dsmueller commited on
Commit
61d4a41
1 Parent(s): ef72e49

Update Start.py with improved chatbot description and instructions

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  1. scripts/Start.py +8 -9
scripts/Start.py CHANGED
@@ -8,23 +8,22 @@ st.set_page_config(
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  st.title("Aerospace Chatbot Homepage")
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  st.markdown("Code base: https://github.com/dsmueller3760/aerospace_chatbot/tree/rag_study")
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  st.markdown('---')
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- st.title("Chatbots")
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  st.markdown("""
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- Chatbots for aerospace mechanisms symposia, using all available papers published since 2000
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- * Modular version meant to study retrieval methods
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  """)
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  st.subheader("Running Locally")
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  '''
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  It is recommended to run this streamlit app locally for improved performance. The hosted hugging face version is for proof of concept.
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  You must have poetry installed locally to manage depdenencies. To run locally, clone the repository and run the following commands.
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- ```poetry config virtualenvs.in-project true
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- ```poetry install
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- ```source .venv/bin/activate
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- ```cd ./scripts
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- ```streamlit run Start.py
 
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  '''
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- st.subheader("AMS")
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  '''
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  This chatbot will look up from all Aerospace Mechanism Symposia in the following location: https://github.com/dsmueller3760/aerospace_chatbot/tree/main/data/AMS
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  * Available models: https://platform.openai.com/docs/models
 
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  st.title("Aerospace Chatbot Homepage")
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  st.markdown("Code base: https://github.com/dsmueller3760/aerospace_chatbot/tree/rag_study")
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  st.markdown('---')
 
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  st.markdown("""
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+ This space contains chatbots and tools for exploring data in the aerospace mechanisms symposia, using all available papers published since 2000.
 
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  """)
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  st.subheader("Running Locally")
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  '''
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  It is recommended to run this streamlit app locally for improved performance. The hosted hugging face version is for proof of concept.
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  You must have poetry installed locally to manage depdenencies. To run locally, clone the repository and run the following commands.
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+
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+ poetry config virtualenvs.in-project true
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+ poetry install
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+ source .venv/bin/activate
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+ cd ./scripts
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+ streamlit run Start.py
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  '''
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+ st.subheader("Aerospace Mechanisms Symposia (AMS)")
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  '''
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  This chatbot will look up from all Aerospace Mechanism Symposia in the following location: https://github.com/dsmueller3760/aerospace_chatbot/tree/main/data/AMS
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  * Available models: https://platform.openai.com/docs/models