| 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() |