Renamed config/apps/OpenSourceAppConfig.py to follow snake case convention (#701)

embedchain/config/apps/open_source_app_config.py

@@ -0,0 +1,40 @@
+from typing import Optional
+
+from embedchain.helper.json_serializable import register_deserializable
+
+from .base_app_config import BaseAppConfig
+
+
+@register_deserializable
+class OpenSourceAppConfig(BaseAppConfig):
+    """
+    Config to initialize an embedchain custom `OpenSourceApp` instance, with extra config options.
+    """
+
+    def __init__(
+        self,
+        log_level: str = "WARNING",
+        id: Optional[str] = None,
+        collect_metrics: Optional[bool] = None,
+        model: str = "orca-mini-3b.ggmlv3.q4_0.bin",
+        collection_name: Optional[str] = None,
+    ):
+        """
+        Initializes a configuration class instance for an Open Source App.
+
+        :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
+        :param model: GPT4ALL uses the model to instantiate the class.
+        Unlike `App`, it has to be provided before querying, defaults to "orca-mini-3b.ggmlv3.q4_0.bin"
+        :type model: str, optional
+        :param collection_name: Default collection name. It's recommended to use app.db.set_collection_name() instead,
+        defaults to None
+        :type collection_name: Optional[str], optional
+        """
+        self.model = model or "orca-mini-3b.ggmlv3.q4_0.bin"
+
+        super().__init__(log_level=log_level, id=id, collect_metrics=collect_metrics, collection_name=collection_name)