feat: One App (#635)

Co-authored-by: Taranjeet Singh <reachtotj@gmail.com>

embedchain/apps/custom_app.py

@@ -1,7 +1,8 @@
+import logging
 from typing import Optional
 
+from embedchain.apps.app import App
 from embedchain.config import CustomAppConfig
-from embedchain.embedchain import EmbedChain
 from embedchain.embedder.base import BaseEmbedder
 from embedchain.helper.json_serializable import register_deserializable
 from embedchain.llm.base import BaseLlm
@@ -9,7 +10,7 @@ from embedchain.vectordb.base import BaseVectorDB
 
 
 @register_deserializable
-class CustomApp(EmbedChain):
+class CustomApp(App):
     """
     Embedchain's custom app allows for most flexibility.
 
@@ -19,6 +20,9 @@ class CustomApp(EmbedChain):
     add(source, data_type): adds the data from the given URL to the vector db.
     query(query): finds answer to the given query using vector database and LLM.
     chat(query): finds answer to the given query using vector database and LLM, with conversation history.
+
+    .. deprecated:: 0.0.59
+        Use `App` instead.
     """
 
     def __init__(
@@ -32,6 +36,9 @@ class CustomApp(EmbedChain):
         """
         Initialize a new `CustomApp` instance. You have to choose a LLM, database and embedder.
 
+        .. deprecated:: 0.0.59
+        Use `App` instead.
+
         :param config: Config for the app instance. This is the most basic configuration,
         that does not fall into the LLM, database or embedder category, defaults to None
         :type config: Optional[CustomAppConfig], optional
@@ -48,36 +55,9 @@ class CustomApp(EmbedChain):
         :raises ValueError: LLM, database or embedder has not been defined.
         :raises TypeError: LLM, database or embedder is not a valid class instance.
         """
-        # Config is not required, it has a default
-        if config is None:
-            config = CustomAppConfig()
-
-        if llm is None:
-            raise ValueError("LLM must be provided for custom app. Please import from `embedchain.llm`.")
-        if db is None:
-            raise ValueError("Database must be provided for custom app. Please import from `embedchain.vectordb`.")
-        if embedder is None:
-            raise ValueError("Embedder must be provided for custom app. Please import from `embedchain.embedder`.")
-
-        if not isinstance(config, CustomAppConfig):
-            raise TypeError(
-                "Config is not a `CustomAppConfig` instance. "
-                "Please make sure the type is right and that you are passing an instance."
-            )
-        if not isinstance(llm, BaseLlm):
-            raise TypeError(
-                "LLM is not a `BaseLlm` instance. "
-                "Please make sure the type is right and that you are passing an instance."
-            )
-        if not isinstance(db, BaseVectorDB):
-            raise TypeError(
-                "Database is not a `BaseVectorDB` instance. "
-                "Please make sure the type is right and that you are passing an instance."
-            )
-        if not isinstance(embedder, BaseEmbedder):
-            raise TypeError(
-                "Embedder is not a `BaseEmbedder` instance. "
-                "Please make sure the type is right and that you are passing an instance."
-            )
-
+        logging.warning(
+            "DEPRECATION WARNING: Please use `App` instead of `CustomApp`. "
+            "`CustomApp` will be removed in a future release. "
+            "Please refer to https://docs.embedchain.ai/advanced/app_types#opensourceapp for instructions."
+        )
         super().__init__(config=config, llm=llm, db=db, embedder=embedder, system_prompt=system_prompt)