Update app.py

app.py

@@ -125,7 +125,7 @@ def CTXGen(τ, g_num, length_range, model_name, seed):
             cls_probability = cls_probability[0].item()
             act_probability = act_probability[0].item()
             generated_seq = generated_seq[generated_seq.index('[MASK]') + 2:generated_seq.index('[SEP]')]
-            print(generated_seq)
+
             if generated_seq.count('C') % 2 == 0 and len("".join(generated_seq)) == gen_len:
                 generated_seqs.append("".join(generated_seq))
                 if "".join(generated_seq) not in train_seq and "".join(generated_seq) not in generated_seqs[0:-1] and all(x not in NON_AA for x in generated_seq):
@@ -156,11 +156,11 @@ with gr.Blocks() as demo:
     gr.Markdown("🔗 **[Optimization Generation](https://huggingface.co/spaces/oucgc1996/CTXGen_optimization_generation)**")
     gr.Markdown("# Conotoxin Unconstrained Generation")
     gr.Markdown("#### Input")
-    gr.Markdown("✅**τ**: temperature factor controls the diversity of conotoxins generated. The higher the value, the higher the diversity")
+    gr.Markdown("✅**τ**: temperature factor controls the diversity of conotoxins generated. The higher the value, the higher the diversity.")
     gr.Markdown("✅**Number of generations**: if it is not completed within 1200 seconds, it will automatically stop.")
-    gr.Markdown("✅**Length range**: expected length range of conotoxins generated")
+    gr.Markdown("✅**Length range**: expected length range of conotoxins generated.")
     gr.Markdown("✅**Model**: model parameters trained at different stages of data augmentation. Please refer to the paper for details.")
-    gr.Markdown("✅**Seed**: Enter an integer as the random seed to ensure reproducible results. The default is random")
+    gr.Markdown("✅**Seed**: enter an integer as the random seed to ensure reproducible results. The default is random.")
     with gr.Row():
         τ = gr.Slider(minimum=1, maximum=2, step=0.1, label="τ")
         g_num = gr.Dropdown(choices=[1, 10, 20, 30, 40, 50], label="Number of generations")