Update with basemodel

Signed-off-by: shiyu22 <shiyu.chen@zilliz.com>

eqa_insert.py

@@ -12,29 +12,31 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from typing import Dict, Optional, Any
+from pydantic import BaseModel
+
 from towhee import ops, pipe, AutoPipes, AutoConfig
 
 
 @AutoConfig.register
-class EnhancedQAInsertConfig:
+class EnhancedQAInsertConfig(BaseModel):
     """
     Config of pipeline
     """
-    def __init__(self):
     # config for text_splitter
-        self.type = 'RecursiveCharacter'
-        self.chunk_size = 300
-        self.splitter_kwargs = {}
+    type: Optional[str] = 'RecursiveCharacter'
+    chunk_size: int = 300
+    splitter_kwargs: Optional[Dict[str, Any]] = {}
     # config for sentence_embedding
-        self.model = 'all-MiniLM-L6-v2'
-        self.openai_api_key = None
-        self.device = -1
+    model: Optional[str] = 'all-MiniLM-L6-v2'
+    openai_api_key: Optional[str] = None
+    device: Optional[int] = -1
     # config for insert_milvus
-        self.host = '127.0.0.1'
-        self.port = '19530'
-        self.collection_name = 'chatbot'
-        self.user = None
-        self.password = None
+    host: Optional[str] = '127.0.0.1'
+    port: Optional[str] = '19530'
+    collection_name: Optional[str] = 'chatbot'
+    user: Optional[str] = None
+    password: Optional[str] = None
 
 
 _hf_models = ops.sentence_embedding.transformers().get_op().supported_model_names()
@@ -56,7 +58,7 @@ def _get_embedding_op(config):
         return True, ops.sentence_embedding.sbert(model_name=config.model, device=device)
     if config.model in _openai_models:
         return False, ops.sentence_embedding.openai(model_name=config.model, api_key=config.openai_api_key)
-    raise RuntimeError('Unknown model: [%s], only support: %s' % (config.model, _hf_models + _openai_models))
+    raise RuntimeError('Unknown model: [%s], only support: %s' % (config.model, _hf_models + _sbert_models + _openai_models))