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app_space.py

@@ -66,7 +66,7 @@ def plot_gating(signal_text: str):
     fig.savefig(buf, format="png", dpi=120)
     plt.close(fig)
     buf.seek(0)
-    return buf
+    return buf.read()
 
 
 demo_normal = [0.05 for _ in range(256)]
@@ -88,7 +88,7 @@ with gr.Blocks(title="Sundew ECG Demo") as demo:
                 label="ECG samples (JSON list)",
                 value=json.dumps(demo_afib[:128]),
             )
-            img = gr.Image(type="filepath", label="Raw vs Gated")
+            img = gr.Image(type="numpy", label="Raw vs Gated")
             btn2 = gr.Button("Show gating")
             btn2.click(plot_gating, inputs=inp2, outputs=img)
         with gr.Tab("Demos"):

requirements.txt

@@ -7,3 +7,4 @@ tqdm
 sundew-algorithms
 adaptive-sparse-training
 matplotlib
+numpy<2