Support Indexing Images via OCR (#823)

- Added support for uploading .jpeg, .jpg, and .png files to Khoj from Web, Desktop app
- Updating indexer to generate raw text and entries using RapidOCR
- Details
  * added support for indexing images via ocr
  * fixed pyproject.toml
  * Update src/khoj/processor/content/images/image_to_entries.py
     Co-authored-by: Debanjum <debanjum@gmail.com>
  * Update src/khoj/processor/content/images/image_to_entries.py
     Co-authored-by: Debanjum <debanjum@gmail.com>
  * removed redudant try except blocks
  * updated desktop js file to support image formats
  * added tests for jpg and png
  * Fix processing for image to entries files
  * Update unit tests with working image indexer
  * Change png test from version verificaition to open-cv verification

---------

Co-authored-by: Debanjum <debanjum@gmail.com>
Co-authored-by: sabaimran <narmiabas@gmail.com>

tests/test_image_to_entries.py

@@ -0,0 +1,21 @@
+import os
+
+from khoj.processor.content.images.image_to_entries import ImageToEntries
+
+
+def test_png_to_jsonl():
+    with open("tests/data/images/testocr.png", "rb") as f:
+        image_bytes = f.read()
+    data = {"tests/data/images/testocr.png": image_bytes}
+    entries = ImageToEntries.extract_image_entries(image_files=data)
+    assert len(entries) == 2
+    assert "opencv-python" in entries[1][0].raw
+
+
+def test_jpg_to_jsonl():
+    with open("tests/data/images/nasdaq.jpg", "rb") as f:
+        image_bytes = f.read()
+    data = {"tests/data/images/nasdaq.jpg": image_bytes}
+    entries = ImageToEntries.extract_image_entries(image_files=data)
+    assert len(entries) == 2
+    assert "investments" in entries[1][0].raw