import gradio as gr import plotly.graph_objects as go import os from collections import defaultdict # print(os.pwd()) 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(list) for species, imgpath in species_to_imgpath.items(): for foldername in os.listdir(imgpath): if os.path.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 = filename.split('.')[0].split('-')[0] print(filename, filepath, filepath.split('.'), filepath.split('.')[0].split('-')) protoID = filename.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 get_protoIDs(nodename): return gr.Dropdown(choices=nodename_to_protoIDs[nodename], interactive=True) def get_image(nodename, protoID): imgname = '-'.join([nodename, protoID]) + '.png' filepath = imgname_to_filepath[imgname] return gr.Image(filepath) 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 a node name", choices=list(nodename_to_protoIDs.keys())) dropdown_1_protos = gr.Dropdown(label="Select a prototype ID", choices=[], allow_custom_value=True) image_output_1 = gr.Image('new_teaser (3)-1.png') with gr.Column(): dropdown_2_nodename = gr.Dropdown(label="Select a node name", choices=list(nodename_to_protoIDs.keys())) dropdown_2_protos = gr.Dropdown(label="Select a prototype ID", choices=[], allow_custom_value=True) image_output_2 = gr.Image('new_teaser (3)-1.png') dropdown_1_nodename.change(get_protoIDs, dropdown_1_nodename, dropdown_1_protos) dropdown_1_protos.change(get_image, [dropdown_1_nodename, dropdown_1_protos], image_output_1) dropdown_2_nodename.change(get_protoIDs, dropdown_2_nodename, dropdown_2_protos) # 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()