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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")
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