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import gradio as gr
from rag import get_best_answer
# Custom CSS for the interface
css = """
#chatbot {
height: 350px;
overflow: auto;
border-radius: 10px;
border: 1px solid #e0e0e0;
}
.textbox {
border-radius: 20px !important;
padding: 12px 20px !important;
}
.btn-column {
display: flex;
flex-direction: column;
gap: 10px;
}
"""
def create_interface():
with gr.Blocks(css=css, theme="soft") as demo:
gr.Markdown("""
<h1 style='text-align: center;'>University of Education Lahore Chatbot</h1>
<p style='text-align: center;'>Official AI Assistant for University Information</p>
""")
# Define the chat interface
chatbot = gr.Chatbot(elem_id="chatbot")
examples = [
"What are the admission requirements?",
"How can I contact the administration?",
"What programs are offered?"
]
with gr.Row():
message = gr.Textbox(
label="Type your question here",
placeholder="Ask about admissions, programs, or university services...",
elem_classes="textbox",
scale=4
)
with gr.Column(scale=1, elem_classes="btn-column"):
submit_button = gr.Button("↩️ Enter")
reset_button = gr.Button("🗑️ Reset Chat")
# Set up both Enter key and button to trigger the response
def respond(message, chat_history):
bot_message = get_best_answer(message)
chat_history.append((message, bot_message))
return "", chat_history
message.submit(respond, [message, chatbot], [message, chatbot])
submit_button.click(respond, [message, chatbot], [message, chatbot])
# Reset button to clear history
def reset_conversation():
return []
reset_button.click(reset_conversation, [], [chatbot])
gr.Examples(examples, inputs=message)
return demo
if __name__ == "__main__":
demo = create_interface()
demo.launch() |