Update app.py

app.py

@@ -80,6 +80,26 @@ def generate_response(user_message, traits):
 
     return response
 
+##def respond(user_message, history, personality_text):
+##    """
+##    Generate a chatbot response based on user input and personality traits.
+##    Args:
+##        user_message (str): The user's input message.
+##        history (list): A list of message-response tuples to maintain conversation history.
+##       personality_text (str): The text defining the chatbot's personality.
+##    Returns:
+##        tuple: Updated conversation history.
+##    """
+##    # Analyze personality traits from the provided text
+##    traits = analyze_personality(personality_text)
+##    
+##    # Generate a response using the LLM and personality traits
+##    final_response = generate_response(user_message, traits)
+##
+##   # Append the new interaction to the conversation history
+##    history.append((user_message, final_response))
+##    
+##    return history, history
 def respond(user_message, history, personality_text):
     """
     Generate a chatbot response based on user input and personality traits.
@@ -90,6 +110,10 @@ def respond(user_message, history, personality_text):
     Returns:
         tuple: Updated conversation history.
     """
+    # **Tắt filter hoặc làm sạch nội dung trước khi phân tích**
+    user_message = disable_content_filters(user_message)  # Hàm tắt filter hoặc xử lý nội dung
+    personality_text = disable_content_filters(personality_text)
+    
     # Analyze personality traits from the provided text
     traits = analyze_personality(personality_text)
     
@@ -100,6 +124,19 @@ def respond(user_message, history, personality_text):
     history.append((user_message, final_response))
     
     return history, history
+    
+def disable_content_filters(text):
+    """
+    Mock function to simulate content filter disabling.
+    For this project, you can extend this logic to preprocess input text.
+    """
+    # Remove/replace filtered words (just a simple example)
+    # Extend this with a list of words or external API for full functionality
+    filtered_words = ["badword1", "badword2", "profanity"]
+    for word in filtered_words:
+        text = text.replace(word, "[filtered]")
+    
+    return text
 
 def personality_demo():
     """