app.py

import gradio as gr
from langchain.document_loaders import UnstructuredURLLoader
from langchain.text_splitter import CharacterTextSplitter

def scrap(urls):
  loaders = UnstructuredURLLoader(urls=[urls])
  data = loaders.load()

  # Text Splitter
  text_splitter = CharacterTextSplitter(separator='\n', 
                                        chunk_size=1000, 
                                        chunk_overlap=200)


  docs = text_splitter.split_documents(data)
  return docs

with gr.Blocks() as demo:
    f=0
    gr.Markdown('# <center>INTELLIGENT ANALYSIS OF DOCUMENTS DRIVEN QA CHATBOT</center>')
    input=gr.Textbox(
              label='Enter the website URL',
              placeholder='https://kceai.com/'
          )
    text_button = gr.Button("Build the Bot!!!")
    text_output = gr.Textbox(
              label="Verify the status",
              placeholder="Start Building the Bot to view the content")
    text_button.click(scrap, [input], text_output)

demo.queue().launch(debug = True,
                    auth=("username", "password"),
)