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# import gradio as gr
# import plotly.graph_objects as go
# import os
# from collections import defaultdict
# species_to_imgpath = {'bird': '/descendent_specific_topk=10_heatmap_withbb_ep=last_024+051'}
# # this has to be there for each species
# imgname_to_filepath = {} # this ignores the extension such as .png
# nodename_to_protoIDs = defaultdict()
# for species, imgpath in species_to_imgpath.items():
# for foldername in os.listdir(imgpath):
# if os.isdir(os.path.join(imgpath, foldername)):
# folderpath = os.path.join(imgpath, foldername)
# for filename in os.listdir(folderpath):
# if filename.endswith('png') or filename.endswith('jpg'):
# filepath = os.path.join(folderpath, filename)
# imgname_to_filepath[filename] = filepath
# nodename = filepath.split('.')[0].split('-')[0]
# protoID = filepath.split('.')[0].split('-')[1]
# nodename_to_protoIDs[nodename].append(protoID)
# def display_tree():
# # This function should create and return a Plotly figure of the tree
# # Currently returns a simple string, but should be replaced with actual graph
# # Define the nodes and edges for the graph
# nodes = ['Node 1', 'Node 2', 'Node 3', 'Node 4']
# edges = [(0, 1), (0, 2), (2, 3)] # Edges are tuples of node indices
# # Define positions for the nodes (you can use a layout algorithm for more complex graphs)
# positions = [(0, 0), (1, 2), (1, -2), (2, 0)]
# # Create traces for nodes and edges
# edge_x = []
# edge_y = []
# for edge in edges:
# x0, y0 = positions[edge[0]]
# x1, y1 = positions[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=2, color='Black'),
# hoverinfo='none',
# mode='lines')
# node_x = [pos[0] for pos in positions]
# node_y = [pos[1] for pos in positions]
# node_trace = go.Scatter(
# x=node_x, y=node_y,
# mode='markers+text',
# hoverinfo='text',
# marker=dict(showscale=False, size=10, color='Goldenrod'),
# text=nodes,
# textposition="top center"
# )
# # Define the layout of the graph
# layout = go.Layout(
# showlegend=False,
# hovermode='closest',
# margin=dict(b=0, l=0, r=0, t=0),
# xaxis=dict(showgrid=False, zeroline=False, showticklabels=False),
# yaxis=dict(showgrid=False, zeroline=False, showticklabels=False)
# )
# # Create the figure
# fig = go.Figure(data=[edge_trace, node_trace], layout=layout)
# return fig
# def display_image_based_on_dropdown_1(dropdown_value):
# # Create a white image
# img = Image.new('RGB', (200, 100), color='white')
# d = ImageDraw.Draw(img)
# # Specify a font. If you have a .ttf font file you can specify its path
# # fnt = ImageFont.truetype('/path/to/font.ttf', 40)
# # Otherwise, we'll use a default PIL font
# fnt = ImageFont.load_default()
# # Position the text in the center
# text = "Placeholder"
# textwidth, textheight = d.textsize(text, font=fnt)
# width, height = img.size
# x = (width - textwidth) / 2
# y = (height - textheight) / 2
# # Draw the text onto the image
# d.text((x,y), text, font=fnt, fill='black')
# # Save the image to a file in buffer to return
# img.save('/tmp/dummy_image.png')
# return '/tmp/dummy_image.png'
# def display_image_based_on_dropdown_2(dropdown_value):
# # Create a white image
# img = Image.new('RGB', (200, 100), color='white')
# d = ImageDraw.Draw(img)
# # Specify a font. If you have a .ttf font file you can specify its path
# # fnt = ImageFont.truetype('/path/to/font.ttf', 40)
# # Otherwise, we'll use a default PIL font
# fnt = ImageFont.load_default()
# # Position the text in the center
# text = "Placeholder"
# textwidth, textheight = d.textsize(text, font=fnt)
# width, height = img.size
# x = (width - textwidth) / 2
# y = (height - textheight) / 2
# # Draw the text onto the image
# d.text((x,y), text, font=fnt, fill='black')
# # Save the image to a file in buffer to return
# img.save('/tmp/dummy_image.png')
# return '/tmp/dummy_image.png'
# with gr.Blocks() as demo:
# gr.Markdown("## Interactive Tree and Image Display")
# with gr.Row():
# tree_output = gr.Plot(display_tree) # Connect the function directly
# with gr.Row():
# with gr.Column():
# dropdown_1_nodename = gr.Dropdown(label="Select any node name", choices=["Option 1", "Option 2", "Option 3"])
# dropdown_1_protos = gr.Dropdown(label="Select a prototype ID", choices=["Option 1", "Option 2", "Option 3"])
# image_output_1 = gr.Image('new_teaser (3)-1.png')
# with gr.Column():
# dropdown_2_nodename = gr.Dropdown(label="Select any node name", choices=["Option 1", "Option 2", "Option 3"])
# dropdown_2_protos = gr.Dropdown(label="Select a prototype ID", choices=["Option 1", "Option 2", "Option 3"])
# image_output_2 = gr.Image('new_teaser (3)-1.png')
# # Initialize with placeholder images
# # image_output_1.update(display_image_based_on_dropdown_1)
# # image_output_2.update(display_image_based_on_dropdown_2)
# demo.launch()
import gradio as gr
def update_options(selected_option):
# Logic to determine new options based on selected option
if selected_option == "Option 1":
new_options = ["Suboption 1.1", "Suboption 1.2"]
elif selected_option == "Option 2":
new_options = ["Suboption 2.1", "Suboption 2.2"]
else:
new_options = ["Suboption 3.1", "Suboption 3.2"]
new_options = ['Something', 'something else']
# Return the new options to update the second dropdown
return new_options # Return current selection to persist it in the first dropdown
with gr.Blocks() as demo:
with gr.Row():
dropdown_1 = gr.Dropdown(choices=["Option 1", "Option 2", "Option 3"], label="Main Options")
dropdown_2 = gr.Dropdown(choices=['just here', 'for the sake of it'], label="Sub Options")
# When the first dropdown changes, update the options in the second dropdown
dropdown_1.change(fn=update_options, inputs=dropdown_1, outputs=dropdown_2)
demo.launch()
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