Format fixes

private_gpt/components/ingest/ingest_helper.py

@@ -1,6 +1,5 @@
 import logging
 from pathlib import Path
-from typing import Dict, Type
 
 from llama_index.core.readers import StringIterableReader
 from llama_index.core.readers.base import BaseReader
@@ -11,7 +10,7 @@ logger = logging.getLogger(__name__)
 
 
 # Inspired by the `llama_index.core.readers.file.base` module
-def _try_loading_included_file_formats() -> Dict[str, Type[BaseReader]]:
+def _try_loading_included_file_formats() -> dict[str, type[BaseReader]]:
     try:
         from llama_index.readers.file.docs import DocxReader, HWPReader, PDFReader
         from llama_index.readers.file.epub import EpubReader
@@ -19,13 +18,13 @@ def _try_loading_included_file_formats() -> Dict[str, Type[BaseReader]]:
         from llama_index.readers.file.ipynb import IPYNBReader
         from llama_index.readers.file.markdown import MarkdownReader
         from llama_index.readers.file.mbox import MboxReader
-        from llama_index.readers.file.tabular import PandasCSVReader
         from llama_index.readers.file.slides import PptxReader
+        from llama_index.readers.file.tabular import PandasCSVReader
         from llama_index.readers.file.video_audio import VideoAudioReader
-    except ImportError:
-        raise ImportError("`llama-index-readers-file` package not found")
+    except ImportError as e:
+        raise ImportError("`llama-index-readers-file` package not found") from e
 
-    default_file_reader_cls: Dict[str, Type[BaseReader]] = {
+    default_file_reader_cls: dict[str, type[BaseReader]] = {
         ".hwp": HWPReader,
         ".pdf": PDFReader,
         ".docx": DocxReader,

private_gpt/components/llm/llm_component.py

@@ -2,15 +2,14 @@ import logging
 
 from injector import inject, singleton
 from llama_index.core.llms import LLM, MockLLM
-from llama_index.core.utils import set_global_tokenizer
 from llama_index.core.settings import Settings as LlamaIndexSettings
+from llama_index.core.utils import set_global_tokenizer
 from transformers import AutoTokenizer  # type: ignore
 
 from private_gpt.components.llm.prompt_helper import get_prompt_style
 from private_gpt.paths import models_cache_path, models_path
 from private_gpt.settings.settings import Settings
 
-
 logger = logging.getLogger(__name__)
 
 

private_gpt/components/vector_store/vector_store_component.py

@@ -60,12 +60,14 @@ class VectorStoreComponent:
 
             case "chroma":
                 try:
-                    from private_gpt.components.vector_store.batched_chroma import \
-                        BatchedChromaVectorStore
                     import chromadb  # type: ignore
                     from chromadb.config import (  # type: ignore
                         Settings as ChromaSettings,
                     )
+
+                    from private_gpt.components.vector_store.batched_chroma import (
+                        BatchedChromaVectorStore,
+                    )
                 except ImportError as e:
                     raise ImportError(
                         "ChromaDB dependencies not found, install with `poetry install --extras chroma`"

private_gpt/launcher.py

@@ -6,6 +6,7 @@ from fastapi.middleware.cors import CORSMiddleware
 from injector import Injector
 from llama_index.core.callbacks import CallbackManager
 from llama_index.core.callbacks.global_handlers import create_global_handler
+from llama_index.core.settings import Settings as LlamaIndexSettings
 
 from private_gpt.server.chat.chat_router import chat_router
 from private_gpt.server.chunks.chunks_router import chunks_router
@@ -14,7 +15,6 @@ from private_gpt.server.embeddings.embeddings_router import embeddings_router
 from private_gpt.server.health.health_router import health_router
 from private_gpt.server.ingest.ingest_router import ingest_router
 from private_gpt.settings.settings import Settings
-from llama_index.core.settings import Settings as LlamaIndexSettings
 
 logger = logging.getLogger(__name__)
 

private_gpt/server/chat/chat_service.py

@@ -105,6 +105,7 @@ class ChatService:
             # TODO ContextChatEngine is still not migrated by LlamaIndex to accept
             # llm directly, so we are passing legacy ServiceContext until it is fixed.
             from llama_index.core import ServiceContext
+
             return ContextChatEngine.from_defaults(
                 system_prompt=system_prompt,
                 retriever=vector_index_retriever,