Update app.py

app.py

@@ -18,8 +18,8 @@ st.title('🤖 AI Assistance For Website')
 st.sidebar.title("😎🗝️")
 st.session_state['Website_URL']= st.sidebar.text_input("Input the Website URL you want to Query against?")
 st.session_state['HuggingFace_API_Key']= st.sidebar.text_input("What's your HuggingFace API key?",type="password")
-st.session_state['Pinecone_ENV']= st.sidebar.text_input("What's your Pinecone Environment?")
 st.session_state['Pinecone_Index']= st.sidebar.text_input("What's your Pinecone Index?")
+st.session_state['Pinecone_ENV']= st.sidebar.text_input("What's your Pinecone Environment?")
 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")
@@ -30,7 +30,7 @@ if load_button:
     if st.session_state['Website_URL'] !="" and st.session_state['HuggingFace_API_Key'] !="" and st.session_state['Pinecone_ENV'] !="" and st.session_state['Pinecone_API_Key']!="" :
 
         #Fetch data from site
-        site_data=get_website_data(constants.WEBSITE_URL)
+        site_data=get_website_data(st.session_state['Website_URL'])
         st.write("Data pull done...")
 
         #Split data into chunks
@@ -60,14 +60,14 @@ 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']!="" :
+    if st.session_state['Website_URL'] !="" and st.session_state['HuggingFace_API_Key'] !="" and st.session_state['Pinecone_ENV'] !="" 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)
+        index=pull_from_pinecone(st.session_state['Pinecone_API_Key'],st.session_state['Pinecone_ENV'],st.session_state['Pinecone_Index'],embeddings)
         st.write("Pinecone index retrieval done...")
 
         #Fetch relavant documents from Pinecone index