Renamed apps/App.py to follow snake case convention (#708)

embedchain/apps/app.py

@@ -0,0 +1,54 @@
+from typing import Optional
+
+from embedchain.config import (AppConfig, BaseEmbedderConfig, BaseLlmConfig,
+                               ChromaDbConfig)
+from embedchain.embedchain import EmbedChain
+from embedchain.embedder.openai import OpenAiEmbedder
+from embedchain.helper.json_serializable import register_deserializable
+from embedchain.llm.openai import OpenAILlm
+from embedchain.vectordb.chroma import ChromaDB
+
+
+@register_deserializable
+class App(EmbedChain):
+    """
+    The EmbedChain app in it's simplest and most straightforward form.
+    An opinionated choice of LLM, vector database and embedding model.
+
+    Methods:
+    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.
+    """
+
+    def __init__(
+        self,
+        config: AppConfig = None,
+        llm_config: BaseLlmConfig = None,
+        chromadb_config: Optional[ChromaDbConfig] = None,
+        system_prompt: Optional[str] = None,
+    ):
+        """
+        Initialize a new `CustomApp` instance. You only have a few choices to make.
+
+        :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: AppConfig, optional
+        :param llm_config: Allows you to configure the LLM, e.g. how many documents to return,
+        example: `from embedchain.config import LlmConfig`, defaults to None
+        :type llm_config: BaseLlmConfig, optional
+        :param chromadb_config: Allows you to configure the vector database,
+        example: `from embedchain.config import ChromaDbConfig`, defaults to None
+        :type chromadb_config: Optional[ChromaDbConfig], optional
+        :param system_prompt: System prompt that will be provided to the LLM as such, defaults to None
+        :type system_prompt: Optional[str], optional
+        """
+        if config is None:
+            config = AppConfig()
+
+        llm = OpenAILlm(config=llm_config)
+        embedder = OpenAiEmbedder(config=BaseEmbedderConfig(model="text-embedding-ada-002"))
+        database = ChromaDB(config=chromadb_config)
+
+        super().__init__(config, llm, db=database, embedder=embedder, system_prompt=system_prompt)