app.py cleaned

app.py

@@ -17,22 +17,3 @@ iface = gr.Interface(
 iface.launch()
 
 
-# import pandas as pd
-# from molgenevalmetric import penalized_logp
-# import evaluate
-
-# df = pd.read_csv('/Users/saicharan/chembl_10000.csv')
-# ls= df['SMILES'].tolist()
-# ls_gen = ls[0:500]
-# ls_train = ls[500:1000]
-
-# print('computing')
-# print(penalized_logp(gen=ls_gen))
-# print(SYBAscore(gen=ls_gen))
-# print(qed_metric(gen=ls_gen))
-# print(logP_metric(gen=ls_gen))
-# print(average_sascore(gen=ls_gen))
-# print(oracles(gen=ls_gen, train=ls_train))
-
-# met = evaluate.load("saicharan2804/molgenevalmetric")
-# print(met.compute(gensmi = ls_gen, trainsmi = ls_train))