bump version and release (#4070)

Add OCR_AGENT_CACHE_SIZE environment variable (#4066)
## Problem
OCR agents used unlimited caching, causing excessive memory usage. Each
cached OCR agent consumes different amounts of memory, but can easily
consume ~800MB.
## Solution
Add `OCR_AGENT_CACHE_SIZE` environment variable to limit cached OCR
agents per process.
- **Default**: 1 cached agent
- **Configurable**: Set to 0 to disable caching, or higher for more
languages

feat: keep input tag's class attr in table (#4064)
This change affects partition html.
Previously when there is a table in the html, we clean any tags inside
the table of their class and id attributes except for the class
attribute for `img` tags. This change also preserves the class attribute
for `input` tags inside a table. This change is reflected in a table
element's metadata.text_as_html attribute.

feat: detect language for PDFs (#4051)
The `@apply_metadata` decorator already contains logic to detect the
language of the element text (on either a document or element level).
Update pdfs, and later images, to use this decorator to get accurate
element language results outputted.
Test
```
from unstructured.partition.auto import partition
def test_partition_pdf():
    pdf_path = "example-docs/language-docs/fr_olap.pdf"
    elements = partition(pdf_path)  # optionally set `detect_language_per_element=True)`
    print(f"Number of elements partitioned: {len(elements)}")
    # Check if elements are returned
    assert len(elements) > 0, "No elements were partitioned from the PDF."
    # check language outputted for each element
    for element in elements:
        print(element)
        print(element.metadata.languages)
        print("-------------------------------")
test_partition_pdf()
```
---------
Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: shreyanid <shreyanid@users.noreply.github.com>

fix: type for serialized TableChunks (#4056)
#### To test, simply serialize a TableChunk element with and without the
changes in the PR
____
**Without the changes:**
```
In [1]: from unstructured.documents.elements import TableChunk
In [2]: TableChunk("hi")
Out[2]: <unstructured.documents.elements.TableChunk at 0x110113410>
In [3]: TableChunk("hi").to_dict()
Out[3]: 
{'type': 'Table',
 'element_id': '6267e99a-46d8-4f2d-a206-51c691469c72',
 'text': 'hi',
 'metadata': {}}
```
____
**With the changes:**
```
In [1]: from unstructured.documents.elements import TableChunk
In [2]: TableChunk("hi")
Out[2]: <unstructured.documents.elements.TableChunk at 0x10367f050>
In [3]: TableChunk("hi").to_dict()
Out[3]: 
{'type': 'TableChunk',
 'element_id': 'f91af3ac-0dea-4dc4-8a6a-69c28cfcca3b',
 'text': 'hi',
 'metadata': {}}
```
____

feat: keep img tag's class attr (#4050)
This change affects partition html.
Previously when there is a table in the html, we clean any tags inside
the table of their `class` and `id` attributes. However, sometimes there
are images, `img` tags, present in a table and its `class` attribute
identifies some important information about the image. This change
preserves the `class` attribute for `img` tags inside a table. This
change is reflected in a table element's `metadata.text_as_html`
attribute.

fix(partition, csv): increase csv field limit (#4046)
Increase the csv field limit to support partitioning of files with large
data in fields.
---------
Co-authored-by: Filip Knefel <filip@unstructured.io>

chore: bump pillow to address a CVE (#4045)

bump version to make a release (#4042)

feat: add DocumentData type (#4031)
In scenarios where there is a large amount of data that represents the
document rather than individual elements in the document, it may be
preferable to specify this in a single location rather than duplicating
the data across all elements (as we do for smaller metadata like
filename or filetype)
This PR adds DocumentData element type which can be used to uniquely
capture this data.