Natural Language Processing Development Tutorials, Guides & Insights

حان وقت التفاعل مع الروبوت:

print("روبوت الدردشة: مرحباً! اكتب 'وداعاً' للخروج.")

while True:
    user_input = input("أنت: ")
    if "وداعاً" in user_input:
        print("روبوت الدردشة: وداعاً!")
        break
    response = chatbot_response(user_input)
    print(f"روبوت الدردشة: {response}")

Start typing messages to chat with the bot. Type "exit" to stop the conversation.

• Model Loading: We use the transformers library to load the DialoGPT model, which is fine-tuned for conversational tasks.
• Tokenization: The tokenizer converts input text into tokens that the model can process.
• Chat History: We maintain chat history to allow contextually relevant responses.
• Generating Responses: The model generates responses based on the input and chat history.