Update app.py

app.py

@@ -0,0 +1,91 @@
+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.....")