Upload app.py

app.py

@@ -2,7 +2,6 @@ import gradio as gr
 from glycowork.ml.processing import dataset_to_dataloader
 import numpy as np
 import torch
-import os
 
 def fn(model, class_list):
   def f(glycan):
@@ -30,7 +29,6 @@ class_list=['Amoebozoa', 'Animalia', 'Bacteria', 'Bamfordvirae', 'Chromista', 'E
             'Orthornavirae', 'Pararnavirae', 'Plantae', 'Proteoarchaeota', 'Protista', 'Riboviria']
 
 f = fn(model, class_list)  
-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")
 
 demo = gr.Interface(
     fn=f,