build(deps): bump unstructured-inference==0.5.13 (#1141)

Bump to unstructured-inference==0.5.13, which includes:

Fix extracted image elements being included in layout merge, addresses the issue
where an entire-page image in a PDF was not passed to the layout model when using hi_res.

Author: cragwolfe

Diff for: CHANGELOG.md

@@ -1,3 +1,14 @@
+## 0.10.2
+
+### Enhancements
+* Bump unstructured-inference==0.5.13:
+  - Fix extracted image elements being included in layout merge, addresses the issue
+    where an entire-page image in a PDF was not passed to the layout model when using hi_res.
+
+### Features
+
+### Fixes
+
 ## 0.10.1
 
 ### Enhancements

Diff for: requirements/constraints.in

@@ -26,4 +26,4 @@ Pillow<10.0.0
 # AttributeError: 'ResourcePath' object has no attribute 'collection'
 Office365-REST-Python-Client<2.4.3
 # NOTE(christine) Pinned to set the `unstructured-inference` version
-unstructured-inference==0.5.12
+unstructured-inference==0.5.13

Diff for: requirements/extra-pdf-image.txt

@@ -205,7 +205,7 @@ typing-extensions==4.7.1
     #   torch
 tzdata==2023.3
     # via pandas
-unstructured-inference==0.5.12
+unstructured-inference==0.5.13
     # via
     #   -c requirements/constraints.in
     #   -r requirements/extra-pdf-image.in

Diff for: requirements/ingest-confluence.txt

@@ -4,7 +4,7 @@
 #
 #    pip-compile requirements/ingest-confluence.in
 #
-atlassian-python-api==3.40.1
+atlassian-python-api==3.41.0
     # via -r requirements/ingest-confluence.in
 certifi==2023.7.22
     # via

Diff for: test_unstructured_ingest/expected-structured-output/azure/IRS-form-1987.pdf.json

@@ -10,34 +10,34 @@
     "text": "Data in Brief 22 (2019) 451–457"
   },
   {
-    "type": "Image",
-    "element_id": "70d50409ea726a2789ebbd004bec31f4",
+    "type": "UncategorizedText",
+    "element_id": "869adddb184177031536477262e0dde0",
     "metadata": {
       "data_source": {},
       "filetype": "application/pdf",
       "page_number": 1
     },
-    "text": "Contents lists available at ScienceDirect Data in Brief journal homepage: www.elsevier.com/locate/dib"
+    "text": "Contents lists available at ScienceDirect"
   },
   {
     "type": "UncategorizedText",
-    "element_id": "869adddb184177031536477262e0dde0",
+    "element_id": "e6fa42b5b4d85001b900e47c050b645b",
     "metadata": {
       "data_source": {},
       "filetype": "application/pdf",
       "page_number": 1
     },
-    "text": "Contents lists available at ScienceDirect"
+    "text": "Data in Brief"
   },
   {
-    "type": "UncategorizedText",
-    "element_id": "e6fa42b5b4d85001b900e47c050b645b",
+    "type": "NarrativeText",
+    "element_id": "9234133787d0a6b3976b16569c0b5cf3",
     "metadata": {
       "data_source": {},
       "filetype": "application/pdf",
       "page_number": 1
     },
-    "text": "Data in Brief"
+    "text": "journal homepage: www.elsevier.com/locate/dib"
   },
   {
     "type": "UncategorizedText",

Diff for: test_unstructured_ingest/expected-structured-output/biomed-api/65/11/main.PMC6312790.pdf.json

@@ -10,34 +10,34 @@
     "text": "Data in Brief 22 (2019) 484–487"
   },
   {
-    "type": "Image",
-    "element_id": "70d50409ea726a2789ebbd004bec31f4",
+    "type": "UncategorizedText",
+    "element_id": "869adddb184177031536477262e0dde0",
     "metadata": {
       "data_source": {},
       "filetype": "application/pdf",
       "page_number": 1
     },
-    "text": "Contents lists available at ScienceDirect Data in Brief journal homepage: www.elsevier.com/locate/dib"
+    "text": "Contents lists available at ScienceDirect"
   },
   {
     "type": "UncategorizedText",
-    "element_id": "869adddb184177031536477262e0dde0",
+    "element_id": "e6fa42b5b4d85001b900e47c050b645b",
     "metadata": {
       "data_source": {},
       "filetype": "application/pdf",
       "page_number": 1
     },
-    "text": "Contents lists available at ScienceDirect"
+    "text": "Data in Brief"
   },
   {
-    "type": "UncategorizedText",
-    "element_id": "e6fa42b5b4d85001b900e47c050b645b",
+    "type": "NarrativeText",
+    "element_id": "9234133787d0a6b3976b16569c0b5cf3",
     "metadata": {
       "data_source": {},
       "filetype": "application/pdf",
       "page_number": 1
     },
-    "text": "Data in Brief"
+    "text": "journal homepage: www.elsevier.com/locate/dib"
   },
   {
     "type": "UncategorizedText",

Diff for: test_unstructured_ingest/expected-structured-output/biomed-api/75/29/main.PMC6312793.pdf.json

@@ -852,7 +852,7 @@
   },
   {
     "type": "FigureCaption",
-    "element_id": "185e67615d123b35d38ea72e0cdb6d99",
+    "element_id": "d21661161ae2c8dc39e96ee5c660704b",
     "metadata": {
       "data_source": {},
       "filetype": "application/pdf",
@@ -960,16 +960,6 @@
     },
     "text": "LayoutParser provides a unified interface for existing OCR tools. Though there are many OCR tools available, they are usually configured differently with distinct APIs or protocols for using them. It can be inefficient to add new OCR tools into an existing pipeline, and difficult to make direct comparisons among the available tools to find the best option for a particular project. To this end, LayoutParser builds a series of wrappers among existing OCR engines, and provides nearly the same syntax for using them. It supports a plug-and-play style of using OCR engines, making it effortless to switch, evaluate, and compare different OCR modules:"
   },
-  {
-    "type": "Image",
-    "element_id": "65ac0f9ae348b12ed9484b8af7296617",
-    "metadata": {
-      "data_source": {},
-      "filetype": "application/pdf",
-      "page_number": 7
-    },
-    "text": "ocr_agent = lp.TesseractAgent ()pOi"
-  },
   {
     "type": "ListItem",
     "element_id": "bebbb4e94f1f97edeb5b96e252720a93",
@@ -1351,6 +1341,26 @@
     },
     "text": "x09 Burpunog uayor Aeydsiq 1 vondo 10g Guypunog usyoy apir:z uondo Mode I: Showing Layout on the Original Image Mode Il: Drawing OCR'd Text at the Correspoding Position"
   },
+  {
+    "type": "NarrativeText",
+    "element_id": "aed1b21a388cefaa841f20f48d19ca98",
+    "metadata": {
+      "data_source": {},
+      "filetype": "application/pdf",
+      "page_number": 9
+    },
+    "text": "Mode I: Showing Layout on the Original Image"
+  },
+  {
+    "type": "NarrativeText",
+    "element_id": "915bc5f1403e01b56e77300d9354fded",
+    "metadata": {
+      "data_source": {},
+      "filetype": "application/pdf",
+      "page_number": 9
+    },
+    "text": "Mode Il: Drawing OCR'd Text at the Correspoding Position"
+  },
   {
     "type": "NarrativeText",
     "element_id": "cc8ad6e0f933633a37b82200e6724f9e",