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Update app.py
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app.py
CHANGED
@@ -1,5 +1,41 @@
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import os
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import streamlit as st
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@@ -92,7 +128,7 @@ def main():
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if user_question := st.text_input("Ask a question about your documents:"):
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handle_userinput(user_question,
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import os
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import streamlit as st
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from typing_extensions import TypedDict, List
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from IPython.display import Image, display
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain.schema import Document
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from langgraph.graph import START, END, StateGraph
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from langchain.prompts import PromptTemplate
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import uuid
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from langchain_exa import ExaSearchRetriever, TextContentsOptions
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from langchain_groq import ChatGroq
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from langchain_community.utilities import GoogleSerperAPIWrapper
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from langchain_chroma import Chroma
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from langchain_community.document_loaders import NewsURLLoader
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from langchain_community.retrievers.wikipedia import WikipediaRetriever
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from sentence_transformers import SentenceTransformer
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from langchain.vectorstores import Chroma
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from langchain_community.document_loaders import UnstructuredURLLoader, NewsURLLoader
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from langchain_community.embeddings import HuggingFaceEmbeddings
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from langchain.text_splitter import RecursiveCharacterTextSplitter
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from langchain_community.document_loaders import WebBaseLoader
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from langchain_core.output_parsers import StrOutputParser
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from langchain_core.output_parsers import JsonOutputParser
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from langchain_community.vectorstores.utils import filter_complex_metadata
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from langchain.schema import Document
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from langgraph.graph import START, END, StateGraph
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from functions import *
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os.environ["LANGCHAIN_TRACING_V2"] = "true"
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os.environ["LANGCHAIN_ENDPOINT"] = "https://api.langchain.plus"
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os.environ["LANGCHAIN_API_KEY"] = lang_api_key
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os.environ["LANGCHAIN_PROJECT"] = "Lithuanian_Law_RAG_QA"
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os.environ["GROQ_API_KEY"] = groq_api_key
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os.environ["SERPER_API_KEY"] = SERPER_API_KEY
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if user_question := st.text_input("Ask a question about your documents:"):
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handle_userinput(user_question, custom_graph)
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