Update multi_modal_processing.py

hybrid/multi_modal_processing.py

@@ -1 +1,54 @@
-print("Hello World")
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any, Callable, Dict, List
+
+
+@dataclass
+class ModalData:
+    """
+    Data container for a specific modality.
+
+    Attributes
+    ----------
+    modality : str
+        Type of modality (e.g., "text", "audio", "image").
+    data : Any
+        The raw data associated with the modality.
+    """
+    modality: str
+    data: Any
+
+
+class MultiModalProcessor:
+    """
+    Simple processor that routes inputs to registered modality-specific handlers.
+    """
+    def __init__(self) -> None:
+        self.handlers: Dict[str, Callable[[Any], Any]] = {}
+
+    def register_handler(self, modality: str, handler: Callable[[Any], Any]) -> None:
+        """
+        Register a function to handle a specific modality.
+        """
+        self.handlers[modality] = handler
+
+    def process(self, inputs: List[ModalData]) -> Dict[str, Any]:
+        """
+        Process a list of `ModalData` objects and return a dict of results keyed by modality.
+        """
+        results: Dict[str, Any] = {}
+        for item in inputs:
+            handler = self.handlers.get(item.modality)
+            if handler:
+                results[item.modality] = handler(item.data)
+        return results
+
+
+if __name__ == "__main__":
+    processor = MultiModalProcessor()
+    processor.register_handler("text", lambda s: s.upper())
+    processor.register_handler("number", lambda n: n * 2)
+
+    sample_inputs = [ModalData("text", "hello"), ModalData("number", 3)]
+    print(processor.process(sample_inputs))