File size: 778 Bytes
d5ba592 10b3a00 d5ba592 10b3a00 d5ba592 10b3a00 d5ba592 10b3a00 258eb8f 10b3a00 d30d2cc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
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() |