feat: Implement core application structure, AI extraction, persistence, and Telegram bot modules with updated configuration and dependencies.

app/ingestion/image.py

@@ -0,0 +1,29 @@
+"""
+Handles processing of image inputs (e.g., receipts).
+"""
+import logging
+
+logger = logging.getLogger(__name__)
+
+def process_image_input(image_data: bytes) -> str:
+    """
+    Placeholder for image input processing.
+    This will eventually involve OCR (Optical Character Recognition).
+
+    Args:
+        image_data: The raw bytes of the image file.
+
+    Returns:
+        The extracted text from the image, or an empty string if failed.
+    """
+    logger.info("Processing image input (stub).")
+    # In a real implementation, you would use a library like Tesseract or a cloud service.
+    # For example:
+    # try:
+    #     text = pytesseract.image_to_string(Image.open(io.BytesIO(image_data)))
+    #     return text
+    # except Exception as e:
+    #     logger.error(f"OCR processing failed: {e}")
+    #     return ""
+    
+    return "Sample text extracted from receipt image."