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app.py

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+import streamlit as st
+#import your_module  # Replace this with the name of the Python file containing your existing code
+
+# Playing with the new Open AI API : gpt-4
+#importing dependencies
+import langchain
+import openai
+from langchain.chat_models import ChatOpenAI
+from langchain import PromptTemplate
+from langchain.prompts.chat import (
+    ChatPromptTemplate,
+    SystemMessagePromptTemplate,
+    AIMessagePromptTemplate,
+    HumanMessagePromptTemplate,
+)
+import os
+from langchain.vectorstores import Chroma, Pinecone
+from langchain.embeddings.openai import OpenAIEmbeddings
+import pinecone
+import os
+from langchain.chains.qa_with_sources import load_qa_with_sources_chain
+from langchain.embeddings import HuggingFaceEmbeddings
+from langchain.embeddings import HuggingFaceEmbeddings, SentenceTransformerEmbeddings
+from supabase.client import Client, create_client
+from langchain.vectorstores import SupabaseVectorStore
+
+st.title("Rev79 Knowledge Base Assistant")
+# Language selection
+languages = [
+    "English",
+    "Mandarin Chinese",
+    "Spanish",
+    "Hindi",
+    "Arabic",
+    "Portuguese",
+    "Bengali",
+    "Russian",
+    "Japanese",
+    "French",
+    "Indonesian",
+    "German",
+    "Korean",
+    "Turkish"
+]
+
+selected_language = st.selectbox("Select language:", languages)
+
+# Input question
+question = st.text_input("Enter your question:")
+ 
+system_template = """
+    You are a helpful AI Assistant. Use the following pieces of context to answer the user's question. 
+    If you don't know the answer, just say that you don't know. Don't try to make up an answer.
+    Question are related to how project managemnet software works. The documentation seeks to help users naviagte and use the software.
+    Do not include "https://rev79" as a source. Source will always be longer URLs, for example, 
+    "https://rev79.freshdesk.com/en/support/solutions/articles/47001227676"
+    Answer the question in the following language, {language}. You have to include the "SOURCES" at all times regardless of the language used.
+    Translate the word "SOURCES" in the language that is being used and make sure the "SOURCES" are in a new line.
+    
+    Example:
+ 
+    ```
+    Question: What is Rev79?
+    
+    Answer: Rev79 is a project management platform named after God's promise in Revelation 7:9 of all languages communities being included in his eternal purpose
+    of blessing and recreation. The platform aims to help organizations, teams, and communities move forward towards this vision by providing tools for 
+    managing projects and facilitating Bible translation and integral mission in all language communities. Rev79 can be used to envision, organize, collaborate, 
+    and transform projects and activities.
+    
+    SOURCES: 
+    - https://rev79.freshdesk.com/en/support/solutions/articles/47001223622-what-is-the-rev79-app-where-did-it-come-from-
+    ```
+     ----------------
+    {summaries}"""
+    
+# Submit button
+
+if st.button("Submit"):
+    # Call the function from your_module with the selected language and question
+    OPENAI_API_KEY = st.secrets["OPENAI_API_KEY"]
+    PINECONE_API_KEY = st.secrets["PINECONE_API_KEY"]
+    PINECONE_API_ENV = st.secrets["PINECONE_API_ENV"]
+    supabase_url = st.secrets["SUPABASE_URL"]
+    supabase_key = st.secrets["SUPABASE_KEY"]
+
+    #Use OpenAI's embedding
+    Embeddings = HuggingFaceEmbeddings(model_name='sentence-transformers/stsb-xlm-r-multilingual')    
+
+    # initialize pinecone
+    supabase: Client = create_client(supabase_url, supabase_key)  
+
+    docsearch = SupabaseVectorStore(embedding=Embeddings, table_name='documents', client=supabase)   
+
+    st.markdown("Assistant is typing...")
+
+    messages = [
+        SystemMessagePromptTemplate.from_template(system_template),
+        HumanMessagePromptTemplate.from_template("{question}")
+        #SystemMessage(content=system_message),
+        #HumanMessage(content="{question}")
+    ]
+    prompt = ChatPromptTemplate.from_messages(messages) 
+
+    docs = docsearch.similarity_search(question)
+    chain_type_kwargs = {"prompt": prompt}
+    chain = load_qa_with_sources_chain(
+        ChatOpenAI(model_name="gpt-4", openai_api_key=OPENAI_API_KEY), 
+        chain_type="stuff",
+        prompt=prompt
+    )
+    text = chain({"input_documents": docs, "question": question, "language":selected_language}, return_only_outputs=True)    
+
+    result = text['output_text']  # Replace 'run' with the appropriate function in your module
+    
+    # Display a header
+    st.header("Answer")
+    st.write(result)    
+

requirements.txt

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+langchain
+openai
+streamlit
+pinecone-client
+beautifulsoup4
+sentence_transformers
+supabase