Spaces:
Sleeping
Sleeping
File size: 3,205 Bytes
f3ce637 9b62ed4 f3ce637 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 |
import streamlit as st
from utils4 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.....") |