Front-end: The user submits an input prompt (by providing a string of text to the text box via st.text_input()), and the app generates a response.

In subsequent sections, you will modify the contents of this file with code snippets about the chatbot.įinally, before proceeding with app building, let's take a look at how the user will interact with it: Let's take a look at the contents of streamlit_app.py: import streamlit as st This will spin up a server with these prerequisites pre-installed. When done, you should be able to see the deployed app:Įdit the requirements.txt file by adding the following prerequisite Python libraries: streamlit Next, follow this blog post to get the newly cloned repo deployed on the Streamlit Community Cloud. Next, click 'Create repository from the template.' A copy of the repo will be placed in your account: Give the repo a name (such as mychatbot). Set up the app on the Streamlit Community CloudĬlone the app-starter-kit repo to use as the template for creating the chatbot app. Interact with it by (1) entering your prompt into the text input box and (2) reading the human/bot messages. Head over to the app and get familiar with its layout-(1) the Sidebar accepts the login credential, and (2) the Main panel displays conversational messages: What the HugChat app can doīefore we proceed with the tutorial, let's quickly grasp the app's functionality. Want to jump right in? Here's the HugChat app and the GitHub repo. add_chat ( reply ) root = Tk () Chatbot ( root ) root. Brain ] + ' ' else : reply = 'Iris: ' + 'Cant it in my knowledge base ' self. keys ()) if close_match : reply = 'Iris: ' + self. lower () message = 'you: ' + message + ' ' close_match = get_close_matches ( message, self.

config ( state = 'disabled' ) def reply_to_you ( self, event = None ): message = self. load ( open ( 'knowledge.json' )) def add_chat ( self, message ): self.

Message_Entry = Entry ( window, width = 40, font = ( 'Times', 12 )) self. send_button = Button ( window, text = 'send', fg = 'white', bg = 'blue', width = 9, font = ( 'Times', 12 ), relief = 'flat', command = self. overscroll = Scrollbar ( window, command = self. config ( width = 45, height = 15, bg = '#596', fg = 'white', state = 'disabled' ) self.

message_session = Text ( window, bd = 3, relief = 'flat', font = ( 'Times', 10 ), undo = True, wrap = 'word' ) self. Import json from difflib import get_close_matches from tkinter import Tk, Label, Entry, Button, Text, Scrollbar, Frame class Chatbot : def _init_ ( self, window ): window. load ( open ( 'knowledge.json' )) root = Tk () Chatbot ( root ) root. send_button = Button ( window, text = 'send', fg = 'white', bg = 'blue', width = 9, font = ( 'Times', 12 ), relief = 'flat' ) self.

Python create chatbot