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| import gradio as gr | |
| def chatbot_response(user_input): | |
| if user_input.lower() in ["hello", "hi"]: | |
| return "Hello! How can I help you with your studies today?" | |
| elif "supervised learning" in user_input.lower(): | |
| return "Supervised learning is a machine learning approach where models are trained using labeled data." | |
| else: | |
| return "I'm here to assist you with your academic questions. Please ask me anything!" | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# Study Assistance Chatbot") | |
| gr.Markdown("Welcome! Ask me anything related to your academic studies.") | |
| with gr.Row(): | |
| with gr.Column(): | |
| user_input = gr.Textbox(label="Enter your question here:") | |
| submit_button = gr.Button("Submit") | |
| with gr.Column(): | |
| chatbot_output = gr.Textbox(label="Chatbot Response", interactive=False) | |
| submit_button.click(chatbot_response, inputs=user_input, outputs=chatbot_output) | |
| demo.launch() | |