mery22 commited on
Commit
7ec30f5
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1 Parent(s): d0f636a

Update app.py

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Files changed (1) hide show
  1. app.py +1 -26
app.py CHANGED
@@ -1,7 +1,6 @@
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  import os
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- import psycopg2
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  import streamlit as st
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- from datetime import datetime
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  from langchain_community.vectorstores import FAISS
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  from langchain_community.embeddings import HuggingFaceEmbeddings
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  from langchain_huggingface import HuggingFaceEndpoint
@@ -68,30 +67,6 @@ qa = RetrievalQA.from_chain_type(
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  chain_type_kwargs={"prompt": prompt},
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  )
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-
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-
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- def chatbot_response(user_input):
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- response = qa.run(user_input)
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- return response
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-
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- # Create columns for logos
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- col1, col2, col3 = st.columns([2, 3, 2])
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-
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- with col1:
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- st.image("Design 3_22.png", width=150, use_column_width=True)
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-
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- with col3:
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- st.image("Altereo logo 2023 original - eau et territoires durables.png", width=150, use_column_width=True)
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-
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-
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-
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- st.markdown('<h3 class="centered-text">🤖 AlteriaChat 🤖 </h3>', unsafe_allow_html=True)
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- st.markdown('<p class="centered-orange-text">"Votre Réponse à Chaque Défi Méthodologique "</p>', unsafe_allow_html=True)
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-
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- # Input and button for user interaction
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- user_input = st.text_input("You:", "")
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- submit_button = st.button("Ask 📨")
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-
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  import psycopg2
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  import streamlit as st
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  from datetime import datetime
 
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  import os
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+ import csv
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  import streamlit as st
 
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  from langchain_community.vectorstores import FAISS
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  from langchain_community.embeddings import HuggingFaceEmbeddings
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  from langchain_huggingface import HuggingFaceEndpoint
 
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  chain_type_kwargs={"prompt": prompt},
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  )
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  import psycopg2
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  import streamlit as st
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  from datetime import datetime