Updated

.ipynb_checkpoints/app-checkpoint.py

@@ -629,7 +629,6 @@ with gr.Blocks(css="""
         with torch.no_grad():
             outputs = model(input_ids).logits.detach().cpu().numpy().squeeze()
     
-        # Calculate scores and normalize them
         raw_scores = expit(outputs[:, 1] - outputs[:, 0])
         normalized_scores = normalize_scores(raw_scores)
     
@@ -638,15 +637,9 @@ with gr.Blocks(css="""
         "normalized_scores": normalized_scores.tolist()
     }
 
-    #gr.Interface(
-    #    fn=predict_utils,
-    #    inputs=gr.Textbox(visible=False),
-    #    outputs=gr.Textbox(visible=False)
-    #)
     dummy_input = gr.Textbox(visible=False)
     dummy_output = gr.Textbox(visible=False)
     
-    # Create a dummy button that's invisible
     dummy_btn = gr.Button("Predict Sequence", visible=False)
     dummy_btn.click(
         predict_utils,
@@ -654,5 +647,4 @@ with gr.Blocks(css="""
         outputs=[dummy_output]
     )
 
-    
 demo.launch(share=True)

app.py

@@ -629,7 +629,6 @@ with gr.Blocks(css="""
         with torch.no_grad():
             outputs = model(input_ids).logits.detach().cpu().numpy().squeeze()
     
-        # Calculate scores and normalize them
         raw_scores = expit(outputs[:, 1] - outputs[:, 0])
         normalized_scores = normalize_scores(raw_scores)
     
@@ -638,15 +637,9 @@ with gr.Blocks(css="""
         "normalized_scores": normalized_scores.tolist()
     }
 
-    #gr.Interface(
-    #    fn=predict_utils,
-    #    inputs=gr.Textbox(visible=False),
-    #    outputs=gr.Textbox(visible=False)
-    #)
     dummy_input = gr.Textbox(visible=False)
     dummy_output = gr.Textbox(visible=False)
     
-    # Create a dummy button that's invisible
     dummy_btn = gr.Button("Predict Sequence", visible=False)
     dummy_btn.click(
         predict_utils,
@@ -654,5 +647,4 @@ with gr.Blocks(css="""
         outputs=[dummy_output]
     )
 
-    
 demo.launch(share=True)