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new file mode 100644 index 0000000..aa8e602 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,30 @@ +[tool.poetry] +name = "docs-rag" +version = "0.1.0" +description = "" +authors = ["Your Name "] +readme = "README.md" +packages = [{include = "docsrag"}] + +[tool.poetry.dependencies] +python = ">=3.9,<3.9.7 || >3.9.7,<4.0" +langchain = "^0.1.1" +langchainhub = "^0.1.14" +langchain-benchmarks = "^0.0.10" +langsmith = "^0.0.83" +openai = "^1.9.0" +tiktoken = "^0.5.2" +chromadb = "^0.4.22" +bs4 = "^0.0.2" +pandas = "^2.2.0" +pyarrow = "^15.0.0" +langchain-community = "^0.0.14" +sentence-transformers = "^2.2.2" +langchain-openai = "^0.0.3" +streamlit = "^1.30.0" +pysqlite3-binary = "^0.5.2.post3" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" From 61947bbf005fe03569e1dd1b8f63b9b1aecb6905 Mon Sep 17 00:00:00 2001 From: Theo Date: Mon, 22 Jan 2024 22:33:32 +0300 Subject: [PATCH 02/11] added sqlite3 version updation --- docsrag/app/utils.py | 7 +++++++ 1 file changed, 7 insertions(+) create mode 100644 docsrag/app/utils.py diff --git a/docsrag/app/utils.py b/docsrag/app/utils.py new file mode 100644 index 0000000..8ad3b6f --- /dev/null +++ b/docsrag/app/utils.py @@ -0,0 +1,7 @@ +from importlib import import_module +import sys + + +def upd_sqlite_version(): + import_module("pysqlite3") + sys.modules['sqlite3'] = sys.modules.pop('pysqlite3') \ No newline at end of file From 9d6bff039e18988a44a030f27730cabc8b2ee28b Mon Sep 17 00:00:00 2001 From: Theo Date: Mon, 22 Jan 2024 22:33:47 +0300 Subject: [PATCH 03/11] files moving --- .vscode/launch.json | 2 +- README.md | 3 +++ chat_app.py => docsrag/app/chat_app.py | 11 +++++++++-- {src => docsrag/rag}/chain.py | 0 {src => docsrag/rag}/chromadb.py | 0 {src => docsrag/rag}/docs_reader.py | 0 6 files changed, 13 insertions(+), 3 deletions(-) create mode 100644 README.md rename chat_app.py => docsrag/app/chat_app.py (90%) rename {src => docsrag/rag}/chain.py (100%) rename {src => docsrag/rag}/chromadb.py (100%) rename {src => docsrag/rag}/docs_reader.py (100%) diff --git a/.vscode/launch.json b/.vscode/launch.json index b4c7140..ed22eda 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -12,7 +12,7 @@ "console": "integratedTerminal", "args": [ "run", - "chat_app.py" + "docsrag/app/chat_app.py" ], "env": { "STREAMLIT_SERVER_PORT": "8501" diff --git a/README.md b/README.md new file mode 100644 index 0000000..d3f3f3a --- /dev/null +++ b/README.md @@ -0,0 +1,3 @@ +1. Install poetry +2. Install packages: `poetry install` +3. Activate venv: `poetry shell` \ No newline at end of file diff --git a/chat_app.py b/docsrag/app/chat_app.py similarity index 90% rename from chat_app.py rename to docsrag/app/chat_app.py index 0140205..447a309 100644 --- a/chat_app.py +++ b/docsrag/app/chat_app.py @@ -2,8 +2,13 @@ from dotenv import load_dotenv import json import os -from src.chromadb import read_db, get_retriever -from src.chain import get_chain, retrieve_docs, generate_response, generate_response_stream +from docsrag.rag.chromadb import read_db, get_retriever +from docsrag.rag.chain import get_chain, retrieve_docs, generate_response, generate_response_stream +from docsrag.app.utils import upd_sqlite_version + +# Uncomment if truobles with sqlite3 version +# More info: https://docs.trychroma.com/troubleshooting#sqlite" +upd_sqlite_version() def get_sources(docs): @@ -30,8 +35,10 @@ def get_sources(docs): load_dotenv(".env") with open("config.json") as f: config = json.load(f) + st.session_state.config = config st.session_state.vectorstore = read_db("supervisely-dev-portal-db") + with open("models.json") as f: models = json.load(f) st.session_state.models = models diff --git a/src/chain.py b/docsrag/rag/chain.py similarity index 100% rename from src/chain.py rename to docsrag/rag/chain.py diff --git a/src/chromadb.py b/docsrag/rag/chromadb.py similarity index 100% rename from src/chromadb.py rename to docsrag/rag/chromadb.py diff --git a/src/docs_reader.py b/docsrag/rag/docs_reader.py similarity index 100% rename from src/docs_reader.py rename to docsrag/rag/docs_reader.py From 1a622c6f77c4a4b110c6388208f6aefbcf005927 Mon Sep 17 00:00:00 2001 From: Theo Date: Tue, 23 Jan 2024 00:41:38 +0300 Subject: [PATCH 04/11] added ruff linter options --- poetry.lock | 119 ++++++++++++++++++++++++++++++++++++++++++++++++- pyproject.toml | 83 ++++++++++++++++++++++++++++++++++ 2 files changed, 201 insertions(+), 1 deletion(-) diff --git a/poetry.lock b/poetry.lock index 282559e..b4078d7 100644 --- 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"poetry.core.masonry.api" + +[tool.ruff] +line-length = 120 + +select = ["A", "ANN", "B", "E", "F", "N", "Q", "W", "S", "I"] +# Not supported: +# - flake8-annotations-complexity +# - flake8-import-order (could be replaced with isort) +# - flake8-mutable (bugbear has B006 for that) +# - flake8-use-fstring (Pyflakes has F541 for that) +# - flake8-cognitive-complexity (is mccabe C901 not enough?) +# - flake8-variables-names (VNE) +# - radon (is it really necessary?) + +ignore = [ + "Q000", + + "ANN002", # Missing type annotation for *args + "ANN003", # Missing type annotation for **kwargs + "ANN101", # Missing type annotation for self in method + "ANN102", # Missing type annotation for cls in classmethod + "ANN204", # Missing return type annotation for special method + "ANN401", # Dynamically typed expressions (typing.Any) are disallowed + + "N818", # All exceptions should be named with Error* prefix + + "C417", # Recommendation to use a generator expression instead of map/lambda function + "E722", # Bare except + + "W505", # noqa comment +] + +# Allow autofix for all enabled rules (when `--fix`) is provided. +fixable = ["A", "ANN", "B", "E", "F", "N", "Q", "W", "S", "I"] +unfixable = ["F841"] + +# Exclude a variety of commonly ignored directories. +exclude = [ + ".bzr", + ".direnv", + ".eggs", + ".git", + ".hg", + ".mypy_cache", + ".nox", + ".pants.d", + ".pytype", + ".ruff_cache", + ".svn", + ".tox", + ".venv", + "__pypackages__", + "_build", + "buck-out", + "build", + "dist", + "node_modules", + "venv", + "__pycache__", + "*.md", +] + +# Allow unused variables when underscore-prefixed. +dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" + +[tool.ruff.per-file-ignores] +"__init__.py" = ["E402"] + +[tool.ruff.mccabe] +max-complexity = 15 + +[tool.ruff.pydocstyle] +convention = "google" + +[tool.isort] +src_paths = ["docsrag"] +line_length = 120 +multi_line_output = 5 \ No newline at end of file From ea4a6a145c5f20d9191e3aa386e044a9df64d6f9 Mon Sep 17 00:00:00 2001 From: Theo Date: Tue, 23 Jan 2024 00:41:51 +0300 Subject: [PATCH 05/11] formatting --- docsrag/app/chat_app.py | 23 ++++++++++++++++------- docsrag/app/utils.py | 6 +++--- 2 files changed, 19 insertions(+), 10 deletions(-) diff --git a/docsrag/app/chat_app.py b/docsrag/app/chat_app.py index 447a309..e3cd9f4 100644 --- a/docsrag/app/chat_app.py +++ b/docsrag/app/chat_app.py @@ -1,10 +1,17 @@ -import streamlit as st -from dotenv import load_dotenv import json import os -from docsrag.rag.chromadb import read_db, get_retriever -from docsrag.rag.chain import get_chain, retrieve_docs, generate_response, generate_response_stream + +import streamlit as st +from dotenv import load_dotenv + from docsrag.app.utils import upd_sqlite_version +from docsrag.rag.chain import ( + generate_response, + generate_response_stream, + get_chain, + retrieve_docs, +) +from docsrag.rag.chromadb import get_retriever, read_db # Uncomment if truobles with sqlite3 version # More info: https://docs.trychroma.com/troubleshooting#sqlite" @@ -48,7 +55,9 @@ def get_sources(docs): k = st.sidebar.number_input("K docs", value=4, step=1, min_value=1, max_value=10) llm = st.sidebar.selectbox("LLM model", models.keys()) desc = st.sidebar.caption(str(models[llm])) -temperature = st.sidebar.slider("Temperature", value=0.7, step=0.01, min_value=0.0, max_value=1.0) +temperature = st.sidebar.slider( + "Temperature", value=0.7, step=0.01, min_value=0.0, max_value=1.0 +) retriever = get_retriever(st.session_state.vectorstore, k=k) chain = get_chain(retriever, model=llm, temperature=temperature) @@ -92,9 +101,9 @@ def get_sources(docs): # Add a blinking cursor to simulate typing message_placeholder.markdown(response + "▌") message_placeholder.markdown(response) - + response = references + "\n\n" + response # Add user message to chat history st.session_state.messages.append({"role": "user", "content": prompt}) # Add assistant response to chat history - st.session_state.messages.append({"role": "assistant", "content": response}) \ No newline at end of file + st.session_state.messages.append({"role": "assistant", "content": response}) diff --git a/docsrag/app/utils.py b/docsrag/app/utils.py index 8ad3b6f..10b8a1b 100644 --- a/docsrag/app/utils.py +++ b/docsrag/app/utils.py @@ -1,7 +1,7 @@ -from importlib import import_module import sys +from importlib import import_module -def upd_sqlite_version(): +def upd_sqlite_version() -> None: import_module("pysqlite3") - sys.modules['sqlite3'] = sys.modules.pop('pysqlite3') \ No newline at end of file + sys.modules["sqlite3"] = sys.modules.pop("pysqlite3") From b7e1eacae9952029d65a4507f509ebaa300500fe Mon Sep 17 00:00:00 2001 From: Theo Date: Tue, 23 Jan 2024 00:52:48 +0300 Subject: [PATCH 06/11] fix warning --- docsrag/rag/chromadb.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docsrag/rag/chromadb.py b/docsrag/rag/chromadb.py index 0477822..8dfd505 100644 --- a/docsrag/rag/chromadb.py +++ b/docsrag/rag/chromadb.py @@ -1,5 +1,5 @@ -from langchain.embeddings import HuggingFaceEmbeddings from langchain.vectorstores.chroma import Chroma +from langchain_community.embeddings import HuggingFaceEmbeddings def build_db(docs, persist_directory): @@ -29,4 +29,4 @@ def read_db(persist_directory): def get_retriever(vectorstore, k): retriever = vectorstore.as_retriever(search_kwargs={"k": k}) - return retriever \ No newline at end of file + return retriever From 05b87efca943853e31d738c2e0d3876069bd0677 Mon Sep 17 00:00:00 2001 From: Theo Date: Tue, 23 Jan 2024 15:34:36 +0300 Subject: [PATCH 07/11] format --- docsrag/app/chat_app.py | 4 +--- docsrag/rag/chain.py | 14 +++++++------- docsrag/rag/docs_reader.py | 2 +- 3 files changed, 9 insertions(+), 11 deletions(-) diff --git a/docsrag/app/chat_app.py b/docsrag/app/chat_app.py index e3cd9f4..6c51ebb 100644 --- a/docsrag/app/chat_app.py +++ b/docsrag/app/chat_app.py @@ -55,9 +55,7 @@ def get_sources(docs): k = st.sidebar.number_input("K docs", value=4, step=1, min_value=1, max_value=10) llm = st.sidebar.selectbox("LLM model", models.keys()) desc = st.sidebar.caption(str(models[llm])) -temperature = st.sidebar.slider( - "Temperature", value=0.7, step=0.01, min_value=0.0, max_value=1.0 -) +temperature = st.sidebar.slider("Temperature", value=0.7, step=0.01, min_value=0.0, max_value=1.0) retriever = get_retriever(st.session_state.vectorstore, k=k) chain = get_chain(retriever, model=llm, temperature=temperature) diff --git a/docsrag/rag/chain.py b/docsrag/rag/chain.py index f84b638..3ebf1c6 100644 --- a/docsrag/rag/chain.py +++ b/docsrag/rag/chain.py @@ -1,11 +1,11 @@ from operator import itemgetter from typing import Sequence -from langchain_openai import ChatOpenAI from langchain.prompts import ChatPromptTemplate from langchain.schema.document import Document from langchain.schema.output_parser import StrOutputParser from langchain.schema.runnable.passthrough import RunnableAssign +from langchain_openai import ChatOpenAI # After the retriever fetches documents, this @@ -45,12 +45,12 @@ def get_chain(retriever, model="gpt-3.5-turbo-1106", temperature=0.7): Here are texts from Superivsely SDK documentation: {context} Answer questions based on the provided texts. If provided texts are not relevant, mention it to the user and answer based on your knowledge. - """ + """, ), ( "human", """The question is: - {question}""" + {question}""", ), ] ) @@ -67,9 +67,9 @@ def get_chain(retriever, model="gpt-3.5-turbo-1106", temperature=0.7): chain = ( RunnableAssign( { - "context": (itemgetter("question") | retriever | format_docs).with_config( - run_name="FormatDocs" - ) + "context": ( + itemgetter("question") | retriever | format_docs + ).with_config(run_name="FormatDocs") } ) # The "RunnableAssign" above returns a dict with keys @@ -93,4 +93,4 @@ def generate_response(chain, prompt): def generate_response_stream(chain, prompt): response_stream = chain.stream({"question": prompt}) - return response_stream \ No newline at end of file + return response_stream diff --git a/docsrag/rag/docs_reader.py b/docsrag/rag/docs_reader.py index 85857e0..66a53e0 100644 --- a/docsrag/rag/docs_reader.py +++ b/docsrag/rag/docs_reader.py @@ -1,5 +1,5 @@ -from langchain_community.document_loaders import DirectoryLoader, TextLoader from langchain.text_splitter import RecursiveCharacterTextSplitter +from langchain_community.document_loaders import DirectoryLoader, TextLoader def read_docs(docs_path, glob="**/*.md", loader_cls=TextLoader, chunk_size=4000, chunk_overlap=500): From 9b6dd755b026aafa5d1c3e1f92dcf25752719495 Mon Sep 17 00:00:00 2001 From: Theo Date: Sat, 27 Jan 2024 05:30:22 +0300 Subject: [PATCH 08/11] added settings, loading and folder selection --- .vscode/launch.json | 16 ++++++++- chat_app_v1.py => docsrag/app/chat_app_v1.py | 28 +++++++++++++++- docsrag/rag/docs_reader.py | 35 ++++++++++++++++++++ poetry.lock | 17 +++++++++- pyproject.toml | 2 ++ 5 files changed, 95 insertions(+), 3 deletions(-) rename chat_app_v1.py => docsrag/app/chat_app_v1.py (63%) diff --git a/.vscode/launch.json b/.vscode/launch.json index ed22eda..d8e8858 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -5,7 +5,7 @@ "version": "0.2.0", "configurations": [ { - "name": "Streamlit", + "name": "Supervisely", "type": "python", "request": "launch", "module": "streamlit", @@ -17,6 +17,20 @@ "env": { "STREAMLIT_SERVER_PORT": "8501" }, + }, + { + "name": "App v1", + "type": "python", + "request": "launch", + "module": "streamlit", + "console": "integratedTerminal", + "args": [ + "run", + "docsrag/app/chat_app_v1.py" + ], + "env": { + "STREAMLIT_SERVER_PORT": "8501" + }, } ] } diff --git a/chat_app_v1.py b/docsrag/app/chat_app_v1.py similarity index 63% rename from chat_app_v1.py rename to docsrag/app/chat_app_v1.py index 59672cb..6652bec 100644 --- a/chat_app_v1.py +++ b/docsrag/app/chat_app_v1.py @@ -1,6 +1,10 @@ import streamlit as st import time +from streamlit_tree_select import tree_select + +from docsrag.rag.docs_reader import docs_tree + # Function to simulate chatbot response (to be replaced with actual retrieval logic) def get_bot_response(user_input): time.sleep(1) # Simulating processing time @@ -22,6 +26,16 @@ def send_message(): # Rerun the app to update the chat display # st.experimental_rerun() + +def load_files_tree(url: str): + name = url.split("/")[-1] + path = f"./{name}" + nodes = docs_tree(url, path) + st.session_state.nodes = [{"label": name, "value": path, "children": nodes}] + + +st.session_state.nodes = [] + st.title("Retrieval Chatbot") # Chat history is stored in a session state to persist over reruns @@ -29,9 +43,22 @@ def send_message(): st.session_state.chat_history = [] # Layout: Chat display area and Input area +expandable_settings = st.expander("Settings") chat_container = st.container() input_container = st.container() +with expandable_settings: + url_input = st.text_input("Enter docs URL", placeholder="https://github.com/tiangolo/fastapi") + if url_input: + load_files_tree(url_input) + with st.form("select_data"): + selected_data = tree_select(st.session_state.nodes) + load_new_data_button = st.form_submit_button("Upload") + + if load_new_data_button: + text_files = [p for p in selected_data['checked'] if p.endswith(".md")] + print(text_files) + # Chat display area with chat_container: for i, message in enumerate(st.session_state.chat_history): @@ -44,4 +71,3 @@ def send_message(): # Input area - with user input and send button # with input_container: user_input = st.chat_input(placeholder="Type your message here...", key="input", on_submit=send_message) - diff --git a/docsrag/rag/docs_reader.py b/docsrag/rag/docs_reader.py index 66a53e0..ff43154 100644 --- a/docsrag/rag/docs_reader.py +++ b/docsrag/rag/docs_reader.py @@ -1,3 +1,8 @@ +import os + +from pathlib import Path +from typing import List, Union +from git import Repo from langchain.text_splitter import RecursiveCharacterTextSplitter from langchain_community.document_loaders import DirectoryLoader, TextLoader @@ -8,3 +13,33 @@ def read_docs(docs_path, glob="**/*.md", loader_cls=TextLoader, chunk_size=4000, text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap) splits = text_splitter.split_documents(docs) return splits + + +def docs_tree(url: str, repo_path: Union[str, Path], file_suffix: str = ".md"): + if not os.path.exists(repo_path): + Repo.clone_from(url, repo_path) + return _make_tree(repo_path, file_suffix) + + +def _make_tree(cur_path: Union[str, Path], suffix: str) -> List[dict]: + tree = [] + cur_path = Path(cur_path) + for element in cur_path.iterdir(): + abs_path = str(element.absolute()) + if element.is_dir(): + tree.append( + { + "label": element.name, + "value": abs_path, + "children": _make_tree(element, suffix) + } + ) + elif element.suffix == suffix: + tree.append( + { + "label": element.stem, + "value": abs_path, + } + ) + + return tree diff --git a/poetry.lock b/poetry.lock index b4078d7..e38122d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -4268,6 +4268,21 @@ watchdog = {version = ">=2.1.5", markers = "platform_system != \"Darwin\""} [package.extras] snowflake = ["snowflake-connector-python 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requires = ["poetry-core"] From 800e2bd80548eaa523339c14fb2d3a2f99060e3e Mon Sep 17 00:00:00 2001 From: Theo Date: Sun, 4 Feb 2024 20:31:43 +0300 Subject: [PATCH 10/11] vectorstore preparing --- docsrag/app/chat_app_v1.py | 25 +++++++++++++++++++++++-- docsrag/app/utils.py | 23 +++++++++++++++++++++++ docsrag/rag/docs_reader.py | 14 ++++++++++++++ 3 files changed, 60 insertions(+), 2 deletions(-) diff --git a/docsrag/app/chat_app_v1.py b/docsrag/app/chat_app_v1.py index 6652bec..da7ac2a 100644 --- a/docsrag/app/chat_app_v1.py +++ b/docsrag/app/chat_app_v1.py @@ -1,9 +1,17 @@ import streamlit as st import time +import hashlib +from pathlib import Path from streamlit_tree_select import tree_select -from docsrag.rag.docs_reader import docs_tree +from docsrag.rag.docs_reader import docs_tree, copy_files_to_folder_if_not_exists +from docsrag.app.utils import prepare_vectorstore, hash_from_str_list, upd_sqlite_version + + +# Uncomment if truobles with sqlite3 version +# More info: https://docs.trychroma.com/troubleshooting#sqlite" +upd_sqlite_version() # Function to simulate chatbot response (to be replaced with actual retrieval logic) def get_bot_response(user_input): @@ -47,17 +55,30 @@ def load_files_tree(url: str): chat_container = st.container() input_container = st.container() + +# prepare vectorstore with expandable_settings: url_input = st.text_input("Enter docs URL", placeholder="https://github.com/tiangolo/fastapi") if url_input: load_files_tree(url_input) + name = st.session_state.nodes[0]["label"] + with st.form("select_data"): selected_data = tree_select(st.session_state.nodes) load_new_data_button = st.form_submit_button("Upload") if load_new_data_button: text_files = [p for p in selected_data['checked'] if p.endswith(".md")] - print(text_files) + cur_hash = hash_from_str_list(text_files) + hash_name = f"{name}_{cur_hash}" + raw_data_path = Path(".") / hash_name / "raw_data" + # insert loading a bar somehow + with st.spinner("Preparing files..."): + copy_files_to_folder_if_not_exists( + src_files=text_files, dst=raw_data_path + ) + with st.spinner("Preparing vectorstore..."): + vectorstore = prepare_vectorstore(hash_name, raw_data_path) # Chat display area with chat_container: diff --git a/docsrag/app/utils.py b/docsrag/app/utils.py index 10b8a1b..5d4ef89 100644 --- a/docsrag/app/utils.py +++ b/docsrag/app/utils.py @@ -1,7 +1,30 @@ +import os +from pathlib import Path import sys +import hashlib from importlib import import_module +from typing import List, Optional +from langchain.vectorstores.chroma import Chroma + +from docsrag.rag.docs_reader import read_docs +from docsrag.rag.chromadb import read_db, build_db def upd_sqlite_version() -> None: import_module("pysqlite3") sys.modules["sqlite3"] = sys.modules.pop("pysqlite3") + + +def prepare_vectorstore(name: str, docs_path: Optional[str] = None, device: Optional[int] = None) -> Chroma: + if (Path(".") / name / "chroma.sqlite3").exists(): + return read_db(persist_directory=name, device=device) + elif docs_path is None: + raise ValueError(f"docs_path can't be None: vectorstore {name} doesn't exists.") + + splits = read_docs(docs_path) + return build_db(splits, name, device) + + +def hash_from_str_list(strings: List[str]) -> str: + enc_strings = map(str.encode, strings) + return hashlib.sha256(b"".join(enc_strings)).hexdigest() \ No newline at end of file diff --git a/docsrag/rag/docs_reader.py b/docsrag/rag/docs_reader.py index ff43154..460222a 100644 --- a/docsrag/rag/docs_reader.py +++ b/docsrag/rag/docs_reader.py @@ -1,4 +1,5 @@ import os +import shutil from pathlib import Path from typing import List, Union @@ -21,6 +22,19 @@ def docs_tree(url: str, repo_path: Union[str, Path], file_suffix: str = ".md"): return _make_tree(repo_path, file_suffix) +def copy_files_to_folder_if_not_exists(src_files: List[str], dst: Union[str, Path]): + if isinstance(dst, str): + dst = Path(dst) + dst.mkdir(parents=True, exist_ok=True) + + for file in src_files: + filepath = Path(file) + filename = filepath.name + if not (dst / filename).exists(): + print(f"COPY FILE: {file}") + shutil.copyfile(file, dst / filename) + + def _make_tree(cur_path: Union[str, Path], suffix: str) -> List[dict]: tree = [] cur_path = Path(cur_path) From e187972055003fe8b4452d7d4fc764742bf870d9 Mon Sep 17 00:00:00 2001 From: Theo Date: Sun, 4 Feb 2024 20:32:04 +0300 Subject: [PATCH 11/11] optional device argument added --- docsrag/rag/chromadb.py | 19 +++++++++++++++---- 1 file changed, 15 insertions(+), 4 deletions(-) diff --git a/docsrag/rag/chromadb.py b/docsrag/rag/chromadb.py index 8dfd505..19b9237 100644 --- a/docsrag/rag/chromadb.py +++ b/docsrag/rag/chromadb.py @@ -1,11 +1,17 @@ +from typing import Optional from langchain.vectorstores.chroma import Chroma from langchain_community.embeddings import HuggingFaceEmbeddings -def build_db(docs, persist_directory): +def build_db(docs, persist_directory, device: Optional[int] = None) -> Chroma: + model_kwargs={} + + if device is not None: + model_kwargs["device"] = device + embeddings = HuggingFaceEmbeddings( model_name="thenlper/gte-base", - model_kwargs={"device": 0}, # Comment out to use CPU + model_kwargs=model_kwargs, ) vectorstore = Chroma( embedding_function=embeddings, @@ -15,10 +21,15 @@ def build_db(docs, persist_directory): return vectorstore -def read_db(persist_directory): +def read_db(persist_directory, device: Optional[int] = None) -> Chroma: + model_kwargs={} + + if device is not None: + model_kwargs["device"] = device + embeddings = HuggingFaceEmbeddings( model_name="thenlper/gte-base", - model_kwargs={"device": 0}, # Comment out to use CPU + model_kwargs=model_kwargs, ) vectorstore = Chroma( embedding_function=embeddings,