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Merge branch 'feat/local-embed-model' of https://github.com/Unstructu…
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…red-IO/unstructured into feat/local-embed-model
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Mallori Harrell authored and Mallori Harrell committed Oct 3, 2023
2 parents d6eea67 + 9a193bd commit df98f3d
Showing 1 changed file with 10 additions and 10 deletions.
20 changes: 10 additions & 10 deletions docs/source/api.rst
Original file line number Diff line number Diff line change
Expand Up @@ -108,7 +108,7 @@ When elements are extracted from PDFs or images, it may be useful to get their b
file_path = "/Path/To/File"
file_data = {'files': open(file_path, 'rb')}
response = requests.post(url, headers=headers, files=files, data=data)
response = requests.post(url, headers=headers, files=file_data, data=data)
file_data['files'].close()
Expand Down Expand Up @@ -155,7 +155,7 @@ You can specify the encoding to use to decode the text input. If no value is pro
file_path = "/Path/To/File"
file_data = {'files': open(file_path, 'rb')}
response = requests.post(url, headers=headers, files=files, data=data)
response = requests.post(url, headers=headers, files=file_data, data=data)
file_data['files'].close()
Expand Down Expand Up @@ -204,7 +204,7 @@ You can also specify what languages to use for OCR with the ``ocr_languages`` kw
file_path = "/Path/To/File"
file_data = {'files': open(file_path, 'rb')}
response = requests.post(url, headers=headers, files=files, data=data)
response = requests.post(url, headers=headers, files=file_data, data=data)
file_data['files'].close()
Expand Down Expand Up @@ -250,7 +250,7 @@ By default the result will be in ``json``, but it can be set to ``text/csv`` to
file_path = "/Path/To/File"
file_data = {'files': open(file_path, 'rb')}
response = requests.post(url, headers=headers, files=files, data=data)
response = requests.post(url, headers=headers, files=file_data, data=data)
file_data['files'].close()
Expand Down Expand Up @@ -296,7 +296,7 @@ Pass the `include_page_breaks` parameter to `true` to include `PageBreak` elemen
file_path = "/Path/To/File"
file_data = {'files': open(file_path, 'rb')}
response = requests.post(url, headers=headers, files=files, data=data)
response = requests.post(url, headers=headers, files=file_data, data=data)
file_data['files'].close()
Expand Down Expand Up @@ -345,7 +345,7 @@ On the other hand, ``hi_res`` is the better choice for PDFs that may have text w
file_path = "/Path/To/File"
file_data = {'files': open(file_path, 'rb')}
response = requests.post(url, headers=headers, files=files, data=data)
response = requests.post(url, headers=headers, files=file_data, data=data)
file_data['files'].close()
Expand Down Expand Up @@ -398,7 +398,7 @@ To use the ``hi_res`` strategy with **Chipper** model, pass the argument for ``h
file_path = "/Path/To/File"
file_data = {'files': open(file_path, 'rb')}
response = requests.post(url, headers=headers, files=files, data=data)
response = requests.post(url, headers=headers, files=file_data, data=data)
file_data['files'].close()
Expand Down Expand Up @@ -451,7 +451,7 @@ To extract the table structure from PDF files using the ``hi_res`` strategy, ens
file_path = "/Path/To/File"
file_data = {'files': open(file_path, 'rb')}
response = requests.post(url, headers=headers, files=files, data=data)
response = requests.post(url, headers=headers, files=file_data, data=data)
file_data['files'].close()
Expand Down Expand Up @@ -499,7 +499,7 @@ We also provide support for enabling and disabling table extraction for file typ
file_path = "/Path/To/File"
file_data = {'files': open(file_path, 'rb')}
response = requests.post(url, headers=headers, files=files, data=data)
response = requests.post(url, headers=headers, files=file_data, data=data)
file_data['files'].close()
Expand Down Expand Up @@ -545,7 +545,7 @@ When processing XML documents, set the ``xml_keep_tags`` parameter to ``true`` t
file_path = "/Path/To/File"
file_data = {'files': open(file_path, 'rb')}
response = requests.post(url, headers=headers, files=files, data=data)
response = requests.post(url, headers=headers, files=file_data, data=data)
file_data['files'].close()
Expand Down

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