheel-cache-v1ynlirx/wheels/9f/73/28/b1d250633de6bd5759f959e16889c6c841dd0e0ffb6474185a\n",
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"Successfully built langchain\n",
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"\u001b[33mDEPRECATION: amazon-textract-pipeline-pagedimensions 0.0.8 has a non-standard dependency specifier Pillow>=9.4.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of amazon-textract-pipeline-pagedimensions or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063\u001b[0m\u001b[33m\n",
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"\u001b[0m\u001b[33mDEPRECATION: amazon-textract-pipeline-pagedimensions 0.0.8 has a non-standard dependency specifier pypdf>=2.5.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of amazon-textract-pipeline-pagedimensions or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063\u001b[0m\u001b[33m\n",
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"\u001b[0mInstalling collected packages: dataclasses-json, amazon-textract-caller, langchain\n",
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" Attempting uninstall: dataclasses-json\n",
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" Found existing installation: dataclasses-json 0.6.1\n",
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" Uninstalling dataclasses-json-0.6.1:\n",
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" Successfully uninstalled dataclasses-json-0.6.1\n",
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" Found existing installation: langchain 0.0.319\n",
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" Uninstalling langchain-0.0.319:\n",
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" Successfully uninstalled langchain-0.0.319\n",
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"Successfully installed amazon-textract-caller-0.0.29 dataclasses-json-0.5.14 langchain-0.0.267\n",
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"\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.2.1\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3\u001b[0m\n",
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"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython -m pip install --upgrade pip\u001b[0m\n"
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]
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}
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],
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"source": [
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"!pip install langchain boto3 openai tiktoken python-dotenv -q"
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"# !pip install langchain boto3 openai tiktoken python-dotenv -q\n",
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"!pip install boto3 openai tiktoken python-dotenv -q\n",
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"!pip install -e /Users/schadem/code/github/schadem/langchain/libs/langchain"
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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": "e4305a0d-37da-41f9-a52c-7d166d7dbabf",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Collecting amazon-textract-caller>=0.2.0\n",
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" Obtaining dependency information for amazon-textract-caller>=0.2.0 from https://files.pythonhosted.org/packages/35/42/17daacf400060ee1f768553980b7bd6bb77d5b80bcb8a82d8a9665e5bb9b/amazon_textract_caller-0.2.0-py2.py3-none-any.whl.metadata\n",
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" Using cached amazon_textract_caller-0.2.0-py2.py3-none-any.whl.metadata (7.1 kB)\n",
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"Using cached amazon_textract_caller-0.2.0-py2.py3-none-any.whl (13 kB)\n",
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"\u001b[33mDEPRECATION: amazon-textract-pipeline-pagedimensions 0.0.8 has a non-standard dependency specifier Pillow>=9.4.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of amazon-textract-pipeline-pagedimensions or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063\u001b[0m\u001b[33m\n",
|
||||
"\u001b[0m\u001b[33mDEPRECATION: amazon-textract-pipeline-pagedimensions 0.0.8 has a non-standard dependency specifier pypdf>=2.5.*. pip 23.3 will enforce this behaviour change. A possible replacement is to upgrade to a newer version of amazon-textract-pipeline-pagedimensions or contact the author to suggest that they release a version with a conforming dependency specifiers. Discussion can be found at https://github.com/pypa/pip/issues/12063\u001b[0m\u001b[33m\n",
|
||||
"\u001b[0mInstalling collected packages: amazon-textract-caller\n",
|
||||
" Attempting uninstall: amazon-textract-caller\n",
|
||||
" Found existing installation: amazon-textract-caller 0.0.29\n",
|
||||
" Uninstalling amazon-textract-caller-0.0.29:\n",
|
||||
" Successfully uninstalled amazon-textract-caller-0.0.29\n",
|
||||
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
|
||||
"amazon-textract-textractor 1.4.1 requires amazon-textract-caller<0.1.0,>=0.0.27, but you have amazon-textract-caller 0.2.0 which is incompatible.\u001b[0m\u001b[31m\n",
|
||||
"\u001b[0mSuccessfully installed amazon-textract-caller-0.2.0\n",
|
||||
"\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3\u001b[0m\n",
|
||||
"\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpython -m pip install --upgrade pip\u001b[0m\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"!pip install \"amazon-textract-caller>=0.2.0\""
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -53,12 +174,27 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"execution_count": 6,
|
||||
"id": "1becee92-e82f-42d4-9b4e-b23d77cbe88d",
|
||||
"metadata": {
|
||||
"tags": []
|
||||
},
|
||||
"outputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "ImportError",
|
||||
"evalue": "cannot import name 'DocumentIntelligenceParser' from 'langchain.document_loaders.parsers.pdf' (/Users/schadem/code/github/schadem/langchain/libs/langchain/langchain/document_loaders/parsers/pdf.py)",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mImportError\u001b[0m Traceback (most recent call last)",
|
||||
"Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m AmazonTextractPDFLoader\n\u001b[1;32m 2\u001b[0m loader \u001b[38;5;241m=\u001b[39m AmazonTextractPDFLoader(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mexample_data/alejandro_rosalez_sample-small.jpeg\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 3\u001b[0m documents \u001b[38;5;241m=\u001b[39m loader\u001b[38;5;241m.\u001b[39mload()\n",
|
||||
"File \u001b[0;32m~/code/github/schadem/langchain/libs/langchain/langchain/document_loaders/__init__.py:46\u001b[0m\n\u001b[1;32m 44\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbigquery\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m BigQueryLoader\n\u001b[1;32m 45\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbilibili\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m BiliBiliLoader\n\u001b[0;32m---> 46\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mblackboard\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m BlackboardLoader\n\u001b[1;32m 47\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mblob_loaders\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (\n\u001b[1;32m 48\u001b[0m Blob,\n\u001b[1;32m 49\u001b[0m BlobLoader,\n\u001b[1;32m 50\u001b[0m FileSystemBlobLoader,\n\u001b[1;32m 51\u001b[0m YoutubeAudioLoader,\n\u001b[1;32m 52\u001b[0m )\n\u001b[1;32m 53\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mblockchain\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m BlockchainDocumentLoader\n",
|
||||
"File \u001b[0;32m~/code/github/schadem/langchain/libs/langchain/langchain/document_loaders/blackboard.py:9\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocstore\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Document\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdirectory\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m DirectoryLoader\n\u001b[0;32m----> 9\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpdf\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m PyPDFLoader\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mweb_base\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m WebBaseLoader\n\u001b[1;32m 13\u001b[0m \u001b[38;5;28;01mclass\u001b[39;00m \u001b[38;5;21;01mBlackboardLoader\u001b[39;00m(WebBaseLoader):\n",
|
||||
"File \u001b[0;32m~/code/github/schadem/langchain/libs/langchain/langchain/document_loaders/pdf.py:17\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbase\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m BaseLoader\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mblob_loaders\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Blob\n\u001b[0;32m---> 17\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mparsers\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpdf\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m (\n\u001b[1;32m 18\u001b[0m AmazonTextractPDFParser,\n\u001b[1;32m 19\u001b[0m DocumentIntelligenceParser,\n\u001b[1;32m 20\u001b[0m PDFMinerParser,\n\u001b[1;32m 21\u001b[0m PDFPlumberParser,\n\u001b[1;32m 22\u001b[0m PyMuPDFParser,\n\u001b[1;32m 23\u001b[0m PyPDFium2Parser,\n\u001b[1;32m 24\u001b[0m PyPDFParser,\n\u001b[1;32m 25\u001b[0m )\n\u001b[1;32m 26\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdocument_loaders\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01munstructured\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m UnstructuredFileLoader\n\u001b[1;32m 27\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mlangchain\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mutils\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m get_from_dict_or_env\n",
|
||||
"\u001b[0;31mImportError\u001b[0m: cannot import name 'DocumentIntelligenceParser' from 'langchain.document_loaders.parsers.pdf' (/Users/schadem/code/github/schadem/langchain/libs/langchain/langchain/document_loaders/parsers/pdf.py)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"from langchain.document_loaders import AmazonTextractPDFLoader\n",
|
||||
"\n",
|
||||
@@ -876,7 +1012,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.1"
|
||||
"version": "3.11.6"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
Reference in New Issue
Block a user