Create app.py

app.py

@@ -0,0 +1,29 @@
+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(model, [input], text_output)