| from transformers import pipeline, Conversation |
| import gradio as gr |
|
|
| chatbot = pipeline(model="facebook/blenderbot-400M-distill") |
| message_list = [] |
| response_list = [] |
|
|
| def vanilla_chatbot(message, history): |
| conversation = Conversation(text=message, past_user_inputs=message_list, |
| generated_responses=response_list) |
| print(conversation) |
| print(conversation.messages[0]['content']) |
| print(chatbot(conversation.messages[0]['content'])) |
| bot = chatbot(conversation.messages[0]['content']) |
| print(bot) |
| return bot[-1]['generated_text'] |
| |
| demo_chatbot = gr.ChatInterface(vanilla_chatbot, title="Mashdemy Chatbot", description="Enter text to start chatting.") |
| demo_chatbot.launch(share = True) |
