Update app.py

app.py

@@ -77,32 +77,18 @@ def main():
     
     else:
         # Input fields
-        st.markdown("*Your are gonna interact with the below Website:*")
-        st.info("Click on the Start button")
-
-        # Button to pre-process input
-        if st.button("Start"):
-            with st.spinner('Tokenizing and Embedding the Website Data'):
+        question = st.text_input("Question")
+        
+        # Button to process input and get output
+        if st.button('Query Documents'):
+            with st.spinner('Processing...'):
                 # get pdf text
                 raw_text = method_get_website_text(website_url)
                 # get the text chunks
                 doc_splits = method_get_text_chunks(raw_text)
                 # create vector store
                 vector_store = method_get_vectorstore(doc_splits)
-        
-        # Input fields
-        question = st.text_input("Question")
-        
-        # Button to process input and get output
-        if st.button('Query Documents'):
-            with st.spinner('Processing...'):
-                # # get pdf text
-                # raw_text = method_get_website_text(website_url)
-                # # get the text chunks
-                # doc_splits = method_get_text_chunks(raw_text)
-                # # create vector store
-                # vector_store = method_get_vectorstore(doc_splits)
-                # Generate response using the RAG pipeline
+                Generate response using the RAG pipeline
                 answer = get_context_retriever_chain(vector_store,question)
                 # Display the generated answer
                 split_string = "Question: " + str(question)