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import gradio as gr |
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from styles import get_chat_interface_style, get_textbox_style, get_chatbox_style |
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import random |
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import time |
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def respond(message, chat_history, chat_history_slider): |
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user_input = message.lower() |
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if "technology" in user_input: |
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bot_message = "Sure, let's talk about technology. What specific aspect are you interested in?" |
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elif "science" in user_input: |
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bot_message = "Science is fascinating! What scientific topic would you like to discuss?" |
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elif "healthcare" in user_input: |
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bot_message = "Healthcare is crucial. How can I assist you in the healthcare domain?" |
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elif "education" in user_input: |
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bot_message = "Education is important. What educational topic are you curious about?" |
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elif "sports" in user_input: |
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bot_message = "Sports are exciting! What sport or team are you a fan of?" |
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else: |
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bot_message = "Welcome! I'm Glo AI. How can I assist you today?" |
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chat_history.append(bot_message) |
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time.sleep(2) |
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return "", chat_history[-chat_history_slider.value:] |
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def launch_chat_app(): |
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with gr.Blocks() as demo: |
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chat_interface_style = get_chat_interface_style() |
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chatbot = gr.Chatbot(style=get_chatbox_style()) |
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msg = gr.Textbox("Write your input here", style=get_textbox_style()) |
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submit_button = gr.Button("Submit") |
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chat_history_slider = gr.Slider(minimum=1, maximum=10, value=5, label="Chat History Length") |
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submit_button.click(respond, [msg, chatbot, chat_history_slider]) |
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demo.launch() |
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if __name__ == "__main__": |
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launch_chat_app() |
