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from transformers import pipeline, Conversation
import gradio as gr
chatbot = pipeline(model="Falconsai/medical_summarization")
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="Test medical summarization chatbot", description="Enter text to summarize.")
def responseFun(message, history):
return history[len(history) - 1]
demo_chatbot = gr.ChatInterface(responseFun, title="Test medical summarization chatbot", description="Enter text to summarize.")
demo_chatbot.launch() |