Update plot.py

plot.py

@@ -1,26 +1,33 @@
+# plot.py
 import matplotlib.pyplot as plt
 import numpy as np
-import tempfile
+import io
+from PIL import Image
 
 def plot_radar_chart(config):
-    labels = list(config.keys())
-    values = list(config.values())
-
-    # Normalize boolean to int
-    values = [int(v) if isinstance(v, bool) else v for v in values]
-
-    angles = np.linspace(0, 2 * np.pi, len(labels), endpoint=False).tolist()
+    # Traits to plot
+    traits = ["layers", "attention_heads", "ffn_dim", "dropout"]
+    values = [
+        config["layers"],
+        config["attention_heads"],
+        config["ffn_dim"] / 512,  # Normalize
+        config["dropout"] * 10,   # Normalize
+    ]
+    # Repeat first value to close the loop
     values += values[:1]
+    angles = np.linspace(0, 2 * np.pi, len(traits), endpoint=False).tolist()
     angles += angles[:1]
 
     fig, ax = plt.subplots(figsize=(5, 5), subplot_kw=dict(polar=True))
-    ax.plot(angles, values, 'o-', linewidth=2)
+    ax.plot(angles, values, "o-", linewidth=2)
     ax.fill(angles, values, alpha=0.25)
-    ax.set_thetagrids(np.degrees(angles[:-1]), labels)
-    ax.set_title("Trait Radar", va='bottom')
-    ax.grid(True)
+    ax.set_yticklabels([])
+    ax.set_xticks(angles[:-1])
+    ax.set_xticklabels(traits)
+    ax.set_title("Final Generation Trait Radar", fontsize=14)
 
-    file_path = tempfile.NamedTemporaryFile(suffix=".png", delete=False).name
-    plt.savefig(file_path, bbox_inches="tight")
-    plt.close()
-    return file_path
+    buf = io.BytesIO()
+    plt.savefig(buf, format="png")
+    buf.seek(0)
+    image = Image.open(buf)
+    return image