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app.py

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+import gradio as gr
+import pandas as pd
+import plotly.graph_objects as go
+import plotly.io as pio
+
+pio.templates.default = "plotly_white"
+
+def plot_spyder(scores: dict, title: str = "Group 1 Chart", range_max: float | None = None) -> go.Figure:
+    if not scores:
+        raise ValueError("scores dict is empty")
+
+    labels = list(scores.keys())
+    values = list(scores.values())
+
+    labels_loop = labels + [labels[0]]
+    values_loop = values + [values[0]]
+
+    fig = go.Figure(
+        data=go.Scatterpolar(
+            r=values_loop,
+            theta=labels_loop,
+            fill="toself",
+            name=title,
+            line=dict(width=3)
+        )
+    )
+
+    fig.update_layout(
+        title=title,
+        polar=dict(
+            radialaxis=dict(
+                visible=True,
+                range=[0, range_max if range_max is not None else max(values)]
+            )
+        ),
+        showlegend=False
+    )
+
+    return fig
+
+def build_scores(df: pd.DataFrame) -> dict:
+    # Expect columns: label, value
+    df = df.dropna(subset=["label", "value"])
+    df["label"] = df["label"].astype(str).str.strip()
+    df = df[df["label"] != ""]
+    return dict(zip(df["label"], df["value"].astype(float)))
+
+def make_chart(df: pd.DataFrame, title: str, range_max: float) -> go.Figure:
+    scores = build_scores(df)
+    rm = None if range_max <= 0 else range_max
+    return plot_spyder(scores, title=title, range_max=rm)
+
+default_df = pd.DataFrame(
+    {
+        "label": [
+            "Affordability", "Control", "Difficulty", "Energy Efficiency Gains",
+            "Partnership Effort", "Risk Reduction", "Scale", "Adverse Outcome"
+        ],
+        "value": [9, 2, 8, 3, 6, 6, 5, 4]
+    }
+)
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Radar (Spider) Chart Builder")
+    with gr.Row():
+        data_input = gr.Dataframe(
+            value=default_df,
+            headers=["label", "value"],
+            datatype=["str", "number"],
+            row_count=(8, "dynamic"),
+            column_count=(2, "fixed"),
+            interactive=True,
+            label="Metrics (label, value)"
+        )
+        with gr.Column():
+            title_input = gr.Textbox(value="Group 1 Chart", label="Chart Title")
+            range_input = gr.Number(value=10, label="Range Max (0 = auto)")
+            plot_button = gr.Button("Plot")
+
+    plot_output = gr.Plot(label="Radar Chart")
+
+    plot_button.click(
+        fn=make_chart,
+        inputs=[data_input, title_input, range_input],
+        outputs=[plot_output]
+    )
+
+demo.launch()

requirements.txt

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+gradio
+pandas
+plotly