Removed kwargs from add_texts (langchain-ai#7595)

Removing **kwargs argument from add_texts method in DeepLake vectorstore
as it confuses users and doesn't fail when user is typing incorrect
parameters.

Also added small test to ensure the change is applies correctly.

Guys could pls take a look: @rlancemartin, @eyurtsev, this is a small
PR.

Thx so much!

langchain/vectorstores/deeplake.py

@@ -171,11 +171,20 @@ def add_texts(
             texts (Iterable[str]): Texts to add to the vectorstore.
             metadatas (Optional[List[dict]], optional): Optional list of metadatas.
             ids (Optional[List[str]], optional): Optional list of IDs.
-            **kwargs: other optional keyword arguments.
+            embedding_function (Optional[Embeddings], optional): Embedding function
+                to use to convert the text into embeddings.
+            **kwargs (Any): Any additional keyword arguments passed is not supported
+                by this method.
 
         Returns:
             List[str]: List of IDs of the added texts.
         """
+        if kwargs:
+            unsupported_items = "`, `".join(set(kwargs.keys()))
+            raise TypeError(
+                f"`{unsupported_items}` is/are not a valid argument to add_text method"
+            )
+
         kwargs = {}
         if ids:
             if self._id_tensor_name == "ids":  # for backwards compatibility
@@ -199,8 +208,7 @@ def add_texts(
             metadata=metadatas,
             embedding_data=texts,
             embedding_tensor="embedding",
-            embedding_function=kwargs.get("embedding_function")
-            or self._embedding_function.embed_documents,  # type: ignore
+            embedding_function=self._embedding_function.embed_documents,  # type: ignore
             return_ids=True,
             **kwargs,
         )
@@ -707,6 +715,7 @@ def from_texts(
         metadatas: Optional[List[dict]] = None,
         ids: Optional[List[str]] = None,
         dataset_path: str = _LANGCHAIN_DEFAULT_DEEPLAKE_PATH,
+        embedding_function: Optional[Embeddings] = None,
         **kwargs: Any,
     ) -> DeepLake:
         """Create a Deep Lake dataset from a raw documents.
@@ -753,20 +762,19 @@ def from_texts(
             ValueError: If 'embedding' is provided in kwargs. This is deprecated,
                 please use `embedding_function` instead.
         """
-        if kwargs.get("embedding"):
+        if embedding:
             raise ValueError(
                 "using embedding as embedidng_functions is deprecated. "
                 "Please use `embedding_function` instead."
             )
 
         deeplake_dataset = cls(
-            dataset_path=dataset_path, embedding_function=embedding, **kwargs
+            dataset_path=dataset_path, embedding_function=embedding_function, **kwargs
         )
         deeplake_dataset.add_texts(
             texts=texts,
             metadatas=metadatas,
             ids=ids,
-            embedding_function=embedding.embed_documents,  # type: ignore
         )
         return deeplake_dataset