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import streamlit as st
from log10.load import log10, log10_session
import openai
@st.cache_resource
def init_log10():
log10(openai)
# Example from: https://python.langchain.com/en/latest/use_cases/question_answering.html
# Download the state_of_the_union.txt here: https://raw.githubusercontent.com/hwchase17/langchain/master/docs/modules/state_of_the_union.txt
# This example requires: pip install chromadb
# Load Your Documents
from langchain.document_loaders import TextLoader
# Create Your Index
from langchain.indexes import VectorstoreIndexCreator
from langchain.vectorstores import Chroma
from langchain.embeddings import OpenAIEmbeddings
from langchain.text_splitter import CharacterTextSplitter
from langchain.chat_models import ChatOpenAI
@st.cache_resource
def init_vector_db():
loader = TextLoader('./state_of_the_union.txt')
index = VectorstoreIndexCreator(
vectorstore_cls=Chroma,
embedding=OpenAIEmbeddings(),
text_splitter=CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
).from_loaders([loader])
return index
init_log10()
index = init_vector_db();
st.title('State of the Union')
query = st.text_input("Question:", "What did the president say about Ketanji Brown Jackson?")
#answer = index.query_with_sources(query, llm=ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo"))
# If you want to combine all queries into a single session can comment the 2 lines below and uncomment the answer=... line above
with log10_session():
answer = index.query_with_sources(query, llm=ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo"))
st.write(answer)
st.markdown('Log, Debug, Trace and Improve your _own_ LLM powered apps:')
st.markdown('1. Clone this space')
st.markdown('2. Create a free account on [log10.io](https://log10.io)')
st.markdown('3. Set the following secrets/env vars:')
st.markdown('- `LOG10_URL=https://log10.io`')
st.markdown('- `LOG10_TOKEN`: From the Settings tab in log10.io')
st.markdown('- `LOG10_ORG_ID`: From the Organization tab in log10.io')
st.markdown('- `OPENAI_API_KEY`: OpenAI API key')
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