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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) |