from transformers import pipeline, Conversation
import gradio as gr


# pipe = pipeline("text2text-generation", model="facebook/blenderbot-400M-distill")
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)
    bot = chatbot(conversation.messages[0]['content']) # working code
    # bot = chatbot(conversation.messages[-1]) # error code
    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)