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import gradio as gr
import networkx as nx
import matplotlib.pyplot as plt
from io import BytesIO
from PIL import Image
import matplotlib.patches as mpatches
# Initialize the lesson plan graph
lesson_graph = nx.DiGraph()
# Define color map for node types
color_map = {
"User": "#FF9999", # Light Red
"Subject": "#66B2FF", # Light Blue
"Grade Level": "#99FF99", # Light Green
"Learning Objective": "#FFCC99", # Light Orange
"Activity": "#FF99FF", # Light Purple
"Assessment": "#FFFF99", # Light Yellow
"Resource": "#99FFFF", # Light Cyan
"School Board": "#CCCCCC" # Light Gray
}
def add_to_graph(teacher_name, subject, grade_level, learning_objective, activity, assessment, resource, school_board):
global lesson_graph
# Clear previous graph
lesson_graph.clear()
# Add nodes to the graph
lesson_graph.add_node(teacher_name, type="User")
lesson_graph.add_node(subject, type="Subject")
lesson_graph.add_node(grade_level, type="Grade Level")
lesson_graph.add_node(learning_objective, type="Learning Objective")
lesson_graph.add_node(activity, type="Activity")
lesson_graph.add_node(assessment, type="Assessment")
lesson_graph.add_node(resource, type="Resource")
lesson_graph.add_node(school_board, type="School Board")
# Add edges to the graph
lesson_graph.add_edge(teacher_name, subject, relationship="TEACHES")
lesson_graph.add_edge(subject, learning_objective, relationship="COVERS")
lesson_graph.add_edge(subject, grade_level, relationship="HAS_GRADE")
lesson_graph.add_edge(activity, learning_objective, relationship="ACHIEVES")
lesson_graph.add_edge(activity, resource, relationship="REQUIRES")
lesson_graph.add_edge(learning_objective, assessment, relationship="EVALUATED_BY")
lesson_graph.add_edge(teacher_name, school_board, relationship="BELONGS_TO")
lesson_graph.add_edge(learning_objective, school_board, relationship="ALIGNS_WITH")
# Generate search string
search_string = f"{subject} {grade_level} {learning_objective} {activity} {resource}".strip()
# Visualize the graph
plt.figure(figsize=(14, 10))
pos = nx.spring_layout(lesson_graph, k=0.9, iterations=50)
# Draw nodes with color coding
for node, node_type in nx.get_node_attributes(lesson_graph, 'type').items():
nx.draw_networkx_nodes(lesson_graph, pos, nodelist=[node], node_color=color_map[node_type],
node_size=3000, alpha=0.8)
nx.draw_networkx_edges(lesson_graph, pos, edge_color='gray', arrows=True, arrowsize=20)
nx.draw_networkx_labels(lesson_graph, pos, font_size=8, font_weight="bold")
# Add edge labels
edge_labels = nx.get_edge_attributes(lesson_graph, 'relationship')
nx.draw_networkx_edge_labels(lesson_graph, pos, edge_labels=edge_labels, font_size=7)
# Create legend
legend_elements = [mpatches.Patch(color=color, label=node_type) for node_type, color in color_map.items()]
plt.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(1, 1), title="Node Types")
plt.title("Your Educational Landscape", fontsize=16)
plt.axis('off')
plt.tight_layout()
# Save the plot to a bytes object
buf = BytesIO()
plt.savefig(buf, format="png", dpi=300, bbox_inches="tight")
buf.seek(0)
plt.close()
# Convert BytesIO to PIL Image
image = Image.open(buf)
return search_string, image
def clear_graph():
global lesson_graph
lesson_graph.clear()
return "Landscape cleared. You can start a new lesson plan."
# Gradio interface
demo = gr.Blocks()
with demo:
gr.Markdown("# EduScape: Design Your Educational Landscape")
gr.Markdown("Welcome to EduScape, where lesson planning becomes an adventure in crafting educational journeys. Design, visualize, and perfect your learning landscapes with ease.")
with gr.Row():
teacher_name = gr.Textbox(label="Teacher Name")
school_board = gr.Textbox(label="School Board/Region")
with gr.Row():
subject = gr.Textbox(label="Subject")
grade_level = gr.Textbox(label="Grade Level")
with gr.Row():
learning_objective = gr.Textbox(label="Learning Objective")
activity = gr.Textbox(label="Activity")
with gr.Row():
assessment = gr.Textbox(label="Assessment")
resource = gr.Textbox(label="Resource/Material")
with gr.Row():
generate_btn = gr.Button("Map Your Lesson Plan")
clear_btn = gr.Button("Clear Landscape")
search_output = gr.Textbox(label="Content Discovery Search String")
graph_output = gr.Image(label="Your Educational Landscape")
message_output = gr.Textbox(label="Landscape Status")
generate_btn.click(
add_to_graph,
inputs=[teacher_name, subject, grade_level, learning_objective, activity, assessment, resource, school_board],
outputs=[search_output, graph_output]
)
clear_btn.click(clear_graph, outputs=message_output)
# Launch the EduScape app
demo.launch() |