clean up `privategpt` example

examples/privategpt/constants.py

 import os
-from dotenv import load_dotenv
 from chromadb.config import Settings
 
-load_dotenv()
-
 # Define the folder for storing database
 PERSIST_DIRECTORY = os.environ.get('PERSIST_DIRECTORY', 'db')
 

examples/privategpt/ingest.py

@@ -2,7 +2,6 @@
 import os
 import glob
 from typing import List
-from dotenv import load_dotenv
 from multiprocessing import Pool
 from tqdm import tqdm
 
@@ -27,9 +26,6 @@ from langchain.docstore.document import Document
 from constants import CHROMA_SETTINGS
 
 
-load_dotenv()
-
-
 # Load environment variables
 persist_directory = os.environ.get('PERSIST_DIRECTORY', 'db')
 source_directory = os.environ.get('SOURCE_DIRECTORY', 'source_documents')
@@ -37,7 +33,6 @@ embeddings_model_name = os.environ.get('EMBEDDINGS_MODEL_NAME', 'all-MiniLM-L6-v
 chunk_size = 500
 chunk_overlap = 50
 
-
 # Custom document loaders
 class MyElmLoader(UnstructuredEmailLoader):
     """Wrapper to fallback to text/plain when default does not work"""

examples/privategpt/privateGPT.py

 #!/usr/bin/env python3
-from dotenv import load_dotenv
 from langchain.chains import RetrievalQA
 from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
@@ -9,8 +8,6 @@ import os
 import argparse
 import time
 
-load_dotenv()
-
 model = os.environ.get("MODEL", "llama2-uncensored")
 embeddings_model_name = os.environ.get("EMBEDDINGS_MODEL_NAME", "all-MiniLM-L6-v2")
 persist_directory = os.environ.get("PERSIST_DIRECTORY", "db")

examples/privategpt/pyproject.toml

@@ -19,6 +19,7 @@ tabulate = "^0.9.0"
 pandoc = "^2.3"
 pypandoc = "^1.11"
 tqdm = "^4.65.0"
+sentence-transformers = "^2.2.2"
 
 [build-system]
 requires = ["poetry-core"]