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from transformers import pipeline, Conversation
import gradio as gr
chatbot = pipeline("text-generation", model="epfl-llm/meditron-7b", use_auth_token=True)
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]
# def summarizer_bot(message, history):
# return chatbot(message, min_length=5, max_length=500)[0]['summary_text']
demo_chatbot = gr.ChatInterface(vanilla_chatbot, title="Check medical chatbot", description="Enter question")
demo_chatbot.launch() |