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