app.py

import json
import streamlit as st

st.set_page_config(page_title="Self-Learning Chatbot")
st.title("Self-Learning Chatbot")

class ChatBot:
    def __init__(self, knowledge_base_file='knowledge_base.json'):
        self.knowledge_base_file = knowledge_base_file
        self.knowledge_base = self.load_knowledge_base()

    def load_knowledge_base(self):
        """Load knowledge base from the JSON file."""
        try:
            with open(self.knowledge_base_file, "r") as f:
                return json.load(f)
        except FileNotFoundError:
            return {"questions": []}  # Return an empty structure if file does not exist

    def save_knowledge_base(self):
        """Save knowledge base to the JSON file."""
        with open(self.knowledge_base_file, 'w') as f:
            json.dump(self.knowledge_base, f, indent=4)

    def learn_and_respond(self, user_input):
        response = self.find_response(user_input)
        if response is None:
            response = st.text_input(f"I don't have a response for '{user_input}'. Please teach me:", key="response_input")
            if response:  # Only teach a response if something is entered
                self.teach_response(user_input, response)
                st.success("Learned successfully!")

        # Save the updated knowledge base to the JSON file
        self.save_knowledge_base()
        return response

    def find_response(self, user_input):
        user_input = user_input.lower().strip()
        for question in self.knowledge_base.get("questions", []):
            if question['question'].lower() == user_input:
                return question['response']
        return None

    def teach_response(self, user_input, response):
        new_question = {'question': user_input.lower().strip(), 'response': response}
        if 'questions' not in self.knowledge_base:
            self.knowledge_base['questions'] = []
        self.knowledge_base['questions'].append(new_question)

if __name__ == "__main__":
    # Initialize the chatbot with the JSON file
    chatbot = ChatBot('knowledge_base.json')

    # User interaction with Streamlit UI
    user_input = st.text_input("Enter your query below:", key="user_input")
    if user_input:
        response = chatbot.learn_and_respond(user_input)
        if response:
            st.write(f"Bot: {response}")