app.py

from transformers import pipeline, Conversation
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig

import gradio as gr

chatbot = pipeline("text-generation",model="deepseek-ai/DeepSeek-V2.5", trust_remote_code=True)

message_list = []
response_list = []

def vanilla_chatbot(message, history):
    conversation = chatbot(message)
    #conversation = Conversation(text=message, past_user_inputs=message_list, generated_responses=response_list)
    conversation = chatbot(conversation)
    return conversation[0]['generated_text']
    #return conversation.generated_responses[-1]

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

demo_chatbot.launch()