update confidence score

app.py

@@ -10,10 +10,9 @@ def process(input_image, prompt):
     with torch.no_grad():
         outputs = model(**inputs)
     preds = torch.sigmoid(outputs.logits).squeeze().detach().cpu().numpy()
-    preds = np.where(preds > 0.5, 255, 0).astype(np.uint8)
+    preds = np.where(preds > 0.3, 255, 0).astype(np.uint8)
     preds = Image.fromarray(preds.astype(np.uint8))
     preds = np.array(preds.resize((input_image.width, input_image.height)))
-    print(preds)
     return preds
     
 if __name__ == '__main__':