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from transformers import pipeline, Conversation
import gradio as gr

chatbot = pipeline(model="facebook/blenderbot-400M-distill") #Working!
#https://huggingface.co/facebook/blenderbot-400M-distill/tree/main
#θΏ™δΈͺζ¨‘εž‹ζ–‡δ»Άε€§ε°οΌš730MBζˆ–1.46GB

#chatbot = pipeline(model="HuggingFaceH4/starchat-beta")
#https://huggingface.co/HuggingFaceH4/starchat-beta/tree/main
#η”±δΊŽθΏ™δΈͺζ¨‘εž‹ε€ͺε€§δΊ†οΌˆ9.96+9.86+9.86+1.36GBοΌ‰οΌŒδΌšε―Όθ‡΄ε¦‚δΈ‹ι”™θ――οΌš
#Runtime error
#Memory limit exceeded (16Gi)

#chatbot = pipeline(model="...")

message_list = []
response_list = []

def vanilla_chatbot(message, history):
    conversation = Conversation(text=message, past_user_inputs=message_list, generated_responses=response_list)
    conversation = chatbot(conversation)

    return conversation.generated_responses[-1]

demo_chatbot = gr.ChatInterface(vanilla_chatbot, title="Vanilla Chatbot", description="Enter text to start chatting.")

demo_chatbot.launch()