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Upload 3 files
Browse files- app.py +100 -38
- common.py +27 -4
- requirements.txt +3 -1
app.py
CHANGED
@@ -1,4 +1,3 @@
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import streamlit as st
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import os
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import pickle
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@@ -19,9 +18,47 @@ from llama_index.graph_stores import SimpleGraphStore
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from llama_index.storage.docstore import SimpleDocumentStore
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from llama_index.storage.index_store import SimpleIndexStore
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import tiktoken
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import
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from
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index_name = "./data/storage"
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pkl_name = "./data/stored_documents.pkl"
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@@ -51,14 +88,13 @@ def initialize_index():
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, chunk_overlap=DEFAULT_CHUNK_OVERLAP
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, tokenizer=tiktoken.encoding_for_model("gpt-3.5-turbo").encode)
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node_parser = SimpleNodeParser(text_splitter=text_splitter)
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service_context = ServiceContext.from_defaults(node_parser=node_parser)
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d = 1536
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k=2
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faiss_index = faiss.IndexFlatL2(d)
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# デバッグ用
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llama_debug_handler = LlamaDebugHandler()
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callback_manager = CallbackManager([llama_debug_handler])
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service_context = ServiceContext.from_defaults(callback_manager=callback_manager)
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lock = Lock()
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with lock:
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if os.path.exists(index_name):
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@@ -69,9 +105,8 @@ def initialize_index():
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index_store=SimpleIndexStore.from_persist_dir(persist_dir=index_name),
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)
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st.session_state.index = load_index_from_storage(storage_context=storage_context,service_context=service_context)
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# index = load_index_from_storage(StorageContext.from_defaults(persist_dir=index_name), service_context=service_context)
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response_synthesizer = get_response_synthesizer(response_mode='refine')
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st.session_state.query_engine = st.session_state.index.as_query_engine(response_synthesizer=response_synthesizer)
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st.session_state.chat_engine = CondenseQuestionChatEngine.from_defaults(
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query_engine=st.session_state.query_engine,
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condense_question_prompt=custom_prompt,
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@@ -85,7 +120,7 @@ def initialize_index():
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st.session_state.index = VectorStoreIndex.from_documents(documents, storage_context=storage_context,service_context=service_context)
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st.session_state.index.storage_context.persist(persist_dir=index_name)
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response_synthesizer = get_response_synthesizer(response_mode='refine')
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st.session_state.query_engine = st.session_state.index.as_query_engine(response_synthesizer=response_synthesizer)
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st.session_state.chat_engine = CondenseQuestionChatEngine.from_defaults(
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query_engine=st.session_state.query_engine,
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condense_question_prompt=custom_prompt,
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@@ -98,32 +133,59 @@ def initialize_index():
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else:
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st.session_state.stored_docs=list()
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import streamlit as st
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import os
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import pickle
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from llama_index.storage.docstore import SimpleDocumentStore
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from llama_index.storage.index_store import SimpleIndexStore
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import tiktoken
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import requests
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from requests_oauthlib import OAuth2Session
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from time import time
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from dotenv import load_dotenv
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from streamlit import net_util
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load_dotenv()
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# 接続元制御
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ALLOW_IP_ADDRESS = os.environ["ALLOW_IP_ADDRESS"]
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# Azure AD app registration details
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CLIENT_ID = os.environ["CLIENT_ID"]
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CLIENT_SECRET = os.environ["CLIENT_SECRET"]
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TENANT_ID = os.environ["TENANT_ID"]
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# Azure API
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AUTHORITY = f"https://login.microsoftonline.com/{TENANT_ID}"
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REDIRECT_PATH = os.environ["REDIRECT_PATH"]
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TOKEN_URL = f"{AUTHORITY}/oauth2/v2.0/token"
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AUTHORIZATION_URL = f"{AUTHORITY}/oauth2/v2.0/authorize"
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SCOPES = ["openid", "profile", "User.Read"]
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# 認証用URL取得
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def authorization_request():
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oauth = OAuth2Session(CLIENT_ID, redirect_uri=REDIRECT_PATH, scope=SCOPES)
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authorization_url, state = oauth.authorization_url(AUTHORIZATION_URL)
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return authorization_url, state
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# 認証トークン取得
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def token_request(authorization_response, state):
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oauth = OAuth2Session(CLIENT_ID, state=state)
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token = oauth.fetch_token(
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TOKEN_URL,
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code=authorization_response[0],
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authorization_response=authorization_response,
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client_secret=CLIENT_SECRET,
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)
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return token
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index_name = "./data/storage"
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pkl_name = "./data/stored_documents.pkl"
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, chunk_overlap=DEFAULT_CHUNK_OVERLAP
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, tokenizer=tiktoken.encoding_for_model("gpt-3.5-turbo").encode)
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node_parser = SimpleNodeParser(text_splitter=text_splitter)
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d = 1536
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k=2
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faiss_index = faiss.IndexFlatL2(d)
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# デバッグ用
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llama_debug_handler = LlamaDebugHandler()
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callback_manager = CallbackManager([llama_debug_handler])
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service_context = ServiceContext.from_defaults(node_parser=node_parser,callback_manager=callback_manager)
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lock = Lock()
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with lock:
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if os.path.exists(index_name):
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index_store=SimpleIndexStore.from_persist_dir(persist_dir=index_name),
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)
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st.session_state.index = load_index_from_storage(storage_context=storage_context,service_context=service_context)
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response_synthesizer = get_response_synthesizer(response_mode='refine')
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st.session_state.query_engine = st.session_state.index.as_query_engine(response_synthesizer=response_synthesizer,service_context=service_context)
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st.session_state.chat_engine = CondenseQuestionChatEngine.from_defaults(
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query_engine=st.session_state.query_engine,
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condense_question_prompt=custom_prompt,
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st.session_state.index = VectorStoreIndex.from_documents(documents, storage_context=storage_context,service_context=service_context)
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st.session_state.index.storage_context.persist(persist_dir=index_name)
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response_synthesizer = get_response_synthesizer(response_mode='refine')
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st.session_state.query_engine = st.session_state.index.as_query_engine(response_synthesizer=response_synthesizer,service_context=service_context)
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st.session_state.chat_engine = CondenseQuestionChatEngine.from_defaults(
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query_engine=st.session_state.query_engine,
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condense_question_prompt=custom_prompt,
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else:
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st.session_state.stored_docs=list()
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def logout():
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st.session_state["token"] = None
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st.session_state["token_expires"] = None
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st.session_state["authorization_state"] = None
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# メイン
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def app():
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# 初期化
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st.session_state["token"] = None
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st.session_state["token_expires"] = time()
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st.session_state["authorization_state"] = None
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# 接続元IP許可判定
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if not net_util.get_external_ip() in ALLOW_IP_ADDRESS:
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st.title("HTTP 403 Forbidden")
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return
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# 接続元OK
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st.title("Azure AD Login with Streamlit")
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# 認証後のリダイレクトのGETパラメータ値を取得
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authorization_response = st.experimental_get_query_params().get("code")
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# 認証OK、トークン無し
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if authorization_response and st.session_state["token"] is None:
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# トークン設定
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token = token_request(authorization_response, st.session_state["authorization_state"])
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st.session_state["token"] = token
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st.session_state["token_expires"] = token["expires_at"]
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# トークン無し or 期限切れ
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if st.session_state["token"] is None or float(st.session_state["token_expires"]) <= time():
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# 認証用リンク表示
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authorization_url, st.session_state["authorization_state"] = authorization_request()
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st.markdown(f'[Click here to log in]({authorization_url})', unsafe_allow_html=True)
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else:
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# 認証OK
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st.markdown(f"Logged in successfully. Welcome, {st.session_state['token']['token_type']}!")
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if st.button("logout",use_container_width=True):
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logout()
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st.experimental_set_query_params(test="test")
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st.experimental_rerun()
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st.text("サイドバーから利用するメニューをお選びください。")
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initialize_index()
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if __name__ == "__main__":
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if "token" not in st.session_state or st.session_state["token"] is None or float(st.session_state["token_expires"]) <= time():
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app()
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else:
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st.title("Azure AD Login with Streamlit")
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if st.button("logout",use_container_width=True):
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logout()
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st.experimental_set_query_params(test="test")
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st.experimental_rerun()
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st.text("ログイン済みです。")
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st.text("サイドバーから利用するメニューをお選びください。")
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common.py
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import extra_streamlit_components as stx
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import streamlit as st
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import logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger("__name__")
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logger.debug("調査用ログ")
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#ログインの確認
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def check_login():
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if
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st.
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st.stop()
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import extra_streamlit_components as stx
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import streamlit as st
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import logging
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import os
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from time import time
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from requests_oauthlib import OAuth2Session
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger("__name__")
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logger.debug("調査用ログ")
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# 接続元制御
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ALLOW_IP_ADDRESS = os.environ["ALLOW_IP_ADDRESS"]
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# Azure AD app registration details
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CLIENT_ID = os.environ["CLIENT_ID"]
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TENANT_ID = os.environ["TENANT_ID"]
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# Azure API
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AUTHORITY = f"https://login.microsoftonline.com/{TENANT_ID}"
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REDIRECT_PATH = os.environ["REDIRECT_PATH"]
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AUTHORIZATION_URL = f"{AUTHORITY}/oauth2/v2.0/authorize"
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SCOPES = ["openid", "profile", "User.Read"]
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# 認証用URL取得
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def authorization_request():
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oauth = OAuth2Session(CLIENT_ID, redirect_uri=REDIRECT_PATH, scope=SCOPES)
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authorization_url, state = oauth.authorization_url(AUTHORIZATION_URL)
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return authorization_url, state
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#ログインの確認
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def check_login():
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if "token" not in st.session_state or st.session_state["token"] is None or float(st.session_state["token_expires"]) <= time():
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# 認証用リンク表示
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authorization_url, st.session_state["authorization_state"] = authorization_request()
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st.markdown(f'[Click here to log in]({authorization_url})', unsafe_allow_html=True)
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st.stop()
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requirements.txt
CHANGED
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faiss-cpu==1.7.4
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html2text
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streamlit-authenticator
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extra_streamlit_components
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faiss-cpu==1.7.4
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html2text
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streamlit-authenticator
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extra_streamlit_components
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requests_oauthlib
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python-dotenv
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