Update app.py

app.py

@@ -2,7 +2,7 @@ import nltk
 import streamlit as st
 from nltk.chat.util import Chat, reflections
 from nltk.metrics import jaccard_distance
-import numpy as np
+import re
 
 # Eğitim veri seti
 training_data = [
@@ -25,7 +25,9 @@ chatbot = train_bot(training_data)
 def jaccard_similarity(s1, s2):
     s1 = set(s1.split())
     s2 = set(s2.split())
-    return 1 - jaccard_distance(s1, s2)
+    common_tokens = s1.intersection(s2)
+    all_tokens = s1.union(s2)
+    return 1 - len(common_tokens) / len(all_tokens)
 
 # Sohbet botunu çalıştırma
 def run_chatbot():
@@ -33,10 +35,14 @@ def run_chatbot():
 
     user_input = st.text_area("Siz: ")
     if user_input:
-        max_sim = -np.inf
+        max_sim = -float('inf')
         response = ""
         for pattern, responses in chatbot._pairs:
-            sim = jaccard_similarity(user_input.lower(), pattern.lower())
+            if isinstance(pattern, str):
+                pattern_str = pattern
+            else:
+                pattern_str = pattern.pattern
+            sim = jaccard_similarity(user_input.lower(), pattern_str.lower())
             if sim > max_sim:
                 max_sim = sim
                 response = chatbot.respond(pattern)