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import gradio as gr
# Import generator functions and sample JSONs
from concept_map_generator import generate_concept_map
from synoptic_chart_generator import generate_synoptic_chart
from radial_diagram_generator import generate_radial_diagram
from process_flow_generator import generate_process_flow_diagram
from wbs_diagram_generator import generate_wbs_diagram
from sample_data import CONCEPT_MAP_JSON, SYNOPTIC_CHART_JSON, RADIAL_DIAGRAM_JSON, PROCESS_FLOW_JSON, WBS_DIAGRAM_JSON
if __name__ == "__main__":
# Define the default dark color
DEFAULT_BASE_COLOR = '#19191a'
with gr.Blocks(
title="Advanced Graph Generator",
css="""
.gradio-container {
font-family: 'Inter', sans-serif !important;
}
.gr-tab-item {
padding: 10px 20px;
font-size: 1.1em;
font-weight: bold;
}
.gr-button {
border-radius: 8px;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
background-color: #4CAF50;
color: white;
padding: 10px 20px;
font-size: 1.1em;
}
.gr-button:hover {
background-color: #45a049;
}
.gr-textbox {
border-radius: 8px;
padding: 10px;
}
/* Dark mode styles, adjust if needed */
.gradio-container.dark {
--tw-bg-opacity: 1;
background-color: rgb(24 24 27 / var(--tw-bg-opacity));
color: #d4d4d8; /* text-zinc-300 */
}
.gradio-container.dark .gr-textbox {
background-color: rgb(39 39 42 / var(--tw-bg-opacity));
color: #d4d4d8;
border-color: #52525b; /* border-zinc-600 */
}
.gradio-container.dark .gr-tab-item {
color: #d4d4d8;
}
.gradio-container.dark .gr-tab-item.selected {
background-color: rgb(39 39 42 / var(--tw-bg-opacity));
color: #fff;
}
"""
) as demo:
gr.Markdown(
"""
# Graphify: Generate concept maps, synoptic charts and radial diagrams from JSON!
Choose a graph type and provide your JSON data to generate a visual representation.
All graphs maintain a consistent, elegant style with rounded boxes,
a dark-to-light color gradient, and a clean white background.
"""
)
# Global Color Picker - Repositioned and simplified layout
with gr.Row(variant="panel", equal_height=True): # Removed mobile_collapse=False
gr.Markdown("### Main Diagram Color") # Removed scale=1 from gr.Markdown
base_color_picker = gr.ColorPicker(
label="Select Base Color for Diagram",
value=DEFAULT_BASE_COLOR, # Default to your dark color
interactive=True,
elem_id="main-color-picker",
scale=2 # Allow color picker to take more space
)
# Add a small space after the color picker row before tabs
gr.Markdown("<br>")
with gr.Tabs():
with gr.TabItem("Concept Map"):
# Directly define gr.Interface and pass base_color_picker as an input
gr.Interface(
fn=generate_concept_map,
inputs=[
gr.Textbox(
value=CONCEPT_MAP_JSON,
placeholder="Paste JSON following the documented format",
label="Structured JSON Input",
lines=25
),
base_color_picker # Pass the component directly as an input
],
outputs=gr.Image(
label="Generated Graph",
type="filepath",
show_download_button=True
),
title="Concept Map Generator",
)
gr.Markdown("<br>")
gr.Markdown("## Example Concept Maps")
with gr.Row():
gr.Image(value="./images/cm1.png", label="Sample 1", show_label=True, interactive=False, height="auto", width="100%")
gr.Image(value="./images/cm2.png", label="Sample 2", show_label=True, interactive=False, height="auto", width="100%")
with gr.TabItem("Synoptic Chart"):
gr.Interface(
fn=generate_synoptic_chart,
inputs=[
gr.Textbox(
value=SYNOPTIC_CHART_JSON,
placeholder="Paste JSON following the documented format",
label="Structured JSON Input",
lines=25
),
base_color_picker # Pass the component directly as an input
],
outputs=gr.Image(
label="Generated Graph",
type="filepath",
show_download_button=True
),
title="Synoptic Chart Generator",
)
gr.Markdown("<br>")
gr.Markdown("## Example Synoptic Charts")
with gr.Row():
gr.Image(value="./images/sc1.png", label="Sample 1", show_label=True, interactive=False, height="auto", width="100%")
gr.Image(value="./images/sc2.png", label="Sample 2", show_label=True, interactive=False, height="auto", width="100%")
with gr.TabItem("Radial Diagram"):
gr.Interface(
fn=generate_radial_diagram,
inputs=[
gr.Textbox(
value=RADIAL_DIAGRAM_JSON,
placeholder="Paste JSON following the documented format",
label="Structured JSON Input",
lines=25
),
base_color_picker # Pass the component directly as an input
],
outputs=gr.Image(
label="Generated Graph",
type="filepath",
show_download_button=True
),
title="Radial Diagram Generator",
)
gr.Markdown("<br>")
gr.Markdown("## Example Radial Diagrams")
with gr.Row():
gr.Image(value="./images/rd1.png", label="Sample 1", show_label=True, interactive=False, height="auto", width="100%")
gr.Image(value="./images/rd2.png", label="Sample 2", show_label=True, interactive=False, height="auto", width="100%")
# New Tab for Process Flow Diagram
with gr.TabItem("Process Flow"):
gr.Interface(
fn=generate_process_flow_diagram,
inputs=[
gr.Textbox(
value=PROCESS_FLOW_JSON,
placeholder="Paste JSON following the documented format",
label="Structured JSON Input",
lines=25
),
base_color_picker # Pass the component directly as an input
],
outputs=gr.Image(
label="Generated Graph",
type="filepath",
show_download_button=True
),
title="Process Flow Diagram Generator",
)
gr.Markdown("<br>")
gr.Markdown("## Example Process Flow Diagrams")
with gr.Row():
gr.Image(value="./images/pf1.png", label="Sample 1", show_label=True, interactive=False, height="auto", width="100%")
gr.Image(value="./images/pf2.png", label="Sample 2", show_label=True, interactive=False, height="auto", width="100%")
# New Tab for WBS Diagram
with gr.TabItem("WBS Diagram"):
gr.Interface(
fn=generate_wbs_diagram,
inputs=[
gr.Textbox(
value=WBS_DIAGRAM_JSON,
placeholder="Paste JSON following the documented format",
label="Structured JSON Input",
lines=25
),
base_color_picker # Pass the component directly as an input
],
outputs=gr.Image(
label="Generated Graph",
type="filepath",
show_download_button=True
),
title="WBS Diagram Generator",
)
gr.Markdown("<br>")
gr.Markdown("## Example WBS Diagrams")
with gr.Row():
gr.Image(value="./images/wbs1.png", label="Sample 1", show_label=True, interactive=False, height="auto", width="100%")
gr.Image(value="./images/wbs2.png", label="Sample 2", show_label=True, interactive=False, height="auto", width="100%")
demo.launch(
mcp_server=True,
share=False,
server_port=7860,
server_name="0.0.0.0"
)
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