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from transformers import pipeline, Conversation |
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import gradio as gr |
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chatbot = pipeline("summarization", model="Falconsai/medical_summarization") |
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message_list = [] |
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response_list = [] |
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def vanilla_chatbot(message, history): |
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conversation = Conversation(text=message, past_user_inputs=message_list, generated_responses=response_list) |
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conversation = chatbot(conversation) |
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return conversation.generated_responses[-1] |
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def summarizer_bot(message, history): |
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return chatbot(message, min_length=5, max_length=500)[0]['summary_text'] |
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demo_chatbot = gr.ChatInterface(summarizer_bot, title="Test medical summarization chatbot", description="Enter text to summarize.") |
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demo_chatbot.launch() |
