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import gradio as gr
import igraph as ig
import plotly.graph_objects as go
PLOTLY_TREE = None
def get_plotly_tree():
return PLOTLY_TREE
def create_plotly_tree():
# Create an igraph tree
g = ig.Graph.Tree(7, 2) # Example tree
lay = g.layout('rt') # Reingold-Tilford layout
# Plotly setup
edge_x = []
edge_y = []
for edge in g.get_edgelist():
x0, y0 = lay[edge[0]]
x1, y1 = lay[edge[1]]
edge_x.extend([x0, x1, None])
edge_y.extend([y0, y1, None])
edge_trace = go.Scatter(
x=edge_x, y=edge_y,
line=dict(width=0.5, color='#888'),
hoverinfo='none',
mode='lines')
node_x = [lay[k][0] for k in range(len(lay))]
node_y = [lay[k][1] for k in range(len(lay))]
node_trace = go.Scatter(
x=node_x, y=node_y,
mode='markers',
hoverinfo='text',
marker=dict(showscale=False, size=10, color='#850', line_width=2))
fig = go.Figure(data=[edge_trace, node_trace],
layout=go.Layout(
showlegend=False,
hovermode='closest',
margin=dict(b=0, l=0, t=0, r=0),
xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
yaxis=dict(showgrid=False, zeroline=False, showticklabels=False))
)
return fig
PLOTLY_TREE = create_plotly_tree()
print('PLOTLY_TREE', PLOTLY_TREE)
def setup_interface():
iface = gr.Interface(
fn=get_plotly_tree,
inputs=[],
outputs=gr.Plot(),
title="Interactive Tree Visualization"
)
return iface
with gr.Blocks() as demo:
with gr.Column():
tree_interface = setup_interface()
textbox = gr.Textbox()
# Launch the interface
if __name__ == "__main__":
# iface = setup_interface()
# iface.launch()
print('before launch')
demo.launch() |