Upload app.py

app.py

@@ -1,7 +1,6 @@
 import os
 os.system("pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cpu")
 os.system("pip install torch-scatter torch-sparse torch-cluster torch-spline-conv torch-geometric -f https://data.pyg.org/whl/torch-1.12.0+cpu.html")
-
 import gradio as gr
 from glycowork.ml.processing import dataset_to_dataloader
 import numpy as np
@@ -67,7 +66,7 @@ def fn(glycan, model):
 f = fn(class_list)  
 
 demo = gr.Interface(
-    fn=f,
+    fn=fn,
     inputs=[gr.Textbox(label="Glycan sequence"), gr.Radio(label="Model",choices=["No data augmentation", "Random node deletion"])],
     outputs=[gr.Label(num_top_classes=15, label="Prediction")],
     allow_flagging=False,