Condensate Titration: caption each generated image with its expression level only

app.py

@@ -123,13 +123,12 @@ def plot_curve(result: pipeline.Result):
 
 
 def sample_gallery(result: pipeline.Result):
-    """Every generated image along the ladder, captioned with its level and call, so the curve
-    is checkable by eye."""
+    """Every generated image along the ladder, captioned with its protein expression level, so the
+    curve is checkable by eye."""
     magma = matplotlib.colormaps["magma"]
-    calls = ["condensed" if p else "diffuse" for p in result.predictions]
     return [
-        ((magma(np.clip(img, 0, 1))[..., :3] * 255).astype(np.uint8), f"{level:.0f} \u00b7 {call}")
-        for img, level, call in zip(result.images, result.image_intensities, calls)
+        ((magma(np.clip(img, 0, 1))[..., :3] * 255).astype(np.uint8), f"{level:.0f}")
+        for img, level in zip(result.images, result.image_intensities)
     ]
 
 
@@ -212,7 +211,7 @@ def build_condensate_titration_section():
 
     curve_plot = gr.Plot(label="Condensate titration curve")
     sample_plot = gr.Gallery(
-        label="Generated images (protein channel; intensity level \u00b7 classifier call)",
+        label="Generated images (protein channel), captioned with the protein expression level (a.u.)",
         columns=8, height=520, allow_preview=True, object_fit="contain",
     )