import streamlit as st from layouts.mainlayout import mainlayout @mainlayout def home(): st.subheader("Code documentation tool that works in your IDE like magic!") def changestate(*args): st.session_state[args[0]]=True tab1, tab2, tab3 = st.tabs(["About our CLI πͺ", "Mechanics π οΈ", "LLMs toolkit ποΈ"]) with tab1: st.markdown('### <div align="center">:green[Our CLI Tool π§βπ»]</div>',unsafe_allow_html=True) st.markdown('##### <div align="center">:blue[Techdocs CLI] provides a simple and easy to use interface to generate documentation for your :blue[code].</div>',unsafe_allow_html=True) col1, col3, col2 = st.columns([4,0.1,2]) with col1: st.image("frontend/images/techdocs.png") with col2: st.checkbox("##### User friendly commands\n β Easy to follow commands to generate documentation for your code.",value=True,key="feature1_a",on_change=changestate,args=("feature1_a",)) st.checkbox("##### Your workbench at one place\n β Access all commands within our CLI. No need to search the app.",value=True,key="feature1_b",on_change=changestate,args=("feature1_b",)) st.checkbox("##### Generated documentation will be directly embedded into your functions\n β No need to manually copy paste the documentation.",value=True,key="feature1_c",on_change=changestate,args=("feature1_c",)) with tab2: st.markdown('### <div align="center">:green[API behind the Scenes βοΈ]</div>',unsafe_allow_html=True) st.markdown('#### <div align="center">:blue[CLI] uses the power of our API allowing you to access sophisticated :blue[LLM] tools effortlessly. This :blue[microservice] is deployed separately abstracting undelying complexities and providing lightweight web app and CLI </div>',unsafe_allow_html=True) col1, col3, col2 = st.columns([4,0.1,2]) with col1: st.image("frontend/images/backendss.png") with col2: st.checkbox("##### API uses the magic of FastAPIβ‘\nβ FastAPI is a modern, fast (high-performance), web framework for building APIs with Python.",value=True,key="backend_a",on_change=changestate,args=("backend_a",)) st.checkbox("##### Deployed on Huggingface Spaces π€\nβ Minimal user-percieved latency.",value=True,key="backend_b",on_change=changestate,args=("backend_b",)) st.checkbox("##### Cloud Databases βοΈ\n β Powered by Microsoft Azure SQL",value=True,key="backend_c",on_change=changestate,args=("backend_c",)) with tab3: st.markdown('### <div align="center">:green[Large Language Models π¦]</div>',unsafe_allow_html=True) st.markdown('#### <div align="center">Combines the power of Langchain and Clarifai</div>',unsafe_allow_html=True) col1, col3, col2 = st.columns([4,0.1,2]) with col1: st.image("frontend/images/llms.png") with col2: st.checkbox('##### WizardLM-70B at its core π§ββοΈ.\nβ Uses WizardLM-70B LLM as an endpoint provided by Clarifiai.',value=True,key="llm_a",on_change=changestate,args=("llm_a",)) st.checkbox("##### Application developed using Langchain π¦.\nβ LangChain is a framework for developing applications powered by language models.", value=True,key="llm_b",on_change=changestate,args=("llm_b",)) st.markdown("## <div align='center'>Techdocs Architecture</div>",unsafe_allow_html=True) st.image("frontend/images/architecture.png")