Spaces:
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Chat Interfaces
Browse files
app.py
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import random
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import time
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import gradio as gr
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def placeholder(input, history):
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return "You typed: " + input
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class ChatbotInterface():
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def __init__(self, name):
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self.name = name
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self.chatbot = gr.Chatbot()
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self.chat_history = []
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with gr.Row() as row:
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row.justify = "end"
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self.msg = gr.Textbox(scale=7)
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self.submit = gr.Button("Submit", scale=1)
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clear = gr.ClearButton([self.msg, self.chatbot])
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chat_history = []
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self.submit.click(self.respond, [self.msg, self.chatbot], [self.msg, self.chatbot])
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def respond(self, msg, history):
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bot_message = random.choice(["Hello, I'm MedChat! How can I help you?", "Hello there! I'm Medchat, a medical assistant! How can I help you?"])
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self.chat_history.append([msg, bot_message])
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time.sleep(1)
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return "", self.chat_history
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if __name__ == "__main__":
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with gr.Blocks() as demo:
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with gr.Row() as intro:
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gr.Markdown(
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"""
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## MedChat
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Welcome to MedChat, a medical assistant chatbot! You can currently chat with three chatbots that are trained on the same medical dataset.
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If you want to compare the output of each model, click the submit to all button and see the magic happen!
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"""
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)
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with gr.Row() as row:
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with gr.Column() as col1:
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with gr.Tab("GaiaMinimed") as gaia:
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gaia_bot = ChatbotInterface("GaiaMinimed")
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with gr.Column() as col2:
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with gr.Tab("MistralMed") as mistral:
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mistral_bot = ChatbotInterface("MistralMed")
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with gr.Tab("Falcon-7B") as falcon7b:
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falcon_bot = ChatbotInterface("Falcon-7B")
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def submit_to_all(value):
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for element in [gaia_bot, mistral_bot, falcon_bot]:
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element.msg.value = value
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element.submit.click()
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submit_all = gr.Button("Submit to All", scale=1)
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submit_all.click(submit_to_all, [gaia_bot.msg])
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demo.launch()
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