width=auth

src/streamlit_app.py

@@ -97,45 +97,8 @@ else:
 
             # Render in rows of 2
             items = filtered.to_dict(orient="records")
-            for i in range(0, len(items), 2):
-                cols = st.columns(2)
-                for j, item in enumerate(items[i : i + 4]):
-                    caption = f"{item['sparsity']} out of {item['sparsity_out_of']}"
-                    cols[j].image(item["path"], caption=caption, width='content')
+            for item in items:
+                caption = f"{item['sparsity']} out of {item['sparsity_out_of']}"
+                st.image(item["path"], caption=caption, width="auto")
 
 st.divider()
-
-# ----------------------------
-# Existing Spiral Demo (kept)
-# ----------------------------
-st.header("Spiral demo")
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame(
-    {
-        "x": x,
-        "y": y,
-        "idx": indices,
-        "rand": np.random.randn(num_points),
-    }
-)
-
-st.altair_chart(
-    alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    )
-)