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from transformers import pipeline, Conversation
import gradio as gr
chatbot = pipeline("text-generation", model="models/epfl-llm/meditron-70b")
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")
# 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() |