Update app.py

app.py

@@ -34,7 +34,7 @@ def setup_seed(seed):
     np.random.seed(seed)
     random.seed(seed)
     torch.backends.cudnn.deterministic = True
-setup_seed(44)
+setup_seed(4)
 
 
 batch_size = 1
@@ -210,9 +210,6 @@ def ACE(file):
     else:
         shutil.rmtree(pdb_path)
         os.makedirs(pdb_path)
-    # df = pd.read_csv(seq_path)
-    # test_sequences = df["Seq"].tolist()
-    # test_Structure_index = df["Structure_index"].tolist()
         
     test_sequences = [file]
     test_Structure_index = [f"structure_{i}" for i in range(len(test_sequences))]
@@ -268,9 +265,12 @@ def ACE(file):
         out_text = output
         out_prob = probability        
     return 'output.csv', out_text, out_prob
-
+    
+with open("ACE.md", "r") as f:
+    description = f.read()
 iface = gr.Interface(fn=ACE,
                      title="🚀DeepACE: ACE classification model",
                      inputs=gr.Textbox(show_label=False, placeholder="Enter peptide or protein", lines=4), 
-                     outputs= ["file",gr.Textbox(show_label=False, placeholder="class", lines=1),gr.Textbox(show_label=False, placeholder="probability", lines=1)])
+                     outputs= ["file",gr.Textbox(show_label=False, placeholder="class", lines=1),gr.Textbox(show_label=False, placeholder="probability", lines=1)],
+                     description=description)
 iface.launch()