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import streamlit as st | |
import os | |
# Set up page | |
st.set_page_config( | |
page_title="Aerospace Chatbot: AMS", | |
) | |
st.title("Aerospace Chatbot Homepage") | |
st.markdown("Code base: https://github.com/dsmueller3760/aerospace_chatbot") | |
st.markdown('---') | |
st.title("Chatbots") | |
st.markdown(""" | |
Chatbots for aerospace mechanisms symposia, using all available papers published since 2000 | |
* Aerospace Mechanisms Chatbot, Langchain: Uses langchain QA retrieval https://databutton.com/v/71z0llw3/Aerospace_Mechanisms_Chat_Bot_Langchain | |
* Aerospace Mechanisms Chatbot, Canopy: Uses pinecone's canopy tool https://databutton.com/v/71z0llw3/Aerospace_Mechanisms_Chat_Bot_Canopy | |
""") | |
st.subheader("AMS") | |
''' | |
This chatbot will look up from all Aerospace Mechanism Symposia in the following location: https://github.com/dsmueller3760/aerospace_chatbot/tree/main/data/AMS | |
* Available models: https://platform.openai.com/docs/models | |
* Model parameters: https://platform.openai.com/docs/api-reference/chat/create | |
* Pinecone: https://docs.pinecone.io/docs/projects#api-keys | |
* OpenAI API: https://platform.openai.com/api-keys | |
''' | |
# # Establish secrets | |
# PINECONE_ENVIRONMENT=os.getenv('PINECONE_ENVIRONMENT') | |
# PINECONE_API_KEY=os.getenv('PINECONE_API_KEY') |