import gradio as gr # Define learning paths and corresponding content learning_paths = { "Math": "Welcome to the Math path! Solve problems and explore concepts like algebra, calculus, and geometry.", "Science & Engineering": "Dive into physics, chemistry, and engineering concepts with interactive examples.", "Computer Science & Programming": "Learn programming, algorithms, and computer science fundamentals.", "Data Science & Data Analysis": "Master data manipulation, visualization, and analysis techniques." } # Function to display the selected learning path's content def show_learning_content(selected_path): """ Displays content for the selected learning path. """ return f"You selected: {selected_path}\n\n{learning_paths[selected_path]}" # Function to simulate feedback or progression def provide_feedback(selected_path): return f"Great choice! Let's dive into {selected_path}." # Gradio interface with gr.Blocks() as app: gr.Markdown("## Interactive Learning Platform") gr.Markdown("Choose a topic to start learning:") # Progress bar at the top gr.Markdown('
' '
', unsafe_allow_html=True) # Options for learning paths selected_topic = gr.Radio( choices=list(learning_paths.keys()), label="Select a Learning Path", value="Math" ) # Buttons for user interaction with gr.Row(): continue_button = gr.Button("Continue") feedback_button = gr.Button("Get Feedback") # Outputs learning_output = gr.Textbox(lines=8, interactive=False, label="Learning Content") feedback_output = gr.Textbox(interactive=False, label="Feedback") # Link interactions to actions continue_button.click(fn=show_learning_content, inputs=selected_topic, outputs=learning_output) feedback_button.click(fn=provide_feedback, inputs=selected_topic, outputs=feedback_output) # Launch the app app.launch()