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Parent(s):
0644c3a
Upload Job_Hunting_Bot.py
Browse files- pages/Job_Hunting_Bot.py +85 -0
pages/Job_Hunting_Bot.py
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import streamlit as st
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from utils import *
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import constants
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# Creating Session State Variable
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if 'HuggingFace_API_Key' not in st.session_state:
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st.session_state['HuggingFace_API_Key'] =''
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if 'Pinecone_API_Key' not in st.session_state:
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st.session_state['Pinecone_API_Key'] =''
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#
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st.title('π€ AI Assistance For Website')
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#********SIDE BAR Funtionality started*******
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# Sidebar to capture the API keys
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st.sidebar.title("πποΈ")
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st.session_state['HuggingFace_API_Key']= st.sidebar.text_input("What's your HuggingFace API key?",type="password")
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st.session_state['Pinecone_API_Key']= st.sidebar.text_input("What's your Pinecone API key?",type="password")
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load_button = st.sidebar.button("Load data to Pinecone", key="load_button")
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#If the bove button is clicked, pushing the data to Pinecone...
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if load_button:
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#Proceed only if API keys are provided
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if st.session_state['HuggingFace_API_Key'] !="" and st.session_state['Pinecone_API_Key']!="" :
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#Fetch data from site
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site_data=get_website_data(constants.WEBSITE_URL)
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st.write("Data pull done...")
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#Split data into chunks
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chunks_data=split_data(site_data)
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st.write("Spliting data done...")
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#Creating embeddings instance
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embeddings=create_embeddings()
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st.write("Embeddings instance creation done...")
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#Push data to Pinecone
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push_to_pinecone(st.session_state['Pinecone_API_Key'],constants.PINECONE_ENVIRONMENT,constants.PINECONE_INDEX,embeddings,chunks_data)
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st.write("Pushing data to Pinecone done...")
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st.sidebar.success("Data pushed to Pinecone successfully!")
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else:
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st.sidebar.error("Ooopssss!!! Please provide API keys.....")
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#********SIDE BAR Funtionality ended*******
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#Captures User Inputs
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prompt = st.text_input('How can I help you my friend β',key="prompt") # The box for the text prompt
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document_count = st.slider('No.Of links to return π - (0 LOW || 5 HIGH)', 0, 5, 2,step=1)
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submit = st.button("Search")
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if submit:
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#Proceed only if API keys are provided
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if st.session_state['HuggingFace_API_Key'] !="" and st.session_state['Pinecone_API_Key']!="" :
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#Creating embeddings instance
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embeddings=create_embeddings()
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st.write("Embeddings instance creation done...")
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#Pull index data from Pinecone
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index=pull_from_pinecone(st.session_state['Pinecone_API_Key'],constants.PINECONE_ENVIRONMENT,constants.PINECONE_INDEX,embeddings)
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st.write("Pinecone index retrieval done...")
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#Fetch relavant documents from Pinecone index
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relavant_docs=get_similar_docs(index,prompt,document_count)
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#st.write(relavant_docs)
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#Displaying search results
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st.success("Please find the search results :")
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#Displaying search results
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st.write("search results list....")
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for document in relavant_docs:
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st.write("π**Result : "+ str(relavant_docs.index(document)+1)+"**")
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st.write("**Info**: "+document.page_content)
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st.write("**Link**: "+ document.metadata['source'])
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else:
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st.sidebar.error("Ooopssss!!! Please provide API keys.....")
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