chore: import upstream snapshot with attribution

application/parser/file/image_parser.py

@@ -0,0 +1,31 @@
+"""Image parser.
+
+Contains parser for .png, .jpg, .jpeg files.
+
+"""
+from pathlib import Path
+import requests
+from typing import Dict, Union
+
+from application.parser.file.base_parser import BaseParser
+from application.core.settings import settings
+
+
+class ImageParser(BaseParser):
+    """Image parser."""
+
+    def _init_parser(self) -> Dict:
+        """Init parser."""
+        return {}
+
+    def parse_file(self, file: Path, errors: str = "ignore") -> Union[str, list[str]]:
+        if settings.PARSE_IMAGE_REMOTE:
+            doc2md_service = "https://llm.arc53.com/doc2md"
+            # alternatively you can use local vision capable LLM
+            with open(file, "rb") as file_loaded:
+                files = {'file': file_loaded}
+                response = requests.post(doc2md_service, files=files, timeout=100)   
+                data = response.json()["markdown"] 
+        else:
+            data = ""
+        return data