Update app.py

app.py

@@ -183,7 +183,7 @@ def predict(smiles, label):
     test_dataset = MPNNDataset(input, label)
     y_pred = tf.squeeze(model.predict(test_dataset), axis=1)
     legends = [f"y_true/y_pred = {label[i]}/{y_pred[i]:.2f}" for i in range(len(label))]
-    MolsToGridImage(molecules, molsPerRow=1, legends=legends, returnPNG=False, subImgSize=(550, 550)).save("img.png")
+    MolsToGridImage(molecules, molsPerRow=1, legends=legends, returnPNG=False, subImgSize=(650, 650)).save("img.png")
     return 'img.png'
 
 inputs = [
@@ -208,4 +208,4 @@ gr.Interface(
     examples=examples,
     outputs="image",
     article = "Author: <a href=\"https://huggingface.co/vumichien\">Vu Minh Chien</a>. Based on the keras example from <a href=\"https://keras.io/examples/graph/mpnn-molecular-graphs/\">Alexander Kensert</a>",
-).launch(debug=True, enable_queue=True)
+).launch(debug=False, enable_queue=True)