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