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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 (HTML-based)
gr.HTML('<div style="width: 100%; background-color: lightgray; height: 5px; border-radius: 5px;">'
'<div style="width: 25%; background-color: green; height: 100%;"></div></div>')
# 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()
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