[BUG] Chunker Config does not work as described in doc strings

[cachho]

My code

from embedchain import App
from embedchain.config import AddConfig, InitConfig
from embedchain.config.AddConfig import ChunkerConfig

app = App(config=InitConfig(log_level="DEBUG"))

chunker_config = ChunkerConfig(chunk_size=1, chunk_overlap=1, length_function=1)
config = AddConfig(chunker_config)
app.add("text", "lorem_ipsum", config)

returns

Traceback (most recent call last):
  File "test.py", line 9, in <module>
    app.add("text", "lorem_ipsum", config)
  File "/home/c/code/embedchain/embedchain/embedchain.py", line 53, in add
    data_formatter = DataFormatter(data_type, config)
  File "/home/c/code/embedchain/embedchain/data_formatter/data_formatter.py", line 26, in __init__
    self.chunker = self._get_chunker(data_type, config.chunker)
  File "/home/c/code/embedchain/embedchain/data_formatter/data_formatter.py", line 59, in _get_chunker
    "youtube_video": YoutubeVideoChunker(config),
  File "/home/c/code/embedchain/embedchain/chunkers/youtube_video.py", line 21, in __init__
    text_splitter = RecursiveCharacterTextSplitter(**config)
TypeError: ABCMeta object argument after ** must be a mapping, not ChunkerConfig

I think it's because it expects a dict but ChunkerConfig is a class.
I'm not sure why ChunkerConfig should be a dict when everything else is a config class.

[cachho]

The readme example works

app = App(config=InitConfig(log_level="DEBUG"))

add_config = {
        "chunker": {
                "chunk_size": 1,
                "chunk_overlap": 1,
                "length_function": len,
        }
}
app.add("text", "lorem ipsum", AddConfig(**add_config))

returns

2023-07-12 21:27:30,807 [clickhouse_connect.driver.ctypes] [INFO] Successfully imported ClickHouse Connect C data optimizations
2023-07-12 21:27:30,807 [clickhouse_connect.driver.ctypes] [DEBUG] Successfully import ClickHouse Connect C/Numpy optimizations
2023-07-12 21:27:30,811 [clickhouse_connect.json_impl] [INFO] Using python library for writing JSON byte strings
2023-07-12 21:27:30,864 [chromadb.db.duckdb] [INFO] loaded in 164 embeddings
2023-07-12 21:27:30,866 [chromadb.db.duckdb] [INFO] loaded in 1 collections
2023-07-12 21:27:30,868 [chromadb.db.duckdb] [INFO] collection with name embedchain_store already exists, returning existing collection
2023-07-12 21:27:30,876 [openai] [DEBUG] message='Request to OpenAI API' method=post path=https://api.openai.com/v1/engines/text-embedding-ada-002/embeddings
2023-07-12 21:27:30,876 [openai] [DEBUG] api_version=None data='{"input": ["l", "o", "r", "e", "m", " ", "i", "p", "s", "u"], "encoding_format": "base64"}' message='Post details'
2023-07-12 21:27:32,142 [openai] [DEBUG] message='OpenAI API response' path=https://api.openai.com/v1/engines/text-embedding-ada-002/embeddings processing_ms=36 request_id=a930dc3cfcde368195cfa94b24529b13 response_code=200
2023-07-12 21:27:32,156 [chromadb.db.index.hnswlib] [DEBUG] Index saved to db/index/index.bin
Successfully saved lorem ipsum. New chunks count: 10