Update app.py

app.py

@@ -1,10 +1,5 @@
 import json
 import streamlit as st
-import nltk
-from nltk.tokenize import word_tokenize
-
-# Ensure 'punkt' resource is downloaded
-nltk.download('punkt')
 
 st.set_page_config(page_title="Self-Learning Chatbot")
 st.title("Self-Learning Chatbot")
@@ -40,14 +35,14 @@ class ChatBot:
         return response
 
     def find_response(self, user_input):
-        tokens = word_tokenize(user_input.lower())
+        user_input = user_input.lower().strip()
         for question in self.knowledge_base.get("questions", []):
-            if word_tokenize(question['question'].lower()) == tokens:
+            if question['question'].lower() == user_input:
                 return question['response']
         return None
 
     def teach_response(self, user_input, response):
-        new_question = {'question': user_input.lower(), 'response': 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)