[Bug fix] Fix issue of missing user directory (#975)
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@@ -6,3 +6,6 @@ from embedchain.apps.app import App # noqa: F401
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from embedchain.client import Client # noqa: F401
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from embedchain.pipeline import Pipeline # noqa: F401
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from embedchain.vectordb.chroma import ChromaDB # noqa: F401
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# Setup the user directory if doesn't exist already
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Client.setup_dir()
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@@ -2,9 +2,7 @@ from typing import Optional
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import yaml
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from embedchain.client import Client
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from embedchain.config import (AppConfig, BaseEmbedderConfig, BaseLlmConfig,
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ChunkerConfig)
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from embedchain.config import AppConfig, BaseEmbedderConfig, BaseLlmConfig, ChunkerConfig
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from embedchain.config.vectordb.base import BaseVectorDbConfig
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from embedchain.embedchain import EmbedChain
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from embedchain.embedder.base import BaseEmbedder
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@@ -68,9 +66,6 @@ class App(EmbedChain):
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:type system_prompt: Optional[str], optional
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:raises TypeError: LLM, database or embedder or their config is not a valid class instance.
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"""
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# Setup user directory if it doesn't exist already
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Client.setup_dir()
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# Type check configs
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if config and not isinstance(config, AppConfig):
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raise TypeError(
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@@ -134,9 +129,6 @@ class App(EmbedChain):
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:return: An instance of the App class.
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:rtype: App
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"""
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# Setup user directory if it doesn't exist already
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Client.setup_dir()
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with open(yaml_path, "r") as file:
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config_data = yaml.safe_load(file)
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@@ -16,8 +16,7 @@ from embedchain.embedder.base import BaseEmbedder
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from embedchain.helpers.json_serializable import JSONSerializable
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from embedchain.llm.base import BaseLlm
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from embedchain.loaders.base_loader import BaseLoader
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from embedchain.models.data_type import (DataType, DirectDataType,
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IndirectDataType, SpecialDataType)
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from embedchain.models.data_type import DataType, DirectDataType, IndirectDataType, SpecialDataType
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from embedchain.telemetry.posthog import AnonymousTelemetry
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from embedchain.utils import detect_datatype, is_valid_json_string
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from embedchain.vectordb.base import BaseVectorDB
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@@ -24,6 +24,10 @@ from embedchain.vectordb.base import BaseVectorDB
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from embedchain.vectordb.chroma import ChromaDB
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# Setup the user directory if doesn't exist already
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Client.setup_dir()
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@register_deserializable
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class Pipeline(EmbedChain):
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"""
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@@ -64,9 +68,6 @@ class Pipeline(EmbedChain):
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:type auto_deploy: bool, optional
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:raises Exception: If an error occurs while creating the pipeline
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"""
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# Setup user directory if it doesn't exist already
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Client.setup_dir()
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if id and yaml_path:
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raise Exception("Cannot provide both id and config. Please provide only one of them.")
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@@ -357,9 +358,6 @@ class Pipeline(EmbedChain):
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:return: An instance of the Pipeline class.
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:rtype: Pipeline
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"""
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# Setup user directory if it doesn't exist already
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Client.setup_dir()
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with open(yaml_path, "r") as file:
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config_data = yaml.safe_load(file)
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@@ -10,7 +10,7 @@ from typing import cast
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from openai import OpenAI
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from openai.types.beta.threads import MessageContentText, ThreadMessage
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from embedchain import Pipeline
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from embedchain import Client, Pipeline
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from embedchain.config import AddConfig
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from embedchain.data_formatter import DataFormatter
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from embedchain.models.data_type import DataType
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@@ -19,6 +19,9 @@ from embedchain.utils import detect_datatype
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logging.basicConfig(level=logging.WARN)
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# Setup the user directory if doesn't exist already
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Client.setup_dir()
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class OpenAIAssistant:
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def __init__(
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