[Refactor] Converge Pipeline and App classes (#1021)

Co-authored-by: Deven Patel <deven298@yahoo.com>

embedchain/config/app_config.py

@@ -0,0 +1,34 @@
+from typing import Optional
+
+from embedchain.helpers.json_serializable import register_deserializable
+
+from .base_app_config import BaseAppConfig
+
+
+@register_deserializable
+class AppConfig(BaseAppConfig):
+    """
+    Config to initialize an embedchain custom `App` instance, with extra config options.
+    """
+
+    def __init__(
+        self,
+        log_level: str = "WARNING",
+        id: Optional[str] = None,
+        name: Optional[str] = None,
+        collect_metrics: Optional[bool] = True,
+        **kwargs,
+    ):
+        """
+        Initializes a configuration class instance for an App. This is the simplest form of an embedchain app.
+        Most of the configuration is done in the `App` class itself.
+
+        :param log_level: Debug level ['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], defaults to "WARNING"
+        :type log_level: str, optional
+        :param id: ID of the app. Document metadata will have this id., defaults to None
+        :type id: Optional[str], optional
+        :param collect_metrics: Send anonymous telemetry to improve embedchain, defaults to True
+        :type collect_metrics: Optional[bool], optional
+        """
+        self.name = name
+        super().__init__(log_level=log_level, id=id, collect_metrics=collect_metrics, **kwargs)